SURENDIRAN SELVAM
AI Engineer
Lead AI Engineer — Building and delivering end-to-end AI platforms with hybrid RAG, scalable AI infrastructure, agentic workflows and multi agent systems.
10+
Years Engineering
Software & AI
6+
AI Projects
RAG • Agentic AI • Multi Agents • AI Infra
10+
Automation Projects
Infra • Platform • Dev Productivity
5+
Domain Expertise
ERP • BFSI • Health
Logistics • CMS
2+
Cloud Platforms
GCP • Azure
What I Do
AI Platform & Infra
Designed and delivered scalable AI backends, distributed services, orchestration layers, cloud-native pipelines, containerized deployments, and full-stack observability for production workloads
RAG & LLM-OPS
Building and delivering RAG architectures with hybrid search, semantic indexing, reranking, structured outputs, evaluation workflows, and end-to-end monitoring for reliable AI responses
Agentic Systems
Delivered intelligent agents, reasoning graphs, tool-calling workflows, planning systems, and autonomous multi-agent system orchestration for complex decision-making tasks
Automation
Engineering CI/CD systems, automation frameworks, performance pipelines, and platform tooling that improve reliability, speed, and developer efficiency across teams
Featured Projects
Amazon Product RAG Assistant
Production-grade hybrid RAG system with semantic + keyword retrieval, structured outputs, and a full end-to-end AI pipeline for product search and recommendations
Technical Skills
AI & LLM Engineering
- •RAG Pipelines
- •Hybrid Search (Semantic + Keyword)
- •LangChain / LangGraph
- •LangSmith (Observability)
- •Embedding Models
- •Prompt Engineering & Context Design
- •Vector Databases (Qdrant)
- •RAG Evaluation (RAGAS)
- •Generative AI / Foundation Models
- •Agent-to-Agent Protocol (A2A)
- •Model Context Protocol (MCP)
Backend & API Engineering
- •Python
- •Java
- •FastAPI
- •REST / GraphQL
- •Async Architectures & Middleware Systems
- •SQL Databases
Cloud & Infrastructure
- •GCP Vertex AI
- •Microsoft Azure
- •Docker
- •Kubernetes
- •Jenkins
- •Prometheus / Grafana
- •Terraform
- •Linux
- •LLM Serving & Inference (vLLM)
- •ELK Stack (Elasticsearch, Logstash, Kibana)
Automation & Dev productivity
- •CI/CD Automation
- •Selenium
- •Rest Assured
- •Pytest
- •JUnit
- •Github Actions
- •AI-Assisted Development (GitHub Copilot, Cursor)
Experience
Senior Software Engineer
2022 – Present
- • Built enterprise RAG pipelines, hybrid search, and agentic systems for EPAM’s internal AI platform EliteA
- • Developed Agents capable of generating structured test cases using RAG + domain knowledge
- • Integrated Docker, Kubernetes, CI/CD, and observability into production-grade AI workflows
Lead Automation Engineer
2021 – 2023
- • Developed Dockerized API validation workloads deployed on Kubernetes
- • Provisioned namespaces, pods, and infra using Terraform with CI/CD automation
- • Published real-time execution results in ELK for observability and insights
Software Engineer
2019 – 2021 • Transitioned from Wipro to ASG
- • Expanded CI/CD and middleware validation pipelines across Tomcat, WebLogic, WebSphere
- • Introduced containerized execution for multi-server validations
- • Automated readiness, smoke, UI, and API checks for enterprise systems
Software Engineer
2018 – 2019
- • Built CI/CD pipelines for Tomcat, WebLogic, WebSphere environments
- • Dockerized validation suites for consistent multi-environment execution
- • Developed platform readiness, smoke, UI, and API validation checks
Software Engineer
2016 – 2018 • Transitioned from Finatel
- • Built CI/CD pipelines automating build, DB scripts, deployments, and validation
- • Automated Tomcat deployments, SonarQube quality gates, and reporting workflows
- • Developed Selenium-based UI and API checks executed after every build
Software Engineer
2015 – 2016
- • Contributed across development, validation, release workflows, and production support in a startup environment
- • Built and validated internal tools to support rapid product iterations
- • Performed functional, integration and regression testing with focus on stability and reliability
Certifications
Google Cloud Professional Machine Learning Engineer
Google CloudDate issued: October 17, 2025 Expires: October 17, 2027
Certified Kubernetes Administrator (CKA)
Cloud Native Computing FoundationDate of Certification Achievement: 2025-09-13
About Me
I’m an AI Engineer who builds and delivers complete end-to-end platforms for LLMs, AI infra, retrieval systems, and multi-agent workflows. I focus on clean architecture, efficient execution, and production stability — designing AI systems that are fast, reliable, and built to scale
— Surendiran Selvam
AI Engineering • AI Platforms • AI Infra • Multi-Agent Systems
Let’s Build Something Incredible
Reach out for end-to-end AI platforms, scalable AI infrastructure, agent development, or hybrid RAG systems