As a Quant Developer at Jefferies, I apply my software, data and product analytics skills to the equity electronic trading domain, delivering technology-driven solutions that enhance the performance and user experience of the trading platform.

Experience

AudibleSoftware Engineer

2025 — Now

JefferiesVice President - Algorithm Trading Quant

2023 — 2025

New York City Metropolitan Area

JefferiesAssociate - Algorithm Trading Quant

2020 — 2023

Manhattan, New York, United States

Equity Electronic Trading

University of WashingtonGraduate Research Assistant

2019 — 2021

Worked with Human-Centered Natural Language Processing, a Directed Research Group (DRG) under the guidance of Prof. Cecilia Aragon, Human-Centered Data Science Lab. The research project studies informal learning in online fanfiction communities.

Visual Analytics: Developed dynamic and interactive visualizations using Tableau for authors and their reviews in a distributed mentorship setting of FanFiction.net website based on the 3TB data scrapped from the website. The dashboards highlight trends, summary statistics and synthesize reviews, enabling authors to reflect from the online informal-learning community.

University of WashingtonGraduate Teaching Assistant

2020 — 2020

'INFO 491 - Project Capstone II' course at the UW Information School.

Mentoring final year undergraduate Informatics students with the implementation phase of their Capstone projects.

Conducting sprint reviews, overseeing project schedules and progress, and giving feedback on development techniques such as alternative optimal algorithms and tools, performance metrics, informative and interactive visualizations and user studies.

Education

University of Washington

Master of Science - MS

2018 — 2020

Ahmedabad University

Bachelor of Technology - BTech

2013 — 2017

Zydus School for Excellence

High School

2011 — 2013

Eklavya

2006 — 2010

Experience+13

Education

Master of Science - MS

Bachelor of Technology - BTech

High School

Experience