Ranjithragavan Mahalingam | AI Engineer & Technology Lead

Core Competencies & Technical Skills

Agentic AI & Orchestration

Building autonomous agents, tool calling, state persistence, and memory management.

LangGraph LangChain CrewAI Google ADK MCP Servers

RAG & Vector Engineering

Advanced RAG (Multi-Hop, Hybrid Search), chunking strategies, and semantic search.

Chroma Qdrant Pinecone Transformer Embeddings

Backend & Cloud Engineering

Microservices, serverless architecture, and enterprise cloud agent platforms.

Python & FastAPI Asyncio Gemini Enterprise Agent Platform AWS Bedrock AgentCore Docker & K8s CI/CD

Observability & Evaluation

Comprehensive LLM observability, agent tracing, and performance monitoring.

Datadog LLM Observability Agent Tracing

Mainframe & Legacy Integration

Enterprise system modernization and legacy integration.

IBM Mainframe COBOL & PL/I JCL & REXX CICS DB2 & IMS DB Oracle SQL

Professional Experience: Infosys, Chennai, India

April 2024 — Present

Technology Lead

Develop and deploy enterprise multi-agent systems and Agentic workflows (LangGraph, CrewAI, MCP servers) to production using Gemini Enterprise Agent Platform and Amazon Bedrock AgentCore, automating complex ITOps workflows and utilizing Datadog for comprehensive LLM observability.
Engineer Advanced RAG systems (incorporating Multi-Hop and Hybrid Search) to securely integrate unstructured enterprise data, significantly improving retrieval accuracy and optimizing vector database (Chroma, Qdrant, Pinecone) query performance.
Drive enterprise prompt engineering strategies (ReAct, Chain-of-Thought) and implement secure production pipelines defended against prompt injection vulnerabilities.

April 2022 — March 2024

Technology Analyst

Engineered foundational Retrieval-Augmented Generation (RAG) pipelines, implementing efficient data chunking and utilizing Qdrant and Chroma for semantic search capabilities.
Transitioned core enterprise workflows from legacy mainframes to scalable backend services utilizing Advanced Python (FastAPI, Asyncio, Decorators).
Developed high-performance REST APIs to bridge modern frontend systems with deeply integrated Oracle SQL databases, actively supporting CI/CD staging and Docker-based deployments.

March 2019 — March 2022

Senior System Engineer (Progressed from Trainee)

Engineered and optimized mission-critical Mainframe applications (COBOL, PL/I, JCL, CICS) managing high-volume batch processing and real-time online transactions within deeply integrated enterprise environments.
Integrated complex backend logic with enterprise databases (DB2, IMS DB, Oracle) to deliver robust, real-time features directly into production via weekly Agile sprints.
Automated heavy batch workflows and designed data anomaly alert systems utilizing REXX, and JCL, significantly enhancing operational reliability and reducing system downtime.

Education, Certifications & Publications

Education

B.Tech in Biotechnology

PSG College of Technology (2014 - 2018)

Certifications & Awards

Google Cloud certified Generative AI Leader
Machine Learning Specialization — DeepLearning.AI & Stanford University
Deep Learning Certification — NPTEL
Infosys Certified Applied Generative AI Professional
Kanban In Practice
Award: ADM Unit Rise Award for the "Business Ninja"

RESEARCH PUBLICATION

Increasing productivity of Spirulina platensis in photobioreactors using artificial neural network modeling

Co-authored and published biotechnology research leveraging predictive neural network modeling techniques to optimize biological scale-up configurations.