Junior Software Engineer | B.Tech

Junior Software Engineer with hands-on exposure to web development, Python programming, artificial intelligence, machine learning, data analytics, and modern AI-assisted technologies. Driven by curiosity and a strong interest in understanding how technology can be transformed into practical, efficient, and user-focused solutions. Passionate about software development and continuously exploring new technologies, development approaches, and emerging applications of artificial intelligence. Interested in building solutions that combine software engineering, AI, automation, data, and intuitive user experiences to address real-world challenges. Enjoy working through problems from the initial idea and understanding the requirements to exploring possible solutions, experimenting with technologies, improving workflows, and developing practical applications. Strongly interested in learning how different technologies work together and continuously improving technical and problem-solving abilities through hands-on experimentation and projects. Particularly interested in Artificial Intelligence, Generative AI, machine learning, AI-assisted development, full-stack development, web technologies, automation, data analytics, prompt engineering, SaaS products, and open-source technologies. Also interested in the growing role of AI in software development and how intelligent systems can make everyday business and technical processes more efficient. A continuous learner with a mindset focused on problem-solving, logical thinking, creativity, adaptability, collaboration, and practical implementation. Comfortable exploring unfamiliar technologies, learning through experimentation, and using modern development and AI tools to accelerate research, ideation, troubleshooting, and solution development. Looking to grow as a software engineer by working on challenging real-world problems, contributing to meaningful technology products, learning from experienced teams, and continuously expanding knowledge across software engineering and artificial intelligence. Long-term interests include building intelligent software products, exploring innovative ideas, and contributing to technology that creates measurable value.

💻Interships -

🐍 Python Programming Intern | CETPA Infotech Pvt. Ltd.

Internship | Jan 2025 – Mar 2025 | Greater Noida, Delhi

Worked as a Python Programming Intern, gaining hands-on experience in Python programming, small-scale application development, automation, data handling, and practical software development processes. Worked on developing small Python applications and automation scripts designed to simplify repetitive tasks and improve workflow efficiency. Gained practical experience in understanding programming requirements, developing solutions, testing functionality, identifying issues, and refining scripts to achieve the desired results. Applied Python programming concepts and libraries while developing solutions for practical tasks. Strengthened understanding of programming logic, structured problem-solving, debugging, and writing maintainable code through hands-on implementation. Also worked with raw datasets, performing data cleaning and preprocessing to prepare information for analysis and machine learning applications. Worked with unprocessed data and improved its quality and structure for further analysis. Developed a stronger understanding of the relationship between Python programming, automation, data preprocessing, analysis, and machine learning, while strengthening practical software development skills.

🌐 Web Development Intern | CETPA Infotech Pvt. Ltd.

Internship | Jan 2023 – Mar 2023 | Greater Noida, Delhi

Worked as a Web Development Intern with a focus on front-end development using HTML, CSS, react Gained practical experience in designing and developing responsive web interfaces and contributed to structured, user-friendly web pages with attention to layout, usability, responsiveness, and interactive elements. Used HTML to structure web content, CSS to create responsive layouts and improve visual presentation, and JavaScript to implement interactive UI features and enhance user interaction. Applied front-end development practices to create web pages that could adapt across different screen sizes and browsers. Gained hands-on exposure to responsive web design, cross-browser compatibility, website performance, UI implementation, debugging, and front-end problem-solving. Developed an understanding of how individual front-end technologies work together to create complete web interfaces while strengthening practical skills in writing, testing, debugging, and refining web code.

