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Samrat PatelSP
Looking for a job

Samrat Patel

@samratpatel

I build high-scale fintech backend systems, from payments and lending services to regulatory automation.

India
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What I'm looking for

I'm looking to build and own high-scale backend or full-stack systems, taking products from discovery to production while improving reliability, compliance, and engineering efficiency.

At Updraft, a UK FCA-authorised fintech serving 800k+ users, I own core Python/Django payments and loan-management microservices supporting 1.7M+ transactions and 200K+ accounts. I deliver 0–1 production features at 16–18M+ daily Lambda invocations and built regulatory pipelines that help prevent incorrect loan-book outputs.

I've also built Go APIs for 10+ D2C brands, CI/CD pipelines enabling multiple daily releases, and full-stack React, Next.js, and React Native products. I enjoy taking requirements from discovery through delivery, improving reliability and cost efficiency, and mentoring engineers through practical design and code-review guidance.

Experience

Work history, roles, and key accomplishments

AL

Software Development Engineer

Amigo Softcom LLP

Apr 2022 - Jul 2023 (1 year 3 months)

Built REST APIs in Go integrating Shopify GraphQL and third-party platforms for real-time data sync across 10+ D2C brands. Engineered a JSON-based backend-driven UI rendering system in React.js, reducing frontend development turnaround by 80%.

CE

Software Engineer (Full-Stack)

Creed Essential

Jul 2021 - Mar 2022 (8 months)

Redesigned Firestore schema for a cross-platform React Native app, cutting query latency from 1.3s to 45ms. Led full-stack development of a consumer platform on Next.js and Firebase, shipping SSR, PWA support, and serverless functions.

Education

Degrees, certifications, and relevant coursework

Delhi Technological University logoDU

Delhi Technological University

Bachelor of Technology, Computer Engineering

2018 - 2022

Grade: 8.60/10.0

Pursued a Bachelor of Technology in Computer Engineering, achieving a CGPA of 8.60 out of 10.0.

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