Design, develop, and deploy production-grade ML models and Generative AI solutions spanning LLMs, RAG, and Multi-modal AI.
Build and optimize AI agents using frameworks like LangChain, LangGraph, and LangSmith to automate complex business workflows.
Architect and maintain scalable AI pipelines and RESTful services using FastAPI and Python, implementing MLOps best practices for model versioning, monitoring, and retraining.
Implement Retrieval-Augmented Generation (RAG) pipelines using Vector Databases and perform parameter-efficient fine-tuning (PEFT/LoRA) on foundational models.
Conduct advanced statistical analysis and feature engineering on large-scale structured and unstructured datasets.
Design and optimize data storage solutions across SQL (PostgreSQL, MySQL) and NoSQL (MongoDB) environments.
Apply software design patterns and robust data structures to ensure code is maintainable, repeatable, and efficient.
Lead code reviews, mentor junior engineers, and advocate for engineering best practices across AI initiatives.