🚀 Featured Projects

📱 Attendly | AI WhatsApp Receptionist for SMBs - POLSIA.AI

Aug 2026 – Present

Building an AI-powered customer communication platform for small and medium businesses. Designed the product concept, MVP architecture, business workflow, and AI receptionist experience, with a deployed landing page and dashboard prototype. The planned product capabilities include customer support, lead capture, appointment booking, and automated follow-ups through WhatsApp. The project focuses on applying artificial intelligence to practical business communication workflows and exploring how an AI-powered receptionist can help businesses manage customer interactions more efficiently. Attendly | AI WhatsApp Receptionist for SMBs is an AI-powered customer communication and business automation platform I am building to help small and medium-sized businesses manage customer interactions more efficiently through WhatsApp by transforming the traditional receptionist experience into an intelligent, automated, and scalable digital workflow. I designed the product concept, MVP architecture, application workflow, user experience, and overall business automation direction around the idea of an AI receptionist that can serve as a business’s first point of contact, communicate naturally with customers, understand questions and requests, provide business-specific information, answer frequently asked questions, collect customer details, capture and qualify potential leads, assist with appointment-related inquiries and booking workflows, and support automated customer follow-ups. The platform is designed to allow businesses to provide their own business context, including services, working hours, FAQs, policies, contact information, and other relevant details, enabling the AI receptionist to generate responses that are more relevant to the individual business rather than behaving like a generic chatbot. I focused the product around practical business communication problems such as missed inquiries, repetitive customer questions, slow response times, manual lead collection, appointment coordination, and follow-up tasks, with the goal of allowing businesses to automate routine conversations while maintaining the ability to involve a human employee whenever a customer requires personal attention, a complex request needs escalation, or the AI reaches the limits of its capabilities. Rather than treating AI simply as a conversational interface, Attendly is designed to turn customer conversations into actionable business workflows by connecting AI communication with lead capture, customer information management, appointment processes, follow-up automation, and other repetitive operational tasks. I developed the product experience around a deployed landing page and dashboard prototype, establishing the foundation for a broader AI-powered SaaS platform focused on real-world business communication and workflow automation. From a technical perspective, the application is built on a modern Next.js 16 App Router, React 19, TypeScript, Tailwind CSS 4, shadcn/ui, Prisma, Zod, and Vitest foundation, providing the structure required for a scalable web application, reusable user-interface components, API-driven functionality, database interaction, validation, testing, and deployment. The repository uses package.json to manage the application's dependencies and development lifecycle, including development, production build, linting, formatting, type checking, testing, and Prisma database commands, while package-lock.json locks dependency versions to provide reproducible installations. The src directory serves as the primary application area containing the product interface, routes, API handlers, reusable components, hooks, business logic, database utilities, navigation, styling, and other application-specific functionality, following the project's defined application architecture. The project uses Prisma for database interaction, with prisma.config.ts configuring Prisma to locate the schema within the prisma/schema directory and supporting environment-based database configuration for development and deployment. proxy.ts provides the application's request-level security and Content Security Policy layer, including per-request security nonces and the middleware integration point, while next.config.ts manages the Next.js application configuration and important security headers such as transport security, content-type protection, frame protection, referrer policy, permissions policy, and cross-origin security controls. next.user-config.ts provides the user-owned configuration layer for application-specific Next.js customization, including remote image sources, browser capabilities, additional Content Security Policy sources, and optional configuration plugins. The project uses components.json to configure the shadcn/ui component system, including its design style, Tailwind integration, component aliases, and Lucide icon library, while biome.json establishes code-quality, linting, import, correctness, and formatting rules to maintain a consistent and reliable codebase. vitest.config.ts configures the project's unit-testing environment with Vitest, React support, jsdom, and the project's test structure, providing a foundation for validating application contracts, API behavior, and utility logic, while tsconfig.json establishes strict TypeScript settings, modern JavaScript targets, module resolution, JSX support, path aliases, and compile-time type checking. postcss.config.mjs provides the Tailwind CSS 4 PostCSS integration used by the application, and polsia.toml defines the deployment and runtime configuration for the Node.js application, including the build process, startup process, health-check endpoint, runtime port configuration, database environment configuration, and scheduled background jobs. The repository also contains AGENTS.md, which documents the underlying Polsia Next.js architecture, development workflow, ownership model, framework boundaries, application structure, and rules for safely extending the project, helping separate framework-managed infrastructure from application-specific development. Supporting repository files such as .gitignore manage which generated, environment-specific, sensitive, or unnecessary files should remain outside version control, .npmrc provides npm configuration, and LICENSE defines the licensing terms for the underlying project code. Through Attendly, my work combines Artificial Intelligence, Generative AI, AI-powered automation, software development, SaaS product design, customer communication workflows, and business process automation into a practical product concept aimed at solving a real operational problem for businesses. The broader vision is to evolve Attendly beyond a single WhatsApp receptionist into a platform of AI-powered digital employees capable of performing specialized business functions such as customer support, sales assistance, lead qualification, appointment management, customer follow-ups, information handling, and other repetitive communication-driven tasks. The ultimate goal is to create an intelligent business communication layer that can respond to customers faster, reduce repetitive manual work, minimize missed inquiries, capture and organize more potential leads, streamline appointment workflows, maintain consistent customer communication, and allow human employees to focus their time on higher-value activities, making Attendly not merely a chatbot but a foundation for practical AI-driven business automation.

