Jul 2024 – Sep 2025 · 1 yr 2 mos · New York, United States

• Recognized with Engineering Excellence Award for high-impact contributions.
• Building the best research platform for our fundamental equity traders, combining AI workflows, market data, scalable services, and cloud infrastructure to deliver actionable insights and identify opportunities at scale.
• Leading development of cloud-native research products critical to the investor workflow, used across multiple businesses and trading teams.

Jan 2024 – May 2024 · 4 mos · New York, United States

• CSCI-GA.3033-085 Cloud and Machine Learning - Graduate Course
• Instructors: Prof. I-Hsin Chung and Prof. Hao Yu

Jun 2023 – Aug 2023 · 2 mos · New York, United States

• Built the firm’s first AI-integrated product, whose success laid the groundwork for future AI initiatives and directly led to the formation of a dedicated AI team within the Equities division.
• Engineered a proof-of-concept for data retrieval, delivering a 10x latency improvement that significantly optimized performance enabling faster data delivery and enhancing the responsiveness of investor-facing applications.

Feb 2021 – Feb 2022 · 1 yr

• Recognized among top global performers and awarded a one-year accelerated promotion to Associate.
• Developed sustainability-focused portfolio analytics tools adopted by institutional clients and hedge funds. Carbon Analytics product was featured in official press release.
• Built portfolio risk tools using factor risk models, providing deeper insights into risk exposures and their underlying drivers; and attribution analysis for portfolio performance.
• Contributed to new revenue generation through client adoption.
• Improved the reliability and performance of critical analytical services ensuring high-availability product to clients.

Jun 2018 – Jan 2021 · 2 yrs 7 mos

• Contributed to the development of a unified risk engine initiative across different divisions, significantly reducing compute costs for all market risk models.
• Built Commodity risk models through the Sensitivity Based Approach (SBA) under Fundamental Review of the Trading Book (FRTB) regulations.
• Built Interest Rate Stress Test models for Comprehensive Capital Analysis Review (CCAR), Firm Data Submission Framework (FDSF), and internal Risk Top Sheet reports.

May 2017 – Jul 2017 · 2 mos · Bengaluru, Karnataka, India

• - Improved EM algorithm convergence for Gaussian Mixtures using Anderson Acceleration to backfill timeseries.

May 2016 – Jul 2016 · 2 mos · Bengaluru, Karnataka, India

• Worked on customization technology that enables to place, resize, change laminates and other important features of cabinets of different units using Three.js for 3D modeling of real time interior design.
• Implemented a constraint system which automates the design into user specific rooms based on the type of kitchen and size.

Dec 2015 – Dec 2015 · 0 mo · Mumbai, Maharashtra, India

• - Developed an Android application that visualizes and compares the performance of mutual funds against their benchmarks and company-specific equivalents.