Generative AI & Voice Agents
LLM workflows, function calling and MCP, plus real-time conversational systems with sub-second latency — STT → LLM → TTS on Gemini, OpenAI, Claude, Deepgram, ElevenLabs and Sarvam AI.
I'm Gandhamathan — an AI Application Engineer building generative AI products, real-time voice agents and the cloud infrastructure that keeps them fast, secure and cost-efficient.
Start a conversationLLM workflows, function calling and MCP, plus real-time conversational systems with sub-second latency — STT → LLM → TTS on Gemini, OpenAI, Claude, Deepgram, ElevenLabs and Sarvam AI.
AWS and GCP architecture: ECS, VPC, load balancing, CloudFormation, CI/CD with CodePipeline and GitHub Actions — observed with Prometheus and Grafana.
FastAPI, Node and Go backends with React, Next.js and Qwik frontends. Fast APIs, caching, async processing and interfaces that load in milliseconds.
( Selected work )
A real-time conversational interviewer with sub-second latency. An end-to-end STT → LLM → TTS pipeline across Gemini, ElevenLabs and Sarvam AI, engineered as a fault-tolerant multi-service architecture that handles concurrent sessions and streams audio with high availability.
A browser-based Linux terminal backed by containerised Docker environments. Architected scalable AWS infrastructure with load balancing and VPC network isolation, and automated provisioning with CloudFormation to cut manual setup effort.
A horizontally scalable Jitsi deployment with load balancing and auto-scaling, wrapped in monitoring and alerting so reliability problems surface before users feel them.
Secure VPN infrastructure with authentication and encrypted communication, built for high availability through monitoring and redundancy.
Part of the team that rebuilt a high-traffic, content-heavy learning platform on Qwik — resumable, performance-first rendering for instant interactivity, better crawlability and zero layout shift.
Visit site ↗( More projects & open source )
Scene detection and frame/segment extraction feeding an OpenAI-powered analysis service, containerised with Docker.
↗ React · Node · MongoDBManages On-Duty requests, events and Student Activity Points for engineering students. A team project, Jul 2022 – present.
↗ Python · Speech recognitionVoice-driven form filling for visually challenged users — winner of the “Best Idea” award at ACEM, 2022.
↗ Vue · Node · MySQLRoom-booking system for hostel students.
↗ Computer visionMark attendance from a single group photo by verifying each student's face.
↗ Playwright · GitHub ActionsScheduled browser automation running on GitHub Actions with secrets-managed credentials.
↗ React · DockerReact application packaged with Docker and Docker Compose.
↗( Experience )
( Awards & recognition )

Certificate of Excellence for software development, innovation and impactful solution delivery across AI engineering, Generative AI, cloud, DevOps and CI/CD automation (Oct 2025 – Mar 2026).

For exceptional commitment to GUVI's vision, mission and values, Jan – Mar 2024.

Outstanding contributions toward GUVI reaching 100,000 YouTube subscribers.
A voice recognition system for the visually challenged to fill and register forms using a speech recognizer. Kongu Engineering College.
( Certifications )
( Toolbox )
Google Gemini · OpenAI · Claude · Deepgram · ElevenLabs · Sarvam AI · Prompt engineering · LLM workflows · AI voice agents · AI evaluation · Function calling · MCP
Python · JavaScript · TypeScript · Golang · PHP
FastAPI · Flask · Django · Node.js · Express · REST APIs · WebSockets
React · Next.js · Qwik · Vite · Webpack · React Native
AWS (EC2, ECS, ECR, S3, Lambda, IAM, VPC, ALB, CloudFormation, SES, SNS) · Google Cloud Platform
Docker · GitHub Actions · CodePipeline · CodeBuild · CodeDeploy · Linux · Nginx · Grafana · Prometheus · IaC · CI/CD
MySQL · MongoDB · Redis
AI platform engineering · Cloud-native architecture · Distributed systems · LLMOps · Observability · System design · Performance optimisation
( About me )
I'm a Software Engineer at HCL GUVI with 3+ years of experience designing scalable AI-powered, cloud-native platforms using Python, FastAPI, React, AWS and Docker. I've shipped production generative AI features, real-time voice systems and the CI/CD, observability and security that sit underneath them.
I debug distributed systems for fun, mentor teammates, and keep a strong footing in data structures and algorithms. I've also volunteered as a mock-interview panelist for students at the Maatram Foundation, and run a backend (PHP & MySQL) workshop for ~35 juniors.
Kongu Engineering College · 2020 – 2024 · 82%
( FAQ )
Gandhamathan V is an AI Application Engineer and Software Engineer at HCL GUVI in Chennai, India, with 3+ years of experience building generative AI products, real-time voice AI systems and cloud-native platforms on AWS and Google Cloud.
Three areas: generative AI applications and LLM workflows (Gemini, OpenAI, Claude, function calling, MCP); real-time voice agents with sub-second latency (LiveKit, STT → LLM → TTS); and AI platform engineering on AWS and GCP, including Docker, CI/CD and observability with Prometheus and Grafana.
He is Google Cloud Certified as a Professional Cloud Architect, Associate Cloud Engineer and Generative AI Leader, and also holds credentials in AWS ECS, AWS software development practices, Docker Compose and Redis for JavaScript.
The Innovation Catalyst Award from HCL GUVI (June 2026), Exceptional Individual Contributor (March 2024) and the Special Category Award (August 2023) from GUVI Geek Networks, and the Best Idea award at ACEM (April 2022).
Python, JavaScript, TypeScript, Go and PHP; FastAPI, Flask, Django and Node.js; React, Next.js and Qwik; AWS and Google Cloud; Docker, GitHub Actions and CloudFormation; MySQL, MongoDB and Redis.
He holds a B.E. in Computer Science Engineering from Kongu Engineering College (2020–2024) with a score of 82%.
Email [email protected] or message him on LinkedIn (linkedin.com/in/gandhamathanv). He is open to new opportunities on-site, hybrid or remote.