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Rajat Jaiswal

I am a Computer Science & Engineering graduate from IIT Delhi.

My interests lie in the financial market and the technology that enables the same. I am currently building AlgoTest, with an aim to democratize access to cutting edge research and execution tools for retail traders, at par with the tools used by the top hedge funds and proprietary trading firms.

I’ve always enjoyed mathematics and its application in solving complex and challenging problems. I also have a very keen interest in the field of machine learning.

Curriculum Vitae  /  LinkedIn  /  Github

Work Experience

Co-founder, AlgoTest September 2021 - Present

At AlgoTest, we are continuously building tools to help retail traders make better decisions for their investments. Our first product is a free options backtester for India. is a platform that offers free backtesting for trading strategies in India. Built by expert traders with 10+ years of experience in the markets, both in India and on Wall Street. We invite you to leverage our extensive experience and evaluate your trading strategies for free.

Quantitative Analyst, TradeScience August 2020 - May 2021

I was engaged in technical analysis of derivatives market to design systems based on momentum and volatility of underlying asset. My responsibilities included implementing & backtesting trading strategies, and reviewing trade statistics to optimize strategy performance. It also involved triangulating novel solutions to increase profit, reduce drawdown, for maintaining strong risk-adjusted portfolios.


User-Guided Variable Rate Learned Image Compression
Rushil Gupta, Suryateja BV, Nikhil Kapoor, Rajat Jaiswal, Sharmila Nangi, Kuldeep Kulkarni

Workshop and Challenge on Learned Image Compression(CLIC), CVPR 2022

Data Platform, Disney+ Hotstar
Data Engineering Intern, Summer 2021
Hosted by Kushal Khandelwal and Samrat Deb
BigData Experience Labs, Adobe Research
Research Intern, Summer 2020
Hosted by Kuldeep Kulkarni and Sharmila Nangi
Graduate Institute of Biomedical Informatics, Taipei Medical University
Visiting Student, Summer 2019
Hosted by Yu-Chuan Li and Shabbir Syed-Abdul

Here are some selected projects that I have worked on

Motion Planning for Mobile Robot

A reinforcement learning model for an autonomous agent in a grid world domain. The problem is modeled as a Markov Decision Process and policy for states is determined using value iteration. Covergence is determined by combined criteria of policy change and max norm of value change.

PageRank using MapReduce

A pipeline to solve Google's PageRank algorithm using the MapReduce paradigm for distributed computing. Multi-threaded MapReduce library is developed utilizing the MPI for split-apply-combine strategy, outperforming the standard MapReduce-C++ & MapReduce-MPI libraries.

Picture Credit

Advanced RISC Machine based Processor

A 32-bit CPU designed for complete ARMv7 instruction set, writtten in Very High Speed Integrated Circuit Hardware Description Language(VHDL), and implemented on Basys3 Field Programmable Gate Array(FPGA) Board

Picture Credit
Traffic Simulator

A C++ simulator for Indian road traffic intersection, using OpenGL for GUI rendering. It supports realistic lane change behavior for Indian traffic. The simulator can be visualized on terminal as well as OpenGL.

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Platform Game

A multi-leveled role-playing based arcade game developed using impact.js. Fun to play for people like me who loved the 8-bit retro world and always look back to the games we played as a child to unwind.

Functional Language Interpreter

A compiler with call-by-name(Krivine Machine) and call-by-value(SECD Machine) semantics, implemented in OCaml. It takes tokens generated from a Lexer to create an Abstract Syntax Tree using recursive Parser.

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Teaching Assistantships

COL106: Data Structures and Algorithms Fall 2020

Instructors: Rahul Garg, Rijurekha Sen, and Yogish Sabharwal

MTL106: Probability and Stochastic Processes Spring 2021

Instructors: Ananta K. Majee, and S. Dharmaraja

COL334: Computer Networks Fall 2021

Instructors: Abhijnan Chakraborty, and Huzur Saran

COL380: Parallel & Distributed Programming Spring 2022

Instructors: Subodh Kumar

Last updated on 19th June 2022

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