Sajid T.

Key Skills

Software

Other

Top Subject Matter

Customer support AI

retrieval-augmented generation (RAG)

knowledge base question answering

Top Data Types

Text

Image

Document

Top Task Types

Question Answering

Classification

Text Generation

Text Summarization

Computer Programming/Coding

Freelancer Overview

Automation Intern – Global Support (AI support chatbot, MCP servers, hybrid GraphRAG retrieval) at AppZen. Brings 2+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include AWS Bedrock and Other. Education includes Bachelor of Technology, Ajeenkya DY Patil School of Engineering (2022) and Bachelor of Technology (Minor in Robotics), Ajeenkya DY Patil School of Engineering (2022). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Question Answering and Classification.

Labeling Experience

Automation Intern – Global Support (AI support chatbot, MCP servers, hybrid GraphRAG retrieval) at AppZen

TextQuestion Answering

Developed and deployed a production AI support chatbot using hybrid GraphRAG retrieval to answer user questions with citations from an internal knowledge base. • Built a fused retriever using FAISS vectors, BM25 keyword search, and NetworkX graph BFS combined with Reciprocal Rank Fusion over 150+ KB articles. • Implemented SSE token streaming and prompt caching to improve latency and reduce token costs. • Created two Zendesk MCP servers to transform and route ticket and Help Center content into formats usable by the assistant tools. • Evaluated the chatbot on a 219-pair real-ticket benchmark, improving cited-answer rate from 28.4% toward ≤15%.

2026 - Present

AIML Intern – Engineering Change Management at Tata Motors Limited (AI BOM comparator and related automation)

OtherClassification

Designed an AI-powered BOM Comparator to automatically determine equivalence/comparison results between BOMs with high accuracy. • Developed and patented the SAMIKSHA comparator, validated to 100% accuracy across 20+ vehicle configurations. • Engineered an optimized tree-traversal approach to reduce computational operations for efficient BOM pair comparison. • Deployed a scalable FastAPI architecture on Azure for automation and internal tool support. • Built additional automation tools to restructure BOMs and generate costing reports for engineering change management workflows.

2025 - 2026

Education

Work History