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

Gurugram, Haryana, India

Remote

Roorkee, Uttarakhand, India

Navi Mumbai, Maharashtra, India




Bachelor of Technology - BTech, Electronics and Communications Engineering
Indian Institute of Technology, Roorkee
Intermediate (Class XII), PCM
Arihant Public School, Kota, Rajasthan
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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.
Gurugram
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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.
Bachelor of Technology - BTech, Electronics and Communications Engineering, Indian Institute of Technology, Roorkee
Intermediate (Class XII), PCM, Arihant Public School, Kota, Rajasthan
github: https://github.com/Abhinav980