I engineer intelligent systems designed for performance, scalability, and real-world deployment.
🧠 Architecting AI pipelines
⚡ Optimizing inference & decision engines
🎯 Designing real-time computer vision systems
🔥 Shipping complete ML products
Automated news intelligence system powered by NLP
- Real-time article scraping pipeline
- Transformer-based summarization
- Topic classification & filtering
- Structured briefing generation
- Backend API integration for scalable deployment
Clinical risk prediction using supervised machine learning
- Data preprocessing & feature engineering
- Logistic Regression / Ensemble modeling
- Model evaluation with precision-recall analysis
- Risk probability output system
- Deployment-ready architecture
GPU-accelerated detection pipeline
- Custom model training
- CUDA optimized inference
- Live video stream detection
- PyTorch + OpenCV architecture
Algorithmically optimized from scratch
- Minimax + Alpha-Beta pruning
- Capture-priority move ordering
- Piece-Square Tables (PST)
- Advanced evaluation heuristics
- Modular engine architecture
Python PyTorch TensorFlow scikit-learn OpenCV MLflow
Transformers LangChain Vector Databases RAG Pipelines
FastAPI Flask Node.js Express MongoDB
React Next.js TailwindCSS
Docker GitHub Actions AWS CUDA GPU Optimization
🧠 Advancing transformer-based NLP systems
⚡ Optimizing GPU inference pipelines
🎯 Building real-time perception systems
🏗 Designing modular AI architectures
Build modular systems.
Optimize aggressively.
Design for deployment.
Ship intelligent systems — not toy projects.