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HH

HARSHAVARDHANA REDDY H

AI Engineer · LLM Applications & RAG

Bengaluru, Karnataka, India

@harshavardhana_reddy

GitHub LinkedIn

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🎓 B.Tech in Artificial Intelligence & Machine Learning at Visvesvaraya university technology · Graduating 2026

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About

AI Engineer focused on designing, testing, and evaluating LLM applications in Python. Hands-on with RAG systems, prompt engineering, embeddings, vector databases, and backend integration through FastAPI.

Experience

  • AI Engineering Intern
    Advaith Innovation
    Feb 2026 – Apr 2026

    Built end-to-end ML data pipelines and Python/SQL preprocessing workflows for model-ready datasets. Optimized MySQL queries and backend data workflows, built automated Python and Tableau dashboards, and supported reliable model-training workflows.

Education

  • B.Tech
    C. Byre Gowda Institute of Technology
    Artificial Intelligence and Machine Learning · Nov 2022 – May 2026

Skills

3 to 6 months 3 to 6 months A few months of practice with it.
SQL Python etl pipeline Data Preprocessing
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
C RAG LLMs Flask FastAPI PyTorch LangChain JavaScript TensorFlow Embeddings Evaluation Vector Databases Prompt Engineering

Tools / apps / platforms

3 to 6 months 3 to 6 months A few months of practice with it.
MySQL Tableau
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git Linux Claude GitHub MongoDB ChromaDB Hugging Face Microsoft Power BI

Projects

  • DocsRAG: AI-Powered Documentation Question-Answering System
    LangChain, ChromaDB, Anthropic API

    Built a hybrid RAG assistant for technical documentation using dense vector retrieval and keyword search. Implemented reranking and evaluation workflows to improve retrieval and answer quality.

  • Fine-Tuned LLM for Automated Code Review Comments
    Python, PyTorch, QLoRA, FastAPI

    Fine-tuned Qwen2.5-Coder-7B-Instruct with QLoRA on GitHub code-review data to generate actionable review comments and identify code that needs no changes. Built an evaluation pipeline and deployed the system as a FastAPI REST API and CLI.

Courses & certifications

  • Model Context Protocol (MCP) Certification · Anthropic · 2026
  • AI Agents Course Certification · Hugging Face · 2026

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