About Me

In 2020, I graduated with a B.Tech (Hons.) degree in the Department of Computer Science and Engineering from Indian Institute of Technology (IIT), Kharagpur. Since June 2020, I have been working at D.E.Shaw India Pvt. Ltd., where I have been working at mutiple quantitative and software development projects. The domains of my projects revolve around software development, probability and statistics, machine learning and operating systems. I am particularly interested in exploring systems and networks, specially discovering the way how ML can change the way systems work.

Basic Information
Age:
23
Email:
lovishchopra98@gmail.com
Languages Known:
English, Hindi
Research/Work Experience

June 2020 - Present

D. E. Shaw India Private Limited
Senior Member Technical

Working on a variety of quantitative software development projects, ranging from database management, operating systems, developing live monitors and statistical libraries to developing financial models using machine learning and statistics.
<Confidential Details Omitted>

Domain: Software Engineering, Database Management Systems, Algorithms, Machine Learning, Probability and Statistics, Operating Systems

Jan 2019 - June 2020

Undergraduate Research (B.Tech Project)
Prof. Sandip Chakraborty
PARIMA: Viewport Adaptive 360-Degree Video Streaming

As a part of the project, we developed an end-to-end viewport-adaptive 360-degree video streaming system using state-of-the-art viewport prediction model. This model can predict the future viewport of the user (that is where the user would look next) and send that part of the 360-degree frame at higher quality and rest of it at lower quality. This would improve Quality of Experience (QoE) and reduce bandwidth consumption.
Here are some procedures involved:

  • We exploited video contents in terms of object trajectories derived using a robust spherical object tracking algorithm. Our claim was that the viewport of the user depends upon the trajectory of the prime objects in the video along with the past viewport.
  • We designed a unique augmentation of Passive-Aggressive Regression and ARIMA time-series models for viewport prediction. We implemented the model to be online in nature, adaptive to user preferences dynamically and effective for streaming.
  • We compared the model performance with state-of-the-art baselines and observed an improvement of QoE by over 30%. We proved that our video streaming system is superior than the baselines through a variety of experimentation results.

Domain: Systems, Video Streaming, Image Processing, Machine Learning, Time Series Analysis

May 2019 - July 2019

D. E. Shaw India Private Limited
Software Development Intern

Worked on the development of a financial model for positioning nine DM currencies using most relevant flow market participants. This was followed by development of an automated live monitor for the designed model, useful to analyse the positioning of various currencies.
<Confidential Details Omitted>

Domain: Software Engineering, Algorithms, Probability and Statistics, Machine Learning

May 2018 - July 2018

Industrial Technology Research Institute (ITRI), Taiwan
Research Intern

As a part of this internship, we developed a software using optimised algorithms to automatically extract small clips involving car accidents from youtube videos using algorithmic methods instead of Machine Learning. The mined data was supposed to be used as dataset of car accident video clips for training the autonomous driving model at ITRI.

  • First, we prepared a full-fledged video crawling tool that can scrape videos from youtube based upon the search query and preferred search filters input by the user. We used the developed tool to crawl car accident videos from youtube.
  • Since the dataset specifically requires dashcam videos for training, we then devised algorithms to filter dashcam videos, followed by detecting various objects in the videos.
  • We developed a robust algorithm to detect collisions between cars using the objects detected in 2-dimensional video frames.

Domain: Software Engineering, Algorithms, Web Scraping, Data Mining
Education

2016 - 2020

Bachelor of Technology (Hons.)
Indian Institute of Technology (IIT) Kharagpur

Department of Computer Science and Engineering

CGPA: 9.94 / 10

  • Recipient of Bigyan Sinha Memorial Award: Institute Rank 2 among all B.Tech students of IIT Kharagpur
  • Recipient of Institute Silver Medal: Department Rank 1 among 105 students of the Department of Computer Science and Engineering
  • Recipient of Institute Proficiency in Project Work Award: Best B.Tech Thesis among all graduating students of the Department of Computer Science and Engineering

2016

High School
(Class 12)
New Era Public School (CBSE)

Percentage: 98.8%

  • All India Rank 4 among 1.1 million students
  • 100 / 100 in Computer Science, Physics and Chemistry

Publications
Lovish Chopra

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