Skip to main content
Kavish ShahKS
Open to opportunities

Kavish Shah

@kavishshah

I build AI agents, automations, and full-stack products that solve real workflows.

India
Message

I build AI agents, automations, and full-stack products across client workflows, startup integrations, and live user-facing platforms.

At Neuriq AI, I built full-stack automations and client solutions, most recently an AI voice agent for a US clinic that manages appointment booking, rescheduling, cancellations, and a live CRM.

I've shipped AI agents for SMEs at Vorker.ai and built Playwright automation and end-to-end integration tests at Tsenta. At Bytebell.ai, I built MCP with Neo4j knowledge graphs that reduced cost by 96%, time by 85%, and tool calls by 70% versus raw file-reading.

I also build projects including Kailos, an AI networking agent with 50+ live users, and Aletheia, a 20-agent misinformation detector. My research on interpretable physics reasoning in vision-language models was published on arXiv and featured on HuggingFace Papers.

Experience

Work history, roles, and key accomplishments

Neuriq AI logoNA
Current

Automation & Full Stack Intern

Neuriq AI

Apr 2026 - Present (5 months)

Built full-stack automations and client solutions across multiple engagements, including an AI voice agent for a US clinic handling appointment booking, rescheduling, and cancellations with a paired live CRM.

Bytebell.ai logoBY

TypeScript Developer Intern

Bytebell.ai

Oct 2025 - Feb 2026 (4 months)

Built MCP (Model Context Protocol) with Neo4j knowledge graphs achieving 96% cost reduction, 85% time reduction, and 70% fewer tool calls vs. raw file-reading; restructured MongoDB schema reducing storage by 45%.

Apt (Tusta) logoAT

AI Agent & Backend Developer Intern

Apt (Tusta)

Aug 2025 - Oct 2025 (2 months)

Eliminated redundant concurrent API calls achieving 43% faster response time across 550 test cases; deployed serverless Python backend on AWS Lambda with CI/CD pipelines.

SimPPL logoSI

Research Engineering Intern

SimPPL

Apr 2025 - Aug 2025 (4 months)

Built asynchronous FastAPI backend and Next.js frontend for Arbiter, an AI-powered social intelligence platform with Dockerized PostgreSQL deployments on AWS (S3, EC2).

Education

Degrees, certifications, and relevant coursework

SE

SVKM’s Dwarkadas J. Sanghvi College of Engineering

B.Tech, Artificial Intelligence & Data Science

Grade: 8.76/10

Pursuing a B.Tech in Artificial Intelligence & Data Science with a CGPA of 8.76/10, expected to graduate in 2027.

Get matched with your dream remote job

Sign up now and join over 250,000+ remote workers who receive personalized job alerts, curated job matches, and more for free!

Sign up
Himalayas profile for an example user named Frankie Sullivan