Abhinav Kumar profile photo 1 on Tal

Abhinav Kumar

Backend Engineer @ Cars24 | Java · Spring Boot · Microservices | Distributed Systems | Expert @Codeforces | IIT Roorkee ’25

Gurugram

1+ year of work experience

CARS24
Oct 202511 mosPresent

Gurugram, Haryana, India

• Designed and shipped fault-tolerant Java/Spring Boot microservices for contextual recommendation (PDI, VHR, Challan) across 3 customer platforms — 60M+ monthly requests, zero production incidents post-rollout. • Architected backend platformization post-acquisition of VehicleInfo and CarInfo: consolidated shared domain logic into multi-tenant Spring Boot services, eliminating duplicate implementations across 3 platforms. • Recommendation services now account for 41.4% of PDI orders, 23.5% of VHR orders, and 4.7% of Challan orders — measured from Feb 2026 onward. • Improved system reliability: reduced p95 latency 30–40% via targeted Redis read-through caching; cut production error rate 28% through systematic root-cause analysis.
Indian Institute of Technology, Roorkee
Jun 20254 mosSep 2025

Remote

• Applied performance engineering to a high-throughput real-time pipeline — reduced critical-path processing latency 65% (35.53μs → 12.52μs) through algorithmic profiling, loop unrolling, and data-flow restructuring across 20+ modules. • Demonstrates low-level performance reasoning transferable to backend throughput optimization and latency-sensitive system design.
Indian Institute of Technology, Roorkee
Aug 20244 mosNov 2024

Roorkee, Uttarakhand, India

Axis Bank
May 20243 mosJul 2024

Navi Mumbai, Maharashtra, India

Built centralized data mart consolidating 100M+ customer records across 3 databases (SAS, Python, SQL) for cross-sell targeting across cards, accounts, and loans.

Abhinav’s AI Stack

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Education

Indian Institute of Technology, Roorkee

Bachelor of Technology - BTech, Electronics and Communications Engineering

Indian Institute of Technology, Roorkee

20214 yrs2025

Intermediate (Class XII), PCM

Arihant Public School, Kota, Rajasthan

20192 yrs2021

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Headline

Backend Engineer @ Cars24 | Java · Spring Boot · Microservices | Distributed Systems | Expert @Codeforces | IIT Roorkee ’25

About

Backend Engineer (Java · Spring Boot · Microservices) at CARS24, building distributed, event-driven systems handling 60M+ monthly requests across 3 customer-facing platforms. At CARS24, I own contextual recommendation services for PDI, VHR, and Challan — journeys I built drive 41.4% of PDI orders and 23.5% of VHR orders. Led backend platformization post-acquisition of VehicleInfo and CarInfo, consolidating shared logic into multi-tenant Spring Boot services across 3 platforms. Performance work: reduced p95 latency 30–40% and cut production error rate 28% via targeted Redis caching. Side project — PayFlow: event-driven payment backend (Java, Spring Boot, Kafka, PostgreSQL, Redis) with transactional outbox, idempotency, double-entry ledger, and row-level locking. Stress-tested to 1,976 req/sec at 35ms p95, 0.00% errors (k6 + Prometheus + Grafana). Stack: Java 17, Spring Boot, Microservices, REST APIs, Kafka, Redis, PostgreSQL, MySQL, MongoDB, Docker, Kubernetes, AWS, JUnit, Mockito, Testcontainers, Prometheus, Grafana. IIT Roorkee ECE '25 · Codeforces Expert 1701. Open to backend and platform engineering roles at product-focused companies.

Location

Gurugram

AI stack

codex

cursor

claudecode

Work experience

SDE 1 at CARS24, Oct 2025 - Present · 11 mos, Gurugram, Haryana, India, • Designed and shipped fault-tolerant Java/Spring Boot microservices for contextual recommendation (PDI, VHR, Challan) across 3 customer platforms — 60M+ monthly requests, zero production incidents post-rollout. • Architected backend platformization post-acquisition of VehicleInfo and CarInfo: consolidated shared domain logic into multi-tenant Spring Boot services, eliminating duplicate implementations across 3 platforms. • Recommendation services now account for 41.4% of PDI orders, 23.5% of VHR orders, and 4.7% of Challan orders — measured from Feb 2026 onward. • Improved system reliability: reduced p95 latency 30–40% via targeted Redis read-through caching; cut production error rate 28% through systematic root-cause analysis.

System Research Intern at Indian Institute of Technology, Roorkee, Jun 2025 - Sep 2025 · 4 mos, Remote, • Applied performance engineering to a high-throughput real-time pipeline — reduced critical-path processing latency 65% (35.53μs → 12.52μs) through algorithmic profiling, loop unrolling, and data-flow restructuring across 20+ modules. • Demonstrates low-level performance reasoning transferable to backend throughput optimization and latency-sensitive system design.

Undergraduate Teaching Assistant at Indian Institute of Technology, Roorkee, Aug 2024 - Nov 2024 · 4 mos, Roorkee, Uttarakhand, India

Business Intelligence Intern at Axis Bank, May 2024 - Jul 2024 · 3 mos, Navi Mumbai, Maharashtra, India, Built centralized data mart consolidating 100M+ customer records across 3 databases (SAS, Python, SQL) for cross-sell targeting across cards, accounts, and loans.

Education

Bachelor of Technology - BTech, Electronics and Communications Engineering, Indian Institute of Technology, Roorkee

Intermediate (Class XII), PCM, Arihant Public School, Kota, Rajasthan

Public links

github: https://github.com/Abhinav980