Open to opportunities

Harsh Kamat

@harshkamat

Message

I build trustworthy LLM applications with retrieval, deterministic logic, and automated testing.

India

Message

What I'm looking for

I'm seeking AI, Generative AI, Applied AI, or AI Automation internships and entry-level roles where I can build trustworthy LLM applications, retrieval systems, and production-minded AI products.

I built NutriMind AI, a retrieval-grounded nutrition assistant on IBM watsonx.ai Granite, with citations constructed in Python so the model cannot fabricate sources.

My work spans RAG pipelines, agent routing, embeddings, vector search, and deterministic application logic. For NutriMind AI, I shipped Flask-based SSE streaming, a four-agent coordinator, and a nutrition engine where every displayed figure is computed in Python.

I also built Redrob Ranker, a deterministic candidate-ranking engine that ranked the top 100 candidates from a 100,000-profile pool in under a minute on CPU. I evaluated and rejected an embedding-based layer when exact hash classification proved more accurate, faster, and reproducible.

During the IBM SkillsBuild AI & Cloud internship with Edunet Foundation and AICTE, I applied prompt engineering, retrieval systems, automated testing, CI, environment-driven configuration, and fail-fast validation to deliver a documented Generative AI product.

Experience

Work history, roles, and key accomplishments

AI & Cloud Intern

IBM SkillsBuild · Edunet Foundation · AICTE

Jun 2026 - Jul 2026 (1 month)

Selected for the IBM SkillsBuild AI & Cloud internship to build a Generative-AI product under industry mentorship; designed and built NutriMind AI on IBM watsonx.ai Granite models. Applied prompt engineering, retrieval systems and software-engineering practice to ship a documented application that runs with or without cloud credentials.