💼 Professional Experience

🤖 AI Agentic Development | Handshake AI

Project-based Contract | Jul 2026 – Aug 2026 | Remote

Built and completed an AI-agent-driven software engineering workflow focused on task definition, agent instructions, implementation, testing, validation, and submission pipelines. The project involved giving an AI agent precise instructions and requirements and guiding it to independently execute and complete structured software tasks within a GitHub repository. Worked with a structured repository containing task specifications, source files, tests, scripts, configuration, and supporting infrastructure. Worked on solution workflows using solution/solve.sh and supporting project logic, with automated testing through tests/test.sh and test_outputs.py. Used artifact-based validation to verify that the agent's implementation produced the required behavior and outputs. Worked with Docker-based, reproducible environments using Dockerfile configuration, pinned dependencies, and controlled execution environments. Also worked with proposal generation, proposal/pipelining workflows, Git branches, submission processes, and repository organization involving .github, .dynamo, and .harbor directories. The completed workflow was evaluated through the Harbor oracle and achieved a reward of 1.0, demonstrating successful task execution and validation. This project provided hands-on experience with AI agents, prompt and instruction engineering, autonomous task execution, Git/GitHub workflows, repository architecture, automated testing, Docker environments, task specification, proposal pipelines, validation systems, debugging, and reproducible software engineering workflows. During my work with Handshake AI, I built and completed an AI-agent-driven software engineering workflow focused on enabling an AI coding agent to independently understand requirements, modify a structured GitHub repository, implement software changes, test the implementation, validate the generated outputs, and prepare the final solution for submission. The project involved working with AI agents by providing precise instructions, technical requirements, constraints, expected behavior, and relevant project context so the agent could execute software engineering tasks accurately within an existing repository. I worked with a structured codebase containing source files, task specifications, configuration files, tests, scripts, documentation, dependencies, and supporting project infrastructure, and learned how to navigate and understand an unfamiliar repository before making the required changes. I worked with solution workflows using implementation logic and supporting scripts such as solution/solve.sh, while maintaining the required project structure and ensuring that the solution followed the original task requirements. I used automated testing through files and workflows such as tests/test.sh to verify that the implementation produced the expected behavior and outputs, and used artifact-based validation to confirm that the required files, changes, and generated results were correctly produced. I also worked with Docker-based and reproducible execution environments, including Dockerfile configuration, pinned dependencies, controlled runtime environments, and isolated execution setups, to ensure that solutions could be executed and evaluated consistently. The workflow included Git and GitHub repository management, Git branches, repository organization, structured submission processes, proposal generation, proposal and pipelining workflows, and project directories such as .github, .dynamo, and .harbor. I worked through the complete development cycle of understanding a task, instructing the AI agent, allowing the agent to implement the solution, reviewing the generated changes, running tests, troubleshooting implementation issues, validating artifacts and outputs, refining instructions or solutions when necessary, and preparing the completed work for evaluation. The completed workflow was evaluated through the Harbor oracle and achieved a reward of 1.0, demonstrating successful task execution and validation. This experience gave me hands-on exposure to AI agents, autonomous software development, prompt and instruction engineering, AI-assisted coding, Git/GitHub workflows, repository architecture, task specification, software implementation, automated testing, artifact validation, debugging, Docker environments, reproducible software engineering, proposal pipelines, submission workflows, and AI-agent evaluation systems, providing practical experience in using AI agents as part of a structured software engineering development process.

🧬 Analysis of Disease-Gene Association Using Machine Learning

Jun 2025 – Dec 2025

Analysis of Disease-Gene Association Using Machine Learning was an academic machine learning and bioinformatics project focused on exploring the relationships between human diseases and their associated genes using computational and data-driven techniques. The project aimed to investigate how artificial intelligence and machine learning can be applied to complex biological and genetic data to identify meaningful patterns, relationships, and potential disease-gene associations that may support research and understanding in the healthcare and bioinformatics domain. I worked with disease-related and gene-related datasets, performed data preparation and preprocessing, examined the available biological information, identified relevant features and relationships within the data, and applied machine learning techniques to analyze potential associations between diseases and genes. The project involved transforming and organizing complex data into a form suitable for computational analysis, exploring relationships between different data attributes, training and evaluating machine learning approaches, and interpreting the resulting patterns and analytical outcomes. I also focused on understanding how data-driven models can process large and complex biological information and generate useful insights that could contribute to disease research and the study of genetic relationships. Through this project, I gained practical experience with Python, machine learning, data analysis, data preprocessing, feature-based analysis, model evaluation, pattern identification, and interpretation of machine learning results, while developing an understanding of how computational methods can be applied to research-oriented problems involving biological and genetic information. The project provided hands-on exposure to applying artificial intelligence and machine learning concepts to a real-world healthcare and bioinformatics problem and strengthened my understanding of how computational data analysis can be used to explore complex disease-gene relationships.

