Welcome to my GitHub profile! I'm an aspiring AI & Machine Learning Engineer passionate about building data-driven solutions and applying artificial intelligence to real-world challenges.

I'm a B.Tech student in Artificial Intelligence & Machine Learning with hands-on experience in machine learning, deep learning, and AI-driven applications. I specialize in Python, LSTM-based forecasting, REST APIs, and Large Language Models. My focus is on creating innovative solutions that leverage AI to solve complex problems.

• 🔭 Currently working on: AI/ML projects, enterprise LLM platforms, and time-series forecasting
• 🌱 Currently learning: Advanced deep learning architectures and cloud-native AI applications
• 💼 Looking to collaborate on: Open-source ML projects, AI research, and data science initiatives
• 💬 Ask me about: Machine learning, AI applications, Python development, and LLMs
• 📫 How to reach me: LinkedIn | Email | GitHub

An intelligent machine learning pipeline for cryptocurrency price forecasting

• Description: Developed a comprehensive ML pipeline leveraging historical market data to predict cryptocurrency prices with high accuracy.
• Tech Stack: Python, LSTM, NumPy, Pandas, Matplotlib
• Key Features:
  • Data preprocessing and feature engineering from historical crypto datasets
  • LSTM-based time-series neural network for capturing temporal patterns
  • Performance evaluation using RMSE and MAE metrics
  • Visual comparison dashboard of predicted vs actual prices
• Repository: Crypto Price Prediction

A sophisticated platform for evaluating and comparing multiple Large Language Models

• Description: Built an enterprise-grade analytics platform that enables seamless comparison of different LLMs across multiple dimensions.
• Tech Stack: Python, FastAPI, ReactJS, MongoDB, AWS, REST APIs
• Key Features:
  • Multi-LLM comparison based on latency, cost, and response quality metrics
  • Asynchronous API execution for concurrent evaluation of multiple models
  • Secure authentication system using SHA-256 hashing and session management
  • Automated CSV-based performance reporting for detailed analytics
  • Intelligent model routing to select optimal LLM based on requirements
  • Real-time performance dashboards and comparative analysis
• Repository: CrossModels-Analytics

Hands-on implementations of machine learning and deep learning techniques

• Description: Collection of practical AI/ML applications built during internship and coursework, including model development and optimization.
• Tech Stack: Python, TensorFlow, PyTorch, Scikit-learn, Flask, Streamlit
• Key Features:
  • Implementation of various ML algorithms and deep learning models
  • Experimentation with neural networks and optimization techniques
  • REST API development for ML model deployment
  • Interactive web interfaces for model visualization
• Repository: AI-ML Projects

Malla Reddy University, Hyderabad | 2023 -- Present

• Specialization: Artificial Intelligence & Machine Learning
• CGPA: [Your CGPA]

Relevant Coursework:

• Data Structures & Algorithms
• Database Management Systems (DBMS)
• Operating Systems
• Computer Networks
• Artificial Intelligence
• Machine Learning
• Deep Learning
• Web Development
• Cloud Computing

• 🏅 Introduction to Generative AI Studio -- Simplilearn
• 🏅 Prompt Engineering for Everyone -- IBM Skills Network
• 🏅 Deep Learning for Developers -- Infosys SpringBoard

AI/ML Intern @ Infosys SpringBoard | Nov 2025 -- Jan 2026

• Completed comprehensive AI/ML internship focused on machine learning model development
• Designed and developed Cryptocurrency Price Forecasting system using advanced ML techniques
• Implemented LSTM-based time-series models for market trend analysis and price prediction

✨ AI/ML Expertise - Machine Learning, Deep Learning, Large Language Models
🎯 Data Science - Data preprocessing, Feature engineering, Statistical analysis
💻 Full-Stack Development - Backend (FastAPI, Flask), Frontend (React, NextJS)
☁️ Cloud & DevOps - AWS, Azure, Docker, Kubernetes, CI/CD pipelines
🔍 Problem Solving - Analytical thinking and innovative solution development
📈 Growth Mindset - Constantly exploring emerging AI technologies and best practices

I'm always open to discussing AI projects, opportunities, or collaborations in machine learning and data science!

• GitHub: @Bhanuvedithreddy
• LinkedIn: Bhanu Vedith Reddy
• Email: reddyvedith07@gmail.com
• Phone: +91 99120243171
• Location: 📍 Hyderabad, India

⚡ Passionate about leveraging AI to solve real-world problems
🤖 Exploring the latest developments in LLMs and generative AI
📚 Continuous learner - always reading research papers and tech blogs
🌍 Open to remote internships, collaborations, and learning opportunities
🔬 Interested in AI ethics, responsible AI, and sustainable ML practices