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Akshaia Sai H

AI/ML Engineer · LLM Applications & Agentic AI

Coimbatore, Tamil Nadu, India

@akshaia_sai_h

0 followers

🎓 M.Sc. Artificial Intelligence & Machine Learning · Graduating 2028

About

AI/ML Engineer specializing in LLM application development, Agentic AI, and Retrieval-Augmented Generation systems. Experienced in building production backend services, deploying with Docker/AWS, and fine-tuning open-source LLMs for domain-specific tasks.

Experience

  • AI Developer Intern
    Goodbooks ERP
    Jun 2026 – Sep 2026

Education

  • M.Sc.
    Coimbatore Institute of Technology
    Artificial Intelligence & Machine Learning · 2023 – 2025

Skills

Projects

  • RAG-as-a-Tool MCP Server
    MCP, Python, LangGraph

    MCP server exposing an Agentic RAG document-QA pipeline as a callable tool for MCP-compatible clients.

  • AI-Database-Co-Pilot
    Next.js, FastAPI, TypeScript

    Local AI co-pilot for secure natural-language chat with structured data via a FastAPI orchestration layer.

  • Agentic-RAG-Sample
    LangGraph, Ollama

    Local Agentic RAG system with adaptive query routing and self-correcting retrieval feedback loops.

  • AI Agriculture Assistant
    FastAPI, React, LLMs

    Full-stack AI system for crop yield prediction and soil analysis with LLM-powered recommendations and a live dashboard.

  • LLM Fine-Tuning Pipeline (RL_FT)
    MLX, LoRA/QLoRA, Streamlit, FastAPI

    Parameter-efficient fine-tuning pipeline for Qwen2.5-1.5B with a Streamlit training UI and FastAPI serving layer.

Courses & certifications

  • Google Data Analytics · Google
  • NPTEL Cloud Computing · NPTEL
  • NPTEL Big Data · NPTEL
  • Databricks Fundamentals · Databricks
  • Google AI Essentials · Coursera
  • IBM AI Engineering Professional Certificate · Coursera

🏆 Achievements & awards

  • Hackathon Runner-Up – AI Agriculture Assistant

    Recognized for a full-stack LLM-powered crop yield and soil analysis system built and demoed under competition time constraints.

🎯 Hobbies & interests

  • Agentic AI
  • LLM Fine-tuning
  • RAG Systems
  • Multi-Agent Orchestration
  • MLOps

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