Looking for a job

Parbhat Kapila

@parbhatkapila

Full-stack product engineer building and scaling SaaS and AI platforms end-to-end with focus on speed, reliability, and impact.

India

Message

What I'm looking for

I’m looking for a full-stack role where I can build reliable, user-focused products with modern web technologies. I enjoy working in small, collaborative teams that value clean architecture, clear communication, and steady product growth.

Full-stack product engineer who’s built and scaled SaaS and AI platforms end-to-end, from RAG pipelines to real users and revenue. I focus on reliability, speed, and cost-efficient design for systems that handle production traffic at scale. I’ve led full-cycle product builds and guided developers on architecture and delivery best practices.

I enjoy working in fast-moving environments with strong ownership, collaborating with founders and small teams to turn ideas into polished, high-impact products. My recent builds reduced processing time by 60% and served 100+ active users with 99.9% uptime.

Stack: Next.js 14+, TypeScript, Node.js, PostgreSQL/pgvector, Redis, LangChain, tRPC, OpenAI/Anthropic/Gemini APIs, AWS/Vercel, Docker, Stripe.

Experience

Work history, roles, and key accomplishments

Current

Full Stack Developer

Current

Independent Consultant

May 2022 - Present (3 years 7 months)

Built and optimized SaaS platforms using Next.js and PostgreSQL, serving 100+ users with 99.9% uptime. Cut latency by 40% and API costs by 60% through caching and vector search. Designed scalable systems with PostgreSQL, Redis, and Prisma, implemented auth, billing, and analytics, and deployed globally on AWS/Vercel with CI/CD. Added RAG-based AI for semantic search.

Next.js TypeScript NodeJS PostgreSQL Redis Prisma AWS Vercel CI CD

Education

Degrees, certifications, and relevant coursework

Lovely Professional University

Bachelor of Technology, Computer Science and Engineering

Bachelor of Technology in Computer Science and Engineering with coursework in data structures, databases, software engineering, machine learning, and cloud computing.