Panshul Dixit - Software Development Engineer - 2 at Groww, Backend Engineer specializing in Fintech

Panshul Dixit

Software Development Engineer - 2

About Me

I'm a backend engineer focused on designing scalable and reliable systems in the fintech and trading ecosystem. At Groww, I've contributed across payments infrastructure (UPI, BBPS), trading discovery systems, and advance order platforms handling GTT, OCO, and trigger-based execution. My work centers around event-driven architecture, system simplification, latency optimization, and building resilient execution pipelines where correctness matters. I enjoy thinking through distributed systems, failure modes, and clean architectural design. Recently, I started Mostly Works Studio — a small experimental space where I build simple products, explore ideas, and learn by shipping.

Experience

SDE-2

1+ years
Groww
Apr 2025 - Present
Owned back-end systems across Discovery and Advance Orders in Groww's trading stack. • Designed the FnO Screener, unifying fragmented ingestion and discovery flows. • Built and scaled the Advance Order Platform powering GTT, OCO, Bracket & Alert-Triggered Orders. • Re-architectured trigger execution in GTT v2 and executed seamless migration from V1. • Centralized 1.23 Cr+ alerts into a unified trigger system. • Improved event processing efficiency and reduced infra cost by ~35% through Kafka and system optimizations.

SDE-1

1 year 9 months
Groww
Jun 2023 - Mar 2025
Contributed to building and scaling back-end systems across Consumer Payments and FnO trading infrastructure. • Built and launched core systems for the Bill Payments platform, including Billers V2, Subscription & Management System, and Auto-fetch flows. • Designed and implemented JSONata based parameter transformers and contributed to the MR V2 system, improving flexibility in request transformation and integration handling. • Collaborated closely with third-party vendors and cross-functional internal teams to ensure reliable and seamless payment integrations. • Transitioned to the FnO team and migrated aggregation logic to Cloudflare Workers, reducing API latency by 67% and improving edge performance. • Developed real-time Gainers/Losers and Top Traded Contracts services using Redis Z Sets for efficient ranking and low-latency retrieval.

Technologies

GraphQLRedisSpring BootKafkaCloudflare WorkersMySQLCaffeineCloudflare

Education

Bachelor of Technology

Shri G S Institute of Technology & Science

2019 - 2023

Specialized in Electronics and Telecommunications Engineering.

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