Jun 2023 – Aug 2023 · 2 mos · Chicago, Illinois, United States

• Leveraging machine learning and computer vision techniques to enhance neural synapse detection accuracy in electron microscopic images of brain cells, contributing to the ongoing connectomics research at Kasthuri Lab, UChicago Medicine

Mar 2023 – Jun 2023 · 3 mos · Chicago, Illinois, United States

• Teaching Assistant for MPCS 52060 - Parallel Programming course

Jul 2022 – Sep 2022 · 2 mos

• During my tenure, I successfully designed and implemented options pricing and quoting applications tailored for various exchanges. I also developed a robust risk management library and intuitive portfolio dashboards. Additionally, I was responsible for enhancing and maintaining AlphaGrep's publisher-receiver infrastructure, ensuring the seamless transmission of real-time market data.
• In addition to these core responsibilities, I actively contributed to a wide variety of internal projects focused on tooling and trading optimization. Noteworthy achievements include the creation of a comprehensive post-trade analysis tool, enabling an in-depth examination of missed trade opportunities and their potential PnL impact. I also improved the accuracy of high-frequency trading (HFT) backtesting for a new exchange through meticulous simulation enhancements and optimized network packet size to enhance efficiency in market data transmission.

Jul 2021 – Jun 2022 · 11 mos

Jul 2020 – Jun 2021 · 11 mos

Jul 2019 – Jul 2020 · 1 yr · New Delhi Area, India

• Graduate TA for :
• COL780: Computer Vision Course in Fall 2019
• COL226: Programming Languages Course in Spring 2020

May 2019 – Jul 2019 · 2 mos · Gurgaon, India

• Developed mid-frequency trading strategies for end-of-day portfolio redistribution.
• Alpha currently being used in production for Futures and Options trading on National Stock Exchange listings.
• Experimented with various Machine Learning techniques like Regularization, SVM, AdaBoost Trees, PCA, and Online Regression to improve the company’s HFT alpha combination logic. Achieved a 1.2% correlation increase using 2D binned regression

May 2018 – Jul 2018 · 2 mos · Singapore

• Position: Research Assistant at Hardware and Embedded Systems Lab
• Formulated a model to improve the motion trajectory estimates of autonomous vehicles by incorporating semantic segmentation class information derived from car-mounted stereo RGB video camera feeds. Used C++, OpenCV, libviso2
• Achieved translation error improvement in 6 out of 11 KITTI odometry datasets by incorporating this semantic class weighting logic into the C++ Library for Visual Odometry 2 (VISO2) and Stereo Direct Sparse Odometry (Stereo DSO) models

Sep 2017 – Oct 2017 · 1 mo · Paris Area, France

• Developed and implemented a market expansion plan for the French agro-processing machinery manufacturing firm FEMIA Industrie to grow in the Indian market.
• Worked closely with the Economic Wing at the Indian Embassy in Paris to get strategic information and develop corporate relations.

May 2017 – Jul 2017 · 2 mos · Helsinki Area, Finland

• Position: Research Assistant at Computer Vision Lab, Aalto University.
• Created a large-scale indoor localization dataset having joint ground-truth pose information along with RGB and 3D point cloud data, overcoming the shortfalls of the popular 7-Scenes Dataset by Microsoft. Code and dataset made open-source
• Developed a pose graph optimization pipeline to solve the SLAM problem of loop closures faced while traversing long paths without GPS correction using Google Tango devices
• Co-authored the publication of our findings for ICCV 2017 Conference workshop - GMDL.