Akshat Valani

Looking for a job

Talent

AhmedabadMember since September 4, 2026

ReactNext.jsTypeScriptReduxNode.jsExpress.jsNestJSREST API designWebSocketsSocket.ioDockerGitHub ActionsAWSVercelModalGitzero-downtime deploymentsdata-model designmicroservicesdistributed-systems fundamentalsscalable service architecturePostgreSQLMongoDBMySQLpgvectorRedisPrisma ORMGeminiGroqOpenAI APIs

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ReactNext.jsTypeScriptReduxNode.js

About

Full-stack engineer (B.Tech CS, 2026) with deep, hands-on mastery of the JavaScript/TypeScript ecosystem — React, Next.js, and Node.js — built across two startups where ambiguity was the default and shipping was the job. Comfortable making decisions with incomplete information, iterating quickly, and owning outcomes end-to-end, from API and data-model design through production deployment. Founding-engineer experience at an early-stage startup, strong CI/CD and DevOps fluency (Docker, GitHub Actions, AWS), and an active open-source GitHub presence.

Detail-oriented, fast-moving, and energized by architectural decisions as much as implementation.

Experience

Founding Full-Stack Engineer Intern at Ed3hub (2025-06 – 2025-12)

Founding engineer on a live EdTech platform built on React/Next.js and Node.js — made fast product and architecture calls with incomplete specs and shipped 20+ full-stack features (Node.js APIs, MongoDB pipelines, auth/service integrations) with full ownership.

Built analytics and reporting services from the ground up, working independently from ambiguous requirements through to production-ready, maintainable TypeScript/JavaScript systems.
Owned CI/CD pipelines and deployment infrastructure end-to-end (GitHub Actions, Docker), shipping repeatedly to production with zero-downtime releases — direct DevOps ownership from day one as a founding engineer.
Debugged and resolved 50+ production issues independently, sustaining a fast, ship-often culture typical of an early-stage startup.

AI / Full-Stack Engineer Intern at Cognitox Labs (2026-01 – 2026-03)

Designed and shipped a production RAG product end-to-end in TypeScript — Node.js API layer, document ingestion, chunking, embedding pipeline, and a React/Next.js chat client — owning the system from architecture to deployment.

Built a scalable multi-provider LLM orchestration service (Gemini, Groq) for prompting, streaming, and structured output, operating reliably under 100s of concurrent users in production.
Owned AI feature development end-to-end — chat, document QA, summarization — translating ambiguous product ideas into working systems and iterating quickly on real usage data.