SURENDIRAN SELVAM

AI Platform Architect

Building and delivering end-to-end AI platforms with hybrid RAG, scalable AI infrastructure, agentic workflows and multi-agent systems.

Trusted in enterprise-grade AI platforms and live production environments.

10+

Years Engineering

Software & AI

3+

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 Architecture

Architecting enterprise-grade AI platforms from the ground up. Designing scalable backends, distributed services, orchestration layers, cloud-native pipelines, and production observability systems that power mission-critical applications at scale.

RAG & LLM-OPS

Building production RAG systems with hybrid search, semantic indexing, and comprehensive evaluation workflows. Delivering end-to-end LLM-OPS solutions with monitoring, versioning, and optimization for reliable AI responses in production environments.

Multi-Agent Systems

Designing intelligent agentic systems with reasoning graphs, tool-calling workflows, and autonomous multi-agent orchestration. Creating systems that handle complex decision-making, planning, and coordination for enterprise-scale use cases.

Infrastructure & Automation

Engineering robust CI/CD systems, automation frameworks, and platform tooling that enhance reliability and accelerate deployment. Building infrastructure that enables teams to ship faster with confidence and maintain production stability.

Featured Projects

🚀 Multi-Agent Product Intelligence Platform

Production-ready multi-agent AI platform demonstrating enterprise-grade architecture with intelligent orchestration, hybrid search, and scalable infrastructure. Built with end-to-end observability and type-safe AI systems.

OpenAIFastAPILangChainQdrantLangSmithRagasDockerGCP
View Project →

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

AI Platform Architect

Current

Feb 2026 – Present

Constel Global

Senior Engineer

Jan 2024 – Jan 2026

EPAM Systems

Lead Automation Engineer (Automation Platform)

Aug 2021 – Jan 2024

Encora Innovation Labs

Software Engineer (Automation & Platform)

Aug 2019 – 2021

ASG Technologies

Software Engineer

Jun 2018 – Jul 2019

Wipro

Software Engineer

Mar 2018 – May 2018

OASYS Cybernetics

Software Engineer

Jun 2015 – Feb 2018

Finatel Technologies

Certifications

Google Cloud Professional Machine Learning Engineer

Google Cloud

October 2025

Certified Kubernetes Administrator (CKA)

Cloud Native Computing Foundation

September 2025

Microsoft Azure AI Engineer Associate

Microsoft

April 2025

Microsoft Azure Fundamentals

Microsoft

April 2025

About Me

AI Silhouette

I architect and build enterprise AI platforms that solve complex business challenges at scale. With 10+ years of engineering experience, I specialize in designing production-grade AI systems from the ground up — combining deep technical expertise with strategic thinking to deliver solutions that are both innovative and reliable.

My approach centers on clean architecture, scalable infrastructure, and production-first design. I've led the development of multi-agent AI systems, hybrid RAG platforms, and observability frameworks that power real-world applications serving thousands of users.

Beyond code, I focus on the entire lifecycle: architecture design, implementation, deployment, monitoring, and continuous optimization. I believe great AI systems are built on solid engineering foundations — proper observability, robust error handling, and thoughtful design patterns that enable teams to iterate quickly and deploy with confidence.

Connect

Let's Build Something Great Together

Interested in discussing AI architecture, production systems, or technical consulting? Let's explore how we can collaborate on your next AI initiative.

© 2026 Surendiran Selvam. All rights reserved.

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