Feb 2026 – Present
Machine Learning Engineer — Level 1
O2V Private Limited · Coimbatore, India
  • Architected multi-agent Life Sciences and Clinical Trial platforms comprising 10+ specialized AI agents using RAG, Pinecone, and Chroma, supporting clinical Q&A, protocol analysis, compliance validation, and audit workflows across 1,000+ regulatory and clinical documents.
  • Built a Prior Authorization agentic platform automating EHR extraction, insurance verification, CPT/ICD coding, payer guideline validation, denial prediction, and AI-assisted form completion, reducing manual processing effort across 100+ patient authorization workflows.
  • Engineered an AI-powered Timesheet-Rostering Reconciliation system using OCR, Azure OpenAI, and a multi-stage validation engine, automating reconciliation of 10,000+ workforce records and enabling real-time mismatch detection, overtime calculation, and financial variance reporting.
  • Integrated ELSAI ARMS observability, DynamoDB, S3 connectors, and deployment pipelines on ELSAI Foundry, monitoring millions of LLM tokens while enabling centralized prompt management, auditability, and secure multi-environment releases.
Dec 2024 – Jan 2026
Digital Machine Learning Engineer (Intern → Level 1)
Optisol Business Solutions · Coimbatore, India
  • Architected end-to-end RAG and multi-agent AI platforms using LangGraph, OpenAI, Azure OpenAI, Pinecone, and FastAPI, enabling automated analysis of 1,000+ compliance and proposal documents across enterprise workflows.
  • Developed an MCP-based agent ecosystem by exposing 5+ enterprise services as modular FastMCP tools deployed on Azure Functions, enabling autonomous tool orchestration and enterprise workflow automation.
  • Built intelligent document-processing pipelines leveraging Tesseract OCR, Claude Sonnet 4, bounding-box extraction, and spatial field mapping to automate extraction and population of 500+ complex PDF forms.
  • Engineered dual-LLM workflows for compliance verification, schema validation, proposal evaluation, and generation of structured submission-ready outputs across 100+ regulatory and business documents.
  • Designed strategic bid intelligence solutions utilizing historical knowledge retrieval, web research agents, competitor benchmarking, SWOT analysis, and Go/No-Go decision scoring to support 50+ proposal and bidding assessments.
  • Implemented real-time AI processing using Server-Sent Events (SSE), interactive Plotly analytics, and ELSAI ARMS observability, monitoring millions of LLM tokens across development and production environments.
  • Deployed scalable cloud-native solutions on Microsoft Azure, integrating Azure Blob Storage, JIRA workflows, and human-in-the-loop review systems supporting multiple production deployments and cross-functional teams.
May 2023 – Nov 2023
Software Engineer Intern
Smartail Private Limited · Chennai, India
  • Developed and deployed a responsive Angular-based academic management portal, automating report card generation and supporting academic workflows for 100+ students and faculty users.
  • Built an NLP-powered subjective answer evaluation system using Python, reducing manual grading effort by approximately 80% and improving evaluation consistency for descriptive assessments.
  • Annotated, validated, and preprocessed 5,000+ scanned examination documents to create high-quality datasets for computer vision models focused on automated question number extraction.
  • Collaborated with a cross-functional team to deliver 10+ feature enhancements and bug fixes, contributing across requirement analysis, development, testing, and deployment phases.