C N Balu Ramesh
I am a Senior Agentic AI Engineer based in Chennai with 16 years of total experience and 5+ years in production GenAI.
About
I am a Senior Agentic AI Engineer based in Chennai with 16 years of total experience and 5+ years in production GenAI. Here is the quick fit:
-> RAG — built Ford Motor Company’s Safety Search RAG pipeline in production (Gemini embeddings + BigQuery vector store)
-> LLMs — OpenAI GPT-4o, Gemini, Claude, LangChain across multiple live engagements
-> Vector Databases — Chroma, Qdrant, BigQuery vector storage
-> Semantic Search & Embeddings — deployed at enterprise scale
-> Agentic AI (nice to have) — Google ADK, LangGraph, multi-agent orchestration; this is my core specialization
-> Azure — Data Lake and Pipelines experience
-> AWS — EC2, S3, Lambda, ECS, SageMaker across 3–4 years of projects (GCP is my primary cloud)
Python is my current primary language (4–5 years serious usage, after 13 years of Java). I want to be upfront about that rather than claim 3-5 years.
I am comfortable with IST evening hours to meet the 5-hour EST overlap requirement, and I am open to a 6-month engagement.
CV attached. Happy to connect at your convenience.
Best,
CN Balu Ramesh
- 18 years' experience
- Joined September 2026
Industry experience
- Computers & Electronics
- Software & Internet
- Financial Services
- Government
- Manufacturing
- Transportation & Logistics
- Professional Services
- Education
More experts in Chennai, India
Work experience· 11 roles
Designed an enterprise-scale GCP AI system using layered BigQuery data models, Vertex AI Pipelines, and Cloud Composer to unify more than seven source systems for Safety.AI and Quality.AI. Built a Vertex AI RAG Studio pipeline with document chunking, Gemini embeddings, BigQuery Vector Search, and PostgreSQL agent memory. Led the migration of a Safety Search assistant from LangGraph to Google ADK and developed ICSF, a six-agent security remediation platform with FastAPI, React, Next.js, MCP tool servers, and AWS Bedrock RAG. Also built a mobile automation testing platform using PocketFlow, Bedrock, FastMCP, Appium, React, and live SSE logs.
Architected an agentic AI chatbot for Finantic's accounts payable platform using LangGraph, GPT-4o-mini, structured outputs, guardrails, voice input, and 17 function-calling tools. Created an online evaluation framework with Prometheus and Grafana for latency, token usage, task completion, and model quality. Reduced LLM costs by 20–40% through NLP preprocessing and token optimization, while implementing JWT/OAuth security, permission scoping, decision logging, audit trails, and a hybrid invoice, purchase order, and goods receipt extraction pipeline.
Led a gRPC and Protobuf migration for NatWest's Global Foreign Exchange Trade Booking System, replacing tightly coupled socket APIs with microservices for spot, forward, swaps, and netting workflows. Built a Claude-powered Maven plugin that generated JUnit 5 tests using prompt engineering and Velocity templates, reducing manual test writing by 80%. Designed Redis Streams event processing, Resilience4j circuit-breaker fallbacks, and single-DC and dual-DC active-passive failover.
Education
Certifications and awards· 5
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