- AI & MLOps engineer-in-training: From scratch-built CNNs to cloud-native RAG pipelines.
- Core Skills: Python, PyTorch, TensorFlow, LangChain, FastAPI, Streamlit, Docker, Kubernetes, CI/CD.
- Top Projects:
- VectorMind AI – Document Q&A engine using RAG + ChromaDB + Ollama, deployed with Docker/K8s.
- Optimizers-from-scratch – Custom implementation of optimization algorithms for deep learning, explained and coded from first principles.
I build production-grade AI systems from first principles to scalable deployments. My expertise spans:
- Deep Learning, NLP, and Retrieval-Augmented Generation (RAG)
- Cloud-native systems: Docker, Kubernetes, observability, CI/CD
- Open to collaborations on impactful AI products and research-driven prototypes
- Modular design with queues, workers, and vector stores
- Cloud-native deployments with Docker/Kubernetes
- Clear observability and caching layers for performance
“The best way to learn is to build.” — Let’s build something intelligent together.