Deep T.

Key Skills

Software

No software listed

Top Subject Matter

LLM RAG pipeline optimization

LLM tool/function calling

AI training support

Top Data Types

Text

Top Task Types

Fine-tuning

Freelancer Overview

Software Engineering Intern at Humantic AI (LangGraph, RAG, Python/Node.js/React, MySQL/MongoDB). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Technology, Indian Institute of Information and Technology (IIIT) (2026). AI-training focus includes data types such as Text and labeling workflows including Fine-tuning.

Labeling Experience

Software Engineering Intern at Humantic AI (LangGraph, RAG, Python/Node.js/React, MySQL/MongoDB)

TextFine-tuning

Worked on building LLM/RAG components, including retrieval quality improvements and hallucination reduction, which support downstream AI training and evaluation workflows. Implemented semantic chunking and metadata filtering to enhance how training/evaluation corpora are retrieved and used by the model. Designed an MCP tool interface backed by internal APIs, enabling structured LLM function calls during model interaction and dataset generation pipelines. • Designed a stateless multi-tenant MCP server exposing LLM-callable tools • Implemented token-based authentication integrating internal APIs • Built serverless monitoring for third-party API quotas with real-time alerting • Optimized RAG pipeline via semantic chunking and metadata filtering (25% retrieval accuracy improvement)

2025 - Present

Education

Work History