Building intelligent systems that solve real-world problems through cutting-edge AI/ML technologies
I'm a Full Stack Machine Learning Engineer at DeepEdge, specializing in computer vision, deep learning, and scalable AI solutions. With a strong foundation in both research and production-grade ML systems, I bring ideas from paper to deployment.
- 🎯 Currently working on anti-UAV quadcopter tracking systems with advanced object detection and tracking
- 🔬 Published researcher with papers in Homomorphic Encryption and ML in Medicine
- 🏆 Top 10 finalist at Challang Hackathon (100 elite teams worldwide)
- 🌟 LiFT Scholar 2022 (Top 500 worldwide)
- 💡 Active contributor to PyTorch Lightning, Hugging Face, KerasCV, and KerasNLP
- 📊 Competitive programmer: Ranked 18/2500 in HackerEarth ML Challenge
- 🎓 B.Tech in Electronics and Communication Engineering with 8.94 CGPA
March 2025 – Present | Hyderabad, India
Building defense-grade computer vision systems:
- 🎯 Developed end-to-end anti-UAV quadcopter tracking system for runaway detection under challenging infrared conditions
- 🚀 Achieved 50%+ performance improvement over YOLOv8s through motion queue masks optimization
- 🔬 Implemented MOG2 Background Subtraction + SVM Classification achieving 30% performance gains
- 📈 Integrated advanced tracking algorithms: Lucas-Kanade, TAPNet (GoogleDeepmind), CoTracker (Facebook)
- 🎛️ Built sophisticated tracking models with YOLOv8, Kalman filters (linear & non-linear), and infrared thermal optimization
- 👥 Successfully managed 2-3 simultaneous client projects while maintaining high service quality
July 2023 – March 2025 | Hyderabad, India
Delivered enterprise-grade AI solutions:
- 🤖 Architected multilingual RAG pipeline with FAISS vector database, FastAPI endpoints, and Docker containerization
- 🎬 Engineered Django-based movie recommendation system using content-based filtering, FunkSVD, and popularity algorithms
- 📊 Developed predictive model for customer purchase likelihood achieving 90% accuracy through advanced feature engineering
Feb 2023 – May 2023 | Remote
Contributed to cross-framework ML infrastructure:
- 🔧 Implemented robust functions across TensorFlow, JAX, NumPy, PyTorch, PaddlePaddle increasing code coverage by 10%
- ✅ Led comprehensive unit testing with Hypothesis framework achieving 80% test coverage
- 🛠️ Developed Ivy OpConverters for TensorRT backend and mentored contributors through complex codebases
- YOLOv8, Kalman Filters (Linear & Non-linear)
- Lucas-Kanade Tracking, TAPNet, CoTracker
- MOG2 Background Subtraction, Infrared Thermal Optimization
- Object Detection, Point Tracking, Motion Analysis
- RAG Pipelines, Vector Databases (FAISS, ChromaDB, Pinecone)
- DeepSeek-R1, LLama Models, Groq, Ollama
Tech Stack: Groq | Ollama | DeepSeek-R1 | LangChain | SQLite | ChromaDB | FastAPI
Built intelligent flight data analysis system using advanced RAG architecture with DeepSeek-R1-Distill-LLama-70B and LLama 3.2:3B models for comprehensive flight analytics.
Tech Stack: PyTorch | Deep Learning | ALBERT Transformer
Engineered sophisticated feature engineering and preprocessing pipeline improving model accuracy by 10% using synthetic PyTorch datasets and ALBERT transformer for advanced multiclass classification.
Tech Stack: Django REST Framework | SQLite | JWT Authentication
Architected comprehensive full-stack food delivery platform featuring:
- Vendor management system & proximity-based search
- Payment integration & dynamic menu management
- Automated tax calculations & real-time order tracking
- Push notification system
Tech Stack: TensorFlow | Gated RNNs | Deep Learning
Developed innovative predictive healthcare model using Gated RNNs to analyze children's physical activity patterns for early detection of problematic internet use, contributing to child mental health research.
Tech Stack: Python | HNSW Graphs
Built high-performance lightweight vector database using Hierarchical Navigable Small World (HNSW) graphs for efficient similarity search and retrieval operations.
- 🥇 Top 10 Finalist - Challang Hackathon (100 elite teams worldwide)
- 🥈 Rank 18/2500 - HackerEarth ML Challenge
- 🥉 Rank 12/1000+ - Cipla Competition
- 🌍 1.6k Globally - Google Code Jam for Women
- 🎓 LiFT Scholar 2022 - Top 500 worldwide
- 👥 GHC OSD'23 Mentor - OpenSSF project mentor
- 🌐 Active Open Source Contributor - PyTorch Lightning, Hugging Face Transformers, KerasCV, KerasNLP
Expertise in: Data Structures, Algorithms, Competitive Programming, Problem Solving
⚡ "The only way to do great work is to love what you do." - Steve Jobs
💻 Open to collaboration on ML/AI projects | 🌟 Always learning and growing