🌐 Responsive Web Applications & 🐍 Python Automation

Developed responsive web applications using HTML, CSS, and JavaScript, focusing on structured layouts, responsive interfaces, interactive functionality, usability, and cross-device presentation. The work strengthened practical understanding of front-end development and how HTML, CSS, and JavaScript work together to create complete web interfaces. Developed Python-based automation solutions for practical tasks and repetitive workflows. Worked with Python programming logic, scripting, data handling, debugging, and automation while developing solutions designed to simplify tasks and improve workflow efficiency.

🛠️ Technical Skills

Programming Python React HTML CSS Artificial Intelligence (AI) Generative AI AI Agents Machine Learning Prompt Engineering AI-assisted Software Development AI Automation Software Development Software Engineering Problem Solving Debugging Automation Software Testing Automated Testing Data Preprocessing Data Analysis Web Development Front-End Development Responsive Web Design UI Implementation Development Tools & Workflows Git GitHub Docker Git Branching Repository Management Automated Validation Task Workflows Proposal Pipelines

🎓 Education

X - NCERT WOODLANDS HOUSE SCHOOL Bachelor of Technology - Computer Science and Engineering SSM College of Engineering and Technology Affilated with - University of Kashmir 2021 – 2025
INTERNSHIPS -- CETPA INFO TECH PVT. LMT | NOIDA UP DELHI

Completed a B.Tech in Computer Science and Engineering with academic and practical exposure to programming, software development, web technologies, artificial intelligence, machine learning, data analysis, and computer science fundamentals. Academic work included the Analysis of Disease-Gene Association Using Machine Learning project along with practical development work in Python and web technologies.

📚 Training & Certifications

Industrial Training in Web Designing Python Programming Training Practical Web Development Training Practical Python Programming Experience 🔍 Areas of Interest Artificial Intelligence Generative AI AI Agents AI-assisted Software Development Machine Learning Python Development Web Development Front-End Development Automation Data Analytics Prompt Engineering SaaS Products Software Engineering Intelligent Systems

🎯 Career Objective

I continuously explore new technologies and development approaches through hands-on experimentation and projects. My current learning interests include improving my understanding of AI agents, Generative AI, AI-assisted development, Python, machine learning, automation, web technologies, software engineering workflows, and intelligent software systems. I enjoy learning by building, testing ideas, understanding how different technologies work together, identifying problems, experimenting with possible solutions, and improving implementations through practical work. I am looking to grow as a Junior Software Engineer by working on challenging real-world problems, contributing to meaningful technology products, learning from experienced teams, and continuously expanding my knowledge across software engineering and artificial intelligence. I am particularly interested in opportunities involving AI agents, artificial intelligence, Python, automation, web development, software engineering, and AI-powered products. My long-term interest is in building practical intelligent software products and exploring innovative ways in which artificial intelligence can improve everyday business and technical processes.

📊 Quick Profile

🎓 Education B.Tech in Computer Science & Engineering 💻 Primary Focus Software Engineering 🤖 AI Artificial Intelligence, Generative AI, AI Agents, Machine Learning 🐍 Programming Python, JavaScript 🌐 Web HTML, CSS, JavaScript, Responsive Web Development 🔧 Tools Git, GitHub, Docker 🧪 Development Testing, Debugging, Automation, Data Preprocessing 💼 Experience Handshake AI, Python Programming Internship, Web Development Internship 🚀 Projects Attendly, AI Agent Workflow Automation, Disease-Gene Association ML, Web Applications, Python Automation 🎯 Career Goal Junior Software Engineer / AI-focused Software Developer 📌 About This GitHub

This profile contains my software projects, academic work, AI-related development, web applications, Python projects, automation work, and technical experiments. I aim to keep my repositories organized with clear documentation, project explanations, technologies used, implementation details, and setup information wherever appropriate. My goal is to use GitHub not only as a place to store code, but also as a record of what I build, what I learn, and how my software engineering skills develop over time.

🔗 Connect With Me

LinkedIn: FAIQ AYOOB MIR | www.linkedin.com/in/eveningstar777