Hi, I'm
Building intelligent systems.
Writing about the process.
Seeing the world through a lens.
Projects spanning AI, deep learning, and data engineering.
Multi-task delivery & satisfaction prediction with MMoE
End-to-end ML pipeline: DuckDB warehouse → feature engineering → Multi-gate Mixture-of-Experts (PyTorch) → ONNX Runtime serving. Predicts delivery time and customer satisfaction simultaneously from 20 engineered features.
End-to-end multi-agent system for semantic code retrieval
Architected a CrewAI + LangChain pipeline with ChromaDB vector search, reducing agent query latency by 40% and indexing 10k+ code embeddings.
Multi-task learning with Mixture-of-Experts routing
Resolved cross-task gradient conflicts using MMoE architecture, boosting multi-task prediction accuracy by 4% over Shared Bottom baseline.
Technical deep-dives on Medium. Life, thoughts, and experiences on the blog.
Moments captured between the code.
