Jan 2025 – Present · 1 yr 4 mos

• Innovative and results-driven software engineer with over five years of experience in designing and optimizing large-scale distributed systems. As Vice President at Goldman Sachs, I lead the Data Reconciliation Engineering team, architecting and managing a high-performance platform that processes over 3 billion records daily, ensuring data integrity across 1,900+ reconciliations. Passionate about building scalable, event-driven architectures, reducing operational complexity, and improving system efficiency.
• Previously, I contributed to modernising enterprise-wide transaction booking systems, eliminating legacy monolithic deployments to reduce infrastructure costs and improve maintainability. I have a strong foundation in high-throughput real-time processing, leveraging Apache Kafka, Spring Boot, Flink, and DB2. My background also includes machine learning applications, such as leveraging computer vision for automated asset valuation.

Nov 2020 – Present · 5 yrs 6 mos

May 2019 – Oct 2020 · 1 yr 5 mos

• Worked on identifying software-based risks and designed mitigating control infrastructure for algorithmic trading systems.

May 2018 – Jul 2018 · 2 mos · Bengaluru Area, India

• Implemented a framework for efficient checking out and building of code repositories and running tests
• Manipulated soft links to optimize on the total storage used across different users and proposed the use of
• File System over Database for storage to mitigate large record sizes and to ease the data migration process
• Used React.JS front-end framework by Facebook to expose a responsive interface to the end user
• Used Node.JS back-end framework for exposing APIs to handle the common host for storage