Thorlapati N.

Key Skills

Software

Other

Top Subject Matter

RAG and LLM retrieval QA

AI integration

FUllstack developer

Top Data Types

Document

Image

Top Task Types

Question Answering

Diagnosis

Freelancer Overview

DocMind-AI — RAG-based AI document question answering platform. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Technology, Sasi Institute of Technology and Engineering (2025) and Intermediate, Sasi Jr. College (2021). AI-training focus includes data types such as Document and Image and labeling workflows including Question Answering and Diagnosis.

Labeling Experience

MedLeaf — AI-powered medicinal plant identification platform

OtherImageDiagnosis

Built an AI-powered medicinal plant identification platform that takes images and returns medicinal insights. Implemented an image-based inference flow by integrating Gemini AI through a Python backend API layer. Enabled end-to-end communication between the frontend upload UI and backend AI response handling. • Image ingestion and API-driven AI inference • Automated medicinal insight generation from model outputs • REST API development for frontend-backend interaction • Scalable workflow design for future AI feature expansion

2024 - 2024

DocMind-AI — RAG-based AI document question answering platform

OtherDocumentQuestion Answering

Developed a document Q&A system using a retrieval-augmented generation pipeline for context-aware answers. Ingested documents, chunked and embedded content, stored vectors in a vector database, and retrieved relevant chunks for prompt context. Produced LLM responses grounded in retrieved document segments. • Chunking and embedding of document text for retrieval • Context-aware LLM answering using RAG orchestration • Vector storage and similarity-based retrieval • End-to-end pipeline integration with backend and frontend services

2024 - 2024

Education

Work History