I’m a Computer Science (Data Science) undergraduate passionate about building intelligent, scalable, and impactful software systems powered by AI.
I enjoy developing real-world applications involving:
- Artificial Intelligence & Generative AI
- Software Engineering
- Machine Learning & Data Analytics
- AI Workflow Automation
- Retrieval-Augmented Generation (RAG)
- Conversational AI Systems
- Modern AI Workflows & Automation Pipelines
I actively focus on building practical, production-oriented solutions while continuously improving my:
- Problem-solving abilities
- System design thinking
- Development workflows
- Software engineering practices
- Building advanced AI-powered applications
- Strengthening Data Structures & Algorithms
- Exploring Agentic AI & MCP architectures
- Learning scalable backend systems
- Improving software engineering practices
- Building production-level AI workflows
- Contributing to open-source projects
- Exploring cloud & scalable architectures
- Machine Learning
- RAG
- AI Workflow Automation
- Computer Vision
- Streamlit
- OpenCV
- NumPy
- Pandas
- Matplotlib
- Scikit-learn
- REST APIs
- Oracle Cloud Infrastructure (OCI)
- Data Structures & Algorithms
- Object-Oriented Programming
- DBMS
- Problem Solving
AI-powered video intelligence platform for semantic video understanding and conversational querying across YouTube and local video content.
- Semantic video retrieval
- Conversational memory workflows
- Intelligent clip generation
- AI-based notes generation
- Timestamp-aware querying
- Multimodal architecture
Python Streamlit RAG MCP Vector Search AI Workflows
🔗 Repository: View Project
Real-time computer vision application supporting webcam, image, and video inference with intelligent analytics.
- Real-time object detection
- Segmentation support
- Dynamic model switching
- Object counting & analytics
- Low-latency inference pipeline
- Interactive visualization dashboard
YOLOv11 OpenCV Streamlit Python
🔗 Repository: View Project
AI-powered exploratory data analysis platform for automated dataset intelligence and interactive analytics.
- Automated dataset intelligence
- AI-driven insights
- Correlation analysis
- Dataset health scoring
- Dynamic dashboards
- Statistical analysis workflows
Python Streamlit Pandas Machine Learning
🔗 Repository: View Project
- Oracle Cloud Infrastructure (OCI) 2025 Certified Generative AI Professional
- AI Upskilling: Hands-On Development from Model to App – Qualcomm
- Google Cloud Generative AI Virtual Internship
- Artificial Intelligence & Data Analytics Virtual Internship
- CCNA: Networking, Security & Automation
- Android Development & AI/ML Program – Google for Developers
- Data Analytics & Visualization Virtual Experience – Tata & Deloitte
- Contributing to open-source projects
- Exploring collaborative development workflows
- Building real-world AI applications
- Practicing clean code & modular architecture
- Continuously learning modern technologies
- Consistently building AI-powered applications
- Practicing DSA & problem solving
- Exploring scalable software architectures
- Working on production-oriented AI systems
- Learning modern engineering workflows
- Become highly skilled in AI & Software Engineering
- Build impactful AI-powered products
- Strengthen DSA & problem-solving abilities
- Contribute to meaningful open-source projects
- Develop scalable production-level systems
- Secure opportunities at top product-based companies
- Exploring emerging AI technologies
- Following modern software engineering trends
- Participating in hackathons & innovation events
- Learning through building
- Photography & travelling
