Hari H.

Key Skills

Software

No software listed

Top Subject Matter

Medical screening and medication/clinical evidence retrieval

Text-to-SQL agent

Rag Domain Expertise

Top Data Types

Text

Image

Top Task Types

Diagnosis

Prompt + Response Writing (SFT)

Fine-tuning

Freelancer Overview

Med-RAG Medical Screening Analysis (Medical RAG with LlamaIndex & LangChain; MedGemma 1.5). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include LlamaIndex, LangChain, and Hugging Face. Education includes Bachelor of Technology, Chendhuran College of Engineering and Technology (2027) and High School Degree, Alagappa Model Higher Secondary School (2023). AI-training focus includes data types such as Medical, DICOM, and Text and labeling workflows including Diagnosis, Prompt + Response Writing (SFT), and Fine-tuning.

Labeling Experience

Tata GenAI Certificate + Udemy AI & LLM Engineer Track (LLM, RAG, Fine-tune)

TextFine-tuning

Completed an LLM/GenAI engineer learning track focused on LLMs, RAG, and fine-tuning topics. Applied the knowledge toward building and refining retrieval-augmented and agentic systems. Used certification learnings to support training/evaluation practices for real-world GenAI deployments. • Covered LLM and RAG concepts and implementation patterns • Studied fine-tuning approaches relevant to instruction-following models • Explored AI agent concepts and orchestration workflows • Worked through course materials while building related GenAI projects

2026 - Present

Smolbot – AI Agent (Text-to-SQL, RAG, web/document Q&A, automation features)

TextPrompt + Response Writing (SFT)

Worked on AI agent and LLM workflows that translate natural-language requests into executable actions. Focused on creating structured question-to-query functionality to support downstream retrieval and task automation. Designed evaluation-oriented agent capabilities using tools/skills orchestration. • Implemented a conversational SQL agent for natural language to structured query conversion • Incorporated retrieval-augmented question answering (RAG) over documents/files • Integrated web search and document Q&A behaviors • Used SQLite-backed response generation for task assistance

2026

Med-RAG Medical Screening Analysis (Medical RAG with LlamaIndex & LangChain; MedGemma 1.5)

Diagnosis

Built a Medical RAG system that retrieves medication usage and descriptions in the user’s language. Provided structured, evidence-based clinical insights by grounding responses on retrieved medical images and documents. Performed AI training/evaluation-oriented work by designing retrieval and response generation workflows for medical screening outputs. • Retrieved medication and medical-image content using LlamaIndex and LangChain • Generated clinical insights conditioned on retrieved evidence • Used Google MedGemma 1.5 for domain-specific generation • Focused on screening/summarization style outputs for medical decision support

2026

Education

Work History