Pulkit Gangwar

Full Stack Engineer with 3+ years building and owning production SaaS systems end to end, specializing in backend development with Node.js, NestJS, and TypeScript. Thrives as an early engineer in fast-paced startups, taking projects from a blank repo to production. Experienced designing REST and GraphQL APIs, integrating third-party external APIs, and running document and relational data layers (MongoDB, PostgreSQL, Redis) on GCP with Docker and CI/CD.

Comfortable shipping React and Next.js frontends when the product needs them. Holds an MSc in Machine Learning & AI.

Full Stack Engineer (Backend-Focused) at PersonalizerAI (2024-01 – Present)

Early-stage AI personalization startup - one of the early engineers

• Owned the backend end to end as an early engineer, designing and shipping core services and a content management platform with NestJS, PayloadCMS, and PostgreSQL from the ground up.
• Designed and built REST and GraphQL APIs and external third-party integrations (including Shopify GraphQL) to reliably sync large data volumes between systems.
• Took initiative on infrastructure: containerized services with Docker and deployed on GCP.
• Modeled data in both document (MongoDB) and relational (PostgreSQL) stores and used Redis for caching, structuring schemas and queries for performance and scalability.
• Wrote automated backend workflows with Bun and Windmill, and shipped Next.js / React frontends whenever the product needed them.
• Drove quality through code reviews, and accelerated delivery using AI dev tools (Cursor, Claude Code, Copilot).

Frontend Developer at Infilimits (2023-01 – 2024-01)

• Integrated GraphQL and REST APIs to render dynamic product catalogs and drive cart and checkout flows for headless e-commerce platforms.
• Built secure authentication and session handling with JWT and protected routing.
• Collaborated closely with the team through requirements gathering and code reviews, communicating proactively across functions.

Frontend Development Intern at Infilimits (2022-07 – 2023-01)

• Built reusable React UI components for a shared design system used across enterprise platforms.
• Set up Storybook to document the component library, smoothing design-to-engineering handoffs.

M.Sc. in Machine Learning & AI – Liverpool John Moores University (2023-01 – 2025-03)

B.C.A. in Computer Science – M.J.P. Rohilkhand University (2019-07 – 2022-07)