Apr 2022 – May 2025 · 3 yrs 1 mo

• My work encompasses research on trading signals, improving order execution and maintenance of a trading framework used across 10+ global exchanges and all major asset classes.

May 2021 – Apr 2022 · 11 mos · Hyderabad, Telangana, India

• Programming Languages - Majorly C++ and Python with some Java (and JNI).
• Part of the Market Data Infra group at DE Shaw.
• My contributions include
• Complete ownership of four crucial proprietary data generation projects, three of which I completed end to end. These datasets are used across the firm for quantitative research and production use cases. They are developed and maintained in a way to provide low latency access. Also created extensible c++ libraries and python packages for realtime generation and future projects.
• Written highly efficient distributed algorithm over inhouse HPC to reduce time taken in querying huge volume of options market data by 85%, without consuming any more resources.
• While maintaining state of the art proprietary database technology, resolved several client tickets with quick turn around time.

Jan 2021 – Jun 2021 · 5 mos

• Helping photographers save time and make more money by selecting their best photos using AI.
• Hiring for Frontend and AI Engineers
• Programming Language -
• Javascript (Angular10 + NodeJS)
• Python, AWS, Google Cloud, Pytorch

Jun 2020 – Jul 2020 · 1 mo

• Led the team to a second place finish at Indian Rover Design Competition among 28 teams from 7 countries.

Aug 2019 – Jun 2020 · 10 mos

• Leading the software team at ARES Robotics, as we bring to life the ATOM Mars Rover. Primarily responsible for implementing Odometry, Localisation and SLAM on the rover. I have also been involved in deep learning related tasks like Obstacle Detection and Marker Classification. The Software subsystems of the team were especially praised by the governing body at URC 2019 with a score of 17 out of 21 in SAR.

Aug 2018 – Jul 2019 · 11 mos

• Primarily worked on SLAM algorithms involving Stereo Vision and Depth Cameras. Also contributed to Obstacle Avoidance task.

Jun 2020 – May 2021 · 11 mos

• Programming Languages - C++, Python, Javascript, Bash
• I worked at the NTU Speech Lab under the guidance of Prof. Chng Eng Siong, on Inverse Text Normalisation to improve Automatic Speech Recognition (ASR) systems.
• During first half of my internship, my contributions involved -
• Creating a rule based stochastic speech data generation algorithm for Air Traffic Control conversations using Finite State Transducers
• Creating a SoTA NER system for Air Traffic Control Natural language datasets.
• Integrating it with a well developed production focused UI.
• During second half of my internship, I worked on Meadow9, a Audio transcription application for iPhones and Android devices. I got sick midway and could not contribute as much as I wanted to.
• I worked on
• Developing backend APIs for user actions, security, etc.
• Some shell scripting with ffmpeg for chunkwise transcription
• Helping other teammates with their research.

Jun 2020 – Aug 2020 · 2 mos

• Working on enabling Point Cloud Object Fitting and Segmentation in OpenCV.

May 2020 – Jun 2020 · 1 mo · India

• Worked as an intern at the Incubation team at Sprinklr. Nothing significant.

Mar 2020 – May 2021 · 1 yr 2 mos

• Worked on problems in Computer Vision and NLP.

May 2019 – Apr 2020 · 11 mos

• Summer research intern at Complex Systems Lab under the mentorship of Dr. Ganesh Bagler at IIIT-D. Working on various projects in an attempt to drive original efforts in the field of Computational Gastronomy pioneered by Dr. Ganesh Bagler.

Jun 2018 – Jan 2019 · 7 mos · Berkeley, California (Telecommute)

• Developed a visualisation client for economic and finance data as well as analysis from several machine learning models. Mainly focusing on UI/UX design, creating modular visualization libraries, managing pipelines for efficient handling of data across networking protocols.

Jun 2018 – Jul 2018 · 1 mo