Software engineer · AI systems · Backend platforms

I build reliable AI products that survive production.

I'm Govardhan A R, a software engineer at Neurality Health and a CSE student at VIT Chennai. I work across agentic AI, backend architecture, data workflows, and full-stack product engineering.

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GAR

agent.evaluate()

rca.investigate()

pipeline.deploy()

Current focusProduction agentic systems

Based inIndia · Working globally

1.5+ yrsexperience across AI engineering & backend systems

ProductionAI, backend, and data systems shipped

2×IIT hackathon podium finishes

Featured Projects

Systems with real constraints, not demo-only intelligence.

My strongest work sits at the intersection of AI reasoning, robust backend engineering, and thoughtful product design.

AI safety ecosystem

Omnipresence

An ecosystem of interconnected products for women safety and empowerment, combining CCTV-based threat detection, a safety-focused mobile app, and wearable integration.

Winner, Sanrakshan Hackathon at IIT Bombay Techfest 2024.

Agentic interview coach

Niva AI

A multi-agent interview preparation platform that conducts role-specific mock interviews, evaluates answers, and generates personalized feedback and improvement plans.

Designed the end-to-end AI workflow and full-stack product experience for repeatable interview practice.

Document intelligence

RAG Chatbot Q&A

A full-stack document assistant supporting PDF ingestion, semantic retrieval, and context-aware answers with vector search and retrieval-augmented generation.

Built a Dockerized architecture spanning ingestion, embeddings, retrieval, APIs, and a responsive web client.

Offline-first payments

Off-Pay

A payment system designed for unreliable networks using QR pairing, Bluetooth transaction exchange, mutual signatures, local validation, and deferred synchronization.

Explored secure distributed transaction design where connectivity cannot be assumed.

More experiments & builds

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Computer vision · safety

SafeScape

A women-safety product within the Omnipresence ecosystem, combining CCTV-based person detection, gender classification, SOS gesture recognition, and real-time alert workflows.

Shortlisted for SIH 2024 national finals screening.

Multi-agent delivery

EatSage

A food-delivery prototype where customer, restaurant, and valet agents coordinate ordering, acceptance, payment, and delivery workflows.

Runner-up, Fetch.ai Agent Hackathon at IIT Guwahati Techniche 2024.

Experience

From shipping features to owning systems.

I've grown through hands-on responsibility: debugging production, improving performance, and leading complex AI workflows end to end.

Nov 2025 - Present

Remote

Neurality Health

Junior Software Engineer

Building production AI and backend systems for healthcare communication workflows.

Lead engineering for an internal agentic AI platform for autonomous production issue investigation, owning architecture, implementation, evaluation, and integration.
Improve conversational voice agents and LLM-powered workflows through debugging, prompt refinement, workflow optimization, and reliability fixes.
Develop and optimize reporting APIs, PostgreSQL queries, and data workflows, reducing worst-case response times by more than 80%.

Feb 2025 - Nov 2025

Remote

Neurality Health

Software Engineer Intern

Shipped full-stack product features, reporting infrastructure, and LLM-powered conversation intelligence.

Built production pipelines that classify call, chat, and SMS transcripts, extract structured insights, and generate practice-specific tags.
Developed reporting APIs, data-management workflows, inbox features, and dashboard functionality for healthcare operations.
Built the internal administrative platform from scratch across frontend and backend workflows.

Mar 2024 - Jun 2024

Remote

Infosys Springboard

Project Intern

Led a GenAI platform for automating programming-question and educational-document generation.

Integrated Mistral-8x7B for Java question, solution, and UML/class-diagram generation.
Automated question-paper and document-generation workflows to reduce repetitive academic content preparation.

Leadership

Contributing beyond the codebase.

I take on community and organizational responsibility alongside engineering work, from campus technology programs to student-run collectives.

Community · Beta

Microsoft Learn Student Ambassador

Jul 2024-Sep 2025

Campus technology community

Technical Lead

Thanima Literary Club, VIT Chennai

Oct 2025-Apr 2026

Led technical initiatives for the club

Capabilities

A practical stack for building and operating intelligent products.

I use tools as parts of a system: model behavior, software architecture, data quality, observability, and user experience all have to work together.

AI systems

Agentic AIMulti-agent systemsRAGLangChainLangGraphLLM evaluationLangfusePyTorch

Backend & data

PythonDjangoFastAPIREST APIsWebSocketsPostgreSQLpgvectorRedisCelery

Product engineering

TypeScriptJavaScriptReactNext.jsJavaSystem designPerformance engineering

Cloud & delivery

GCPAzureDockerGitHub ActionsLinuxGitProduction observability

About

Curious by default. Accountable by design.

I enjoy taking ambiguous engineering problems and turning them into systems that are understandable, testable, and useful.

At work, that means building production AI workflows and backend platforms while staying close to real failures, user needs, and operational constraints. Outside work, I explore ideas through projects, hackathons, and deep technical learning.

I'm especially interested in agentic AI, developer tooling, distributed workflows, production reliability, and products where AI is a core capability rather than a surface feature.

Education

Vellore Institute of Technology

B.Tech, Computer Science and Engineering · 2023-2027

Winner

Sanrakshan Hackathon

IIT Bombay Techfest 2024

Omnipresence

Runner-up

Fetch.ai Agent Hackathon

IIT Guwahati Techniche 2024

Multi-agent food delivery