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sahil singhal

@bitsahil

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Senior software developer specializing in scalable backend systems and payroll engineering.

India

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What I'm looking for

I'm seeking backend or distributed-systems roles where I can design scalable, reliable payroll/financial systems, tackle correctness and performance challenges, work with strong engineering teams, and drive measurable product impact.

I'm a Senior Software Developer focused on building scalable, reliable backend systems for payroll and payments. At Rippling I owned US tax calculation migration, reduced unexpected tax mismatches by 95% and implemented bitemporal balance books with cross-book atomic transactions and backfilling frameworks.

Previously at Amazon I led the MRP prompt project that delivered INR 400 million annual savings and P99 latency under 10ms through precomputation and Redis caching. I work primarily with Java and Python and technologies like Apache Arrow, Parquet, DuckDB, PostgreSQL and AWS, and I enjoy solving correctness, latency and consistency challenges at scale.

Experience

Work history, roles, and key accomplishments

Senior Software Developer

Rippling

Jan 2022 - Mar 2024 (2 years 2 months)

Led US payroll migration and owned US tax calculation, adding dynamic configuration and debugging tools that reduced unexpected tax mismatches by 95% of daily computations. Designed and implemented bitemporal ledger features—including backfilling, cross-book atomic transactions and idempotent batch writes—to support US Payments and retroactive payroll corrections within latency SLAs.

Java Distributed Systems PostgreSQL Redis Bitemporal Modeling Payroll Systems

Software Developer

Amazon

Jul 2019 - Oct 2021 (2 years 3 months)

Led design and implementation of an MRP prompting system reducing manual entry errors and delivering INR 400M/year savings, achieving P99 latency <10ms via pre-computation and Redis caching. Implemented Country of Origin display and catalog analysis for business-continuity risk mitigation across platforms under tight timelines.

Java Redis System Design Performance Optimization Caching Pre Computation Data Analysis

SDE Intern

Petasense

Jul 2018 - Jun 2019 (11 months)

Developed vibrational failure detection using a three-sigma baseline to improve Machine Health Indicator accuracy and implemented a data lake to enable sensor data synchronization for customers integrating with OSI PI.

Python Data Science Anomaly Detection Signal Processing Time Series Analysis Data Lake Sensor Data

Education

Degrees, certifications, and relevant coursework

Birla Institute of Technology and Science Pilani

Master of Science; Bachelor of Engineering, Mathematics; Mechanical Engineering

2014 - 2019

Grade: 8.44 (CGPA)

Activities and societies: Trek Lead; Organized astronomy sky-watching sessions for faculty, students, and school students (>500 attendees); Headed lectures and discussion sessions on combinatorics.

Completed a dual-degree program (M.Sc. in Mathematics and B.E. in Mechanical Engineering) at BITS Pilani from Aug 2014 to July 2019, graduating with a CGPA of 8.44.