- 💼 Software Engineer
- 🧠 Strong in Data Structures & Algorithms, Machine Learning and Deep Learning
- 🌐 Experience with React, Node.js, Express, Fastify
- 🗄️ Databases: MongoDB, PostgreSQL
- 🧩 REST APIs, backend architecture & system design
- Fine-tuned CNN models (ResNet50, InceptionV3, VGG16, AlexNet) for MRI classification
- Achieved up to 98% accuracy with ResNet50
- Deployed real-time detection using Streamlit, TensorFlow, Keras
- Research paper accepted at ICICV-2025 International Conference
- Built RFID-based smart cart using Arduino UNO
- Supports 500+ offline RFID tag scans with 3-step commands (Start, Remove, Checkout)
- Reduces checkout queues and improves retail efficiency
- Filed as a patented innovation project
- Trained LSTM model on 25+ years of financial data
- Applied transfer learning for fast onboarding of new stocks
- Integrated real-time data using Alpha Vantage API
- Achieved 92%+ prediction accuracy with live Streamlit dashboard
- Built real-time Indian Sign Language recognition (36 signs)
- Implemented using OpenCV, Mediapipe, LSTM
- Achieved 92%+ accuracy during live inference
- Developed during Dell Hack2Hire Hackathon
⭐ Focused on clean code, strong fundamentals, and building scalable systems.