Ranganathan J

Shipped two production-grade AI agent frameworks (Test Management and Compliance Audit) as a solo contributor in 13 months. Earned a client-issued Spot Award for zero production downtime. Promoted to Junior Team Lead, leading 10 engineers in web scraping and QA automation.

Stack: Python, FastAPI, LangChain, LangGraph, Groq, RAG, PostgreSQL, Redis, Docker.

Junior Team Leader at Mahendra Next Wealth Pvt Ltd (2026-04 – Present)

• Led two client teams (10 engineers) in Python scraping and QA automation, managing weekly sprints and owning cross-team delivery.
• Architected and deployed a two-agent compliance audit system (LangChain + Groq + Docker) — generates ISO 27001-mapped questions from regulatory PDFs; scores evidence submissions 0–10 with structured JSON verdicts. Adopted by 15 compliance staff in production.

Software Engineer at Mahendra Next Wealth Pvt Ltd (2024-12 – 2026-04)

• Designed and deployed an AI Test Management Agent (LangChain + Groq) — accepts PDF, Excel, and tabular input; generates deduplicated test questions with structured output validation and a similarity-check layer. Adopted by a 20-person QA team.
• Owned CI/CD release coordination with SRE — authored rollback runbooks, scheduled deployment windows, and achieved zero-downtime rollouts across all engineering team releases via GitLab CI/CD.
• Built Python ETL pipelines, reducing data-quality and parsing failures by ~30% across 25+ international sources.
• Led a zero-data-loss SQLite → PostgreSQL migration across 3 environments.
• Received a client Spot Award for critical US regulatory tariff updates with zero downtime.

B.Tech in Computer Science – Kalasalingam Academy of Research and Education (2020-08 – 2024-05)