Backend Engineer at CRED

Building payment
systems at scale.

I engineer high-throughput, fault-tolerant payment microservices powering UPI, Cards, BNPL, and Wallet flows at CRED. I care about reliability, clean system design, and shipping things that work.

Anmol Tomer
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Work Experience

CRED
Bengaluru, India
Sep 2021 — Present
Backend Engineer — Payments Platform
June 2023 — Present
  • Spearheaded in-house VPA creation via Axis UPI APIs, reducing merchant VPA TAT from 14 days to real-time by eliminating manual ops and banking handoffs.
  • Designed and built automated merchant onboarding workflows using AWS Step Functions and SQS, cutting integration TAT from 4–5 days to 2 hours and Shopify/Gokwik onboarding from 2 days to 5 minutes.
  • Implemented regulatory-compliant KYC verification pipelines using Karza APIs, ensuring accurate identity validation and adherence to payment compliance requirements.
  • Engineered large-scale, low-latency payment microservices powering UPI Autopay, Cards, BNPL, Wallet Loading, Mutual Funds, and Checkout flows across CRED.
  • Built fault-tolerant distributed workflows using Java + Spring Boot, SQS/Kafka, idempotent processors, DLQs, and event-driven orchestration for high-volume payment traffic.
  • Integrated HDFC UPI stack into core Credit Card Bill Payments flow, resulting in 50L+ monthly cost savings and a 3% improvement in payment success rates over existing UPI rails.
  • Owned backend systems end-to-end: system design, API contracts, provider integrations, microservice development, production rollouts, monitoring, on-call operations, and incident debugging.
Product & Partner Engineering
Sep 2021 — June 2023
  • Built a self-serve merchant onboarding platform using Swagger-based APIs, significantly reducing dependency on partner onboarding and operations teams.
  • Developed Python automation pipelines on AWS Lambda to streamline payment operations and reduce refund processing turnaround times.
  • Led sales and partner engineering for CRED Pay, enabling integrations across 400+ brands including Zomato, BigBasket, Zepto, and IRCTC.

Technical Skills

Languages
C/C++ (STL) Java Python SQL TypeScript
Frameworks & Libraries
Spring Spring Boot FastAPI Node.js Zod Alembic Pydantic Hibernate Pandas Express.js
Databases
MySQL MongoDB Redis DynamoDB
Architectures
Microservices Event-Driven (Kafka) Distributed Systems Domain-Driven Design
Developer Tools
Git Docker Postman Bash n8n Claude Code
Cloud & DevOps
AWS EC2 S3 SQS Lambda Step Functions Kafka Datadog Jenkins Grafana (Loki)

Things I've Built

Side projects where I explore AI, full-stack development, and system design.

Bloom Learn

Full-stack AI-powered learning system implementing Bloom's Taxonomy using a deterministic, policy-driven state machine. Features a multi-agent orchestration engine (Judge, Feedback, Tutor) with observability-first workflows, token cost intelligence, and multi-provider LLM fallback chains.

FastAPI PydanticAI React TypeScript Langfuse SSE
Verso

Agentic AI-driven backend service using Google Gemini and PydanticAI for unstructured text classification with schema-compliant outputs. Features secure async auth with Clerk, media asset management via GCS signed URLs, and containerized deployment on GCP.

Gemini PydanticAI FastAPI GCS Docker Caddy

Education

B.Tech in Electronics & Computer Science Engineering
Vellore Institute of Technology, Chennai
CGPA: 8.6 / 10.0 2018 — 2022

Interests & Goals

Ironman Training

Training for a future Ironman triathlon. Building endurance one session at a time.

Team Sports

Cricket, badminton, and football. Hala Madrid!

Sports Watching

F1, Tennis, and football when I'm not on the field myself.

Tech Hobbies

Reading tech blogs, Hackernews, and doom-scrolling tech Twitter.