Headline

Software Engineer @ Goldman Sachs | Backend & Distributed Systems with End-to-End Ownership | Java · Python · C++ · React · Node.js | High-scale data pipelines & latency optimization

About

I'm a Software Engineer at Goldman Sachs who builds backend systems that scale and stay fast real-time data pipelines processing millions of operations a day, high-throughput batch systems, and the architecture and query optimizations that keep them efficient under load. At Goldman Sachs, I designed a real-time data pipeline handling 5M+ operational metrics daily and a batch reporting system generating 1M+ reports per day, while cutting transaction processing latency by 28x through backend and query optimization. I also led the migration of 100+ legacy on-prem workloads to the cloud, reducing infrastructure cost by 30% and improving reliability by 25%. My core strength is distributed systems, system design, and backend performance - building services where correctness, scale, and latency all matter at once. My core stack is Java, Python, Go, and Node.js, with hands-on experience across distributed systems, cloud infrastructure, event-driven architecture (Kafka), observability, and system design. I care about clean, well-tested, maintainable code and about owning problems from design through production. I also work across the full stack. From a Frontend Developer role at Gamezop through full-feature delivery at GEP Worldwide, I've shipped production UIs in React, Next.js, and Angular - so I can own a feature end-to-end, from data model to interface, and I bring a product sensibility that pure-infrastructure engineers often lack. I hold a BTech in Computer Engineering from Thapar University, and I'm always interested in connecting with engineers and teams working on hard backend and distributed-systems problems.

Location

Bengaluru

AI stack

claude code

claude

cursor

github copilot

lovable

n8n

Work experience

Software Engineer at Goldman Sachs, Nov 2025 - Present · 10 mos, Bengaluru, • Designed and built a real-time data pipeline on Kafka processing 5M+ operational metrics daily, improving observability across internal systems. • Built a high-throughput batch reporting system generating 1M+ reports per day, optimizing for reduced database load and improved efficiency. • Reduced transaction processing latency 28x through backend and query optimization[, including [query/index tuning · caching · async processing]]. • Led the migration of 100+ legacy on-prem workloads to AWS, cutting infrastructure cost 30% while improving reliability and performance 25%.

Software Engineer at Goldman Sachs, Jun 2025 - Oct 2025 · 5 mos, Hyderabad

Software Engineer at GEP Worldwide, Jul 2023 - Jun 2025 · 2 yrs, Mumbai, • Led development of complex features — strategy recommendations, supplier recommendations, and category mapping — consistently delivering ahead of schedule. • Integrated Kafka for real-time event analysis, enabling seamless client-wide data distribution. • Built GenAI-powered automation, including Selenium script generation and automated PPT creation from ICM documents. • Owned and maintained the full Cypress UI automation framework, improving testing efficiency and coverage. • Delivered multiple projects independently while mentoring peers.

Software Engineer at GEP Worldwide, Jan 2023 - Jul 2023 · 6 mo, Mumbai, Maharashtra, India

Frontend Developer at Gamezop, Apr 2022 - Jan 2023 · 9 mo, Gurugram, Haryana, India

Education

Bachelor of Technology - BTech, Computer Engineering, Thapar Institute of Engineering & Technology

Public links

github: https://github.com/GreatGabbar

leetcode: https://leetcode.com/GreatGabbar