Manharsh Singh

I’m a final-year Computer Science (AI/ML focus) engineer with a 6-month Data Science internship and three end-to-end projects spanning Retrieval-Augmented Generation (RAG), LLM integration, and predictive modeling. I focus on the full ML lifecycle—data cleaning, feature engineering, model evaluation, and explainability—while keeping a builder’s habit of shipping working prototypes.

In my Generative AI work, I’ve built production-style RAG pipelines with LangChain and ChromaDB, using multi-provider LLM inference (NVIDIA NIM, Groq, Ollama) with automatic fallback logic to reduce downtime. I deploy models via Flask REST APIs with MongoDB persistence and bring interpretable insights using SHAP for churn prediction. I’m seeking an entry-level AI/ML Engineer or Generative AI Engineer role to apply this foundation on real-world systems.