Harsh Kamat

Applied AI · Generative AI · ML Engineering

Bengaluru, India

@harsh_kamat

LinkedIn GitHub

0 followers

🎓 Computer Science and Engineering at VTU · Graduating 2027

About

Final-year Computer Science Engineering student building applied AI systems in Python, including retrieval-augmented LLM applications, machine learning evaluation, and backend engineering, testing, CI and deployment. Seeking AI/ML engineering internships and entry-level roles from 2027.

Experience

IBM SkillsBuild AI & Cloud internship program

Edunet Foundation with AICTE

2026 – —

NutriMind AI began as its project and was subsequently extended through five engineering milestones.

Education

B.E.

AMC Engineering College · VTU

Computer Science and Engineering · 2023 – 2027

Skills

6 to 12 months

RAG Python Machine Learning

<3 months

SQL NumPy Flask Pandas Alembic JavaScript Matplotlib Embeddings SQLAlchemy scikit-learn Prompt Design Google BigQuery Model Evaluation Gradient Boosting

Tools / apps / platforms

6 to 12 months

Docker Pytest Render SQLite ChromaDB PostgreSQL GitHub Actions

<3 months

Git Microsoft Power BI

Projects

Lamatic AgentKit PR #408

JavaScript

Roster-rules auditor template with deterministic rule evaluation and source-line checks.
Redrob Ranker

Python, algorithm design, feature engineering, deterministic scoring

Deterministic candidate ranking system for matching candidate profiles to a job description.
VeriQA

Python, scikit-learn, gradient boosting, isotonic calibration, SQuAD 2.0, pytest

Selective extractive question answering system with calibrated abstention based on error risk.
NutriMind AI

Python, Flask, IBM watsonx.ai (Granite), ChromaDB, SQLAlchemy, Alembic, PostgreSQL, Docker, pytest, GitHub Actions

Multi-user RAG nutrition assistant with per-user PDF retrieval, specialist-agent routing, deterministic nutrition calculations, and CI-tested backend deployment.

Courses & certifications

Google Data Analytics Professional Certificate · Google / Coursera · 2025

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