Oct 2024 – Aug 2025 · 10 mos

• Staff Software Engineer in Live AI[Feed]/Live Core Team
• Driving technical goals and metrics for Live Feed team, overseeing a team of 3 engineers responsible for the entire ranking stack for live.
• At peak we have 5k+ inference requests/sec across surfaces, ranking 1k+ candidates per request in under 250ms(P99), scaling to 70M feature fetches/sec.
• Additionally, I served as the acting Tech Lead for Live Notifications for approximately six months. The platform powers ~500M notifications/day

Oct 2022 – Oct 2024 · 2 yrs

• SDE3 in Live AI/ Live Core(Infra) team/Platform team
• I divide my time between the two teams working on core projects around Stream Processing ( Realtime Features Infra, RecSys Infra) and Realtime Communication Frameworks (SSE based push channel scaling to entire DAU) with recent focus being around Recsys Infra in Live team
• I am a hands on Technical Lead(TL) who spends a lot of time writing and reasoning about systems from the basics to help improve our tech metrics(cost, reliability, scaling needs) and have also worked as a TL role on a few projects leading efforts around new initiatives in the team and on onboarding new engineers into projects.
• Tools and Programming Languages :- Go, Java, Javascript, Kafka, Kafka Streams, Flink, Cassandra(ScyllaDB)

Aug 2021 – Oct 2022 · 1 yr 2 mos

• SDE2(Backend) in Platform Team working on Stream Processing and Realtime Communication(RTC) System.
• I love building systems at scale from scratch and have had the most amount of learnings from the same. Our RTC Framework can scale to DAU (4M+ concurrent connections at peak) and Counters Framework runs as at huge scale, processing ~300k+ msgs/sec at peak.
• Tools and Programming Languages :- Go, Java, Javascript, Kafka, Kafka Streams

Jun 2018 – Jul 2021 · 3 yrs 1 mo · Mumbai, Maharashtra, India

• Worked across two teams Equity Derivatives and QR Athena(Centralised Infrastructure Team).
• Tools and Programming Languages :- Python, C++, Typescript(React) etc.
• Equity Derivatives
• Front office-quant working on Algorithmic Indices(Quantitative Investment Strategies). Work involved close interaction with Structuring and Trading across geographies for implementation and risk management of trades.
• Development and maintenance of frameworks in the firm’s core quant. library
• Implemented various strategic infra. projects
• QR Athena
• Evaluating Full-Stack architectures for developing Analytics applications within QR. Work leverages using modern Open-Source Frameworks and Libraries to interface with internal data-models and involves making recommendations for architecture.

May 2017 – Jul 2017 · 2 mos · Powai , Mumbai

• Worked on secondary implementation of algorithmic indices in Python
• Offered a Pre-Placemnet Offer(PPO) based on performance in the internship