Thangaraj S | AI/ML Engineer

Full Technical Stack

ML & AI

NumPy Pandas Matplotlib Scikit-learn TensorFlow PyTorch RAG Fine Tuning Prompt Engineering AI Agents Hybrid Search Agent Orchestration MCP Servers A2A Protocol LangChain FAISS

Programming

Python C#.NET VB.NET Java

Microservices

REST APIs gRPC Protocol Buffers FastAPI Uvicorn (ASGI) AsyncIO

Data & DB

SQL PL/SQL ETL Stored Procedures Trigger Index

Tools

Git/GitHub Azure DevOps Postman API Jupyter Microsoft Foundry

Professional Experience

Tata Consultancy Services Ltd (TCS)

Developer & Data Analyst & Business Technology Analyst @India | June 2024 — Present

Designed and developed enterprise application modules using VB.NET and Oracle (PL/SQL) for backend processing.
Developed and optimized stored procedures to improve query performance and ensure efficient data processing.
Conducted production data analysis to identify inconsistent and unused data, improving overall data accuracy.
Performed root cause analysis on critical data discrepancies and presented findings to business stakeholders.
Automated client and insurer statement generation, ensuring timely distribution and maintaining 100% data integrity.
Collaborated with cross-functional teams to support business reporting, analytics requirements, and system enhancements.
Monitored and maintained scheduled ETL jobs and packages, optimizing data extraction, transformation, and load workflows across staging environments to guarantee high data availability and pipeline reliability.
Analyzed core accounting workflows across Accounts Receivable (AR), Accounts Payable (AP), and General Ledger (GL) to reconcile cash flow discrepancies and align financial business logic with enterprise backend systems.

Achievements

Best Team Award (Twice) - Recognized for contributions toward data quality improvement and enterprise application enhancements.

On-the-Spot Award - Resolved critical production data discrepancies through detailed data analysis and stakeholder collaboration.

Education

B.E. Computer Science & Engineering

Annai Mira College of Engineering and Technology

Black Brix

Project Intern @Chennai | October 2023

Authored and formatted end-to-end Detailed Project Reports (DPR) and Detailed Feasibility Reports (DFR) using Microsoft Word and Excel to evaluate project viability, scope, and resource allocation.
Analyzed large operational and market datasets in Microsoft Excel (PivotTables, Advanced Formulas) to identify key performance trends and support evidence-based recommendations.
Applied critical thinking to assess technical, financial, and operational risks across feasibility frameworks, helping leadership make informed project decisions.
Synthesized complex findings into executive-ready Microsoft PowerPoint decks and documentation for senior stakeholders and cross-functional teams.

Projects

High-Concurrency AI Task Ingestion Mesh

Independent Project | August 2026

Engineered a dual-protocol distributed microservices architecture (FastAPI Gateway & Processor) to benchmark high-load asynchronous ingestion pipelines for AI workloads.
Implemented binary serialization using Protocol Buffers and grpc.aio, comparing performance head-to-head against a REST/JSON implementation with Pydantic validation and HTTPX.
Executed stress testing under 500 concurrent connections, resolving connection pool starvation and socket saturation to achieve 2x higher throughput (195.5 vs. 97.2 req/s) and a 57% latency reduction (1.37s vs. 3.16s) via HTTP/2 multiplexing.

Python FastAPI Uvicorn (ASGI) AsyncIO Protocol Buffers REST APIs gRPC Microservices Architecture

Enterprise Annual Report Intelligence Assistant (EARIA)

Independent Project @TCS | August 2026

Developed an end-to-end Retrieval-Augmented Generation (RAG) pipeline to query 1000+ page enterprise annual reports using natural language, drastically cutting manual research time for stakeholders.
Implemented document parsing and chunking via PyPDF and LangChain, generating vector embeddings with nomic-embed-text stored in a FAISS vector index for low-latency similarity retrieval.
Integrated local Llama 3.2 inference via Ollama with contextual prompt pipelines to deliver accurate, hallucination-free answers grounded in report financials, strategy, and risk factors.

Python Retrieval-Augmented Generation (RAG) Prompt Engineering LangChain Ollama (Llama 3.2) FAISS OllamaEmbeddings nomic-embed-text

Estimate the Crop Yield using Data Analytics

ICT Academy - IBM Skills Network | March 2023

Developed a data-driven predictive model to estimate crop yield using historical agricultural datasets.
Performed data cleaning, transformation, and exploratory data analysis using Python.
Implemented feature selection techniques to improve model accuracy.
Built predictive logic capable of estimating yield outcomes from multiple environmental input parameters.

Python Data Analytics Predictive Modeling Feature Selection

Certifications

Claude Certified Developer - Foundations

Anthropic | September 2026

Demonstrated expertise in building, integrating, and deploying production LLM applications and autonomous agents using the Claude API, Claude Code, custom tool integrations, and Model Context Protocol (MCP) servers.

Agent development Application Security Claude API integration Context engineering Eval & debugging MCP Server Development Model Optimization Prompt Engineering

MS Azure AI Fundamentals (AI-900)

Udemy Certified | July 2025

Demonstrated foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and their related Microsoft Azure services.

Azure Cloud Microsoft Foundry ML & DL Foundation AI Solutions NLP Computer Vision Training ML Models

Networking Basics

Cisco | May 2024

Covered fundamental networking concepts including IP addressing, transport/application protocols, network media, and simulated home/enterprise topologies across 13 Cisco Packet Tracer labs.

Application Layer Services IPv4 Addresses Network Types Network Media Protocols Standards Wireless Access