Deepender Singla
Founder at Niveshi
Panipat, Haryana, India
Summary
🤩
Rockstar🎓
Top SchoolDeepender Singla is a founder and machine-learning engineer with 13 years of experience building backend systems and applying reinforcement learning to systematic trading. Based in Panipat, he launched Niveshi to productize RL-driven trading strategies and previously served as the first backend engineer at Accredible, owning infrastructure, security, and sales automation. His open-source work includes developing a DQN-based trading agent that interfaces with Interactive Brokers and contributing targeted bug fixes and tests to the pry runtime console. Comfortable across AWS operations, security audits, and data analysis, he combines hands-on engineering with founder-level ownership. Trained in engineering and liberal arts, he brings a pragmatic, multidisciplinary approach and a noted appetite for learning—recently focused on mathematics that underpins his ML work. Colleagues know him as a straightforward, collaborative engineer who moves projects from prototype to production.
13 years of coding experience
4 years of employment as a software developer
Post-graduate, Multi-disciplinary program in Liberal Arts and Sciences., Liberal Arts and Sciences/Liberal Studies, Post-graduate, Multi-disciplinary program in Liberal Arts and Sciences., Liberal Arts and Sciences/Liberal Studies at Young India Fellowship at Ashoka UniversityBachelor of Engineering (B.E.), Electrical Engineering Technologies/Technicians, Bachelor of Engineering (B.E.), Electrical Engineering Technologies/Technicians at Thapar Institute of Engineering and Technology
Stackoverflow
999reputation
86kreached
13answers
63questions
Github Skills (25)
pry10
python10
console10
chainer10
machine-learning10
reinforcement-learning10
ruby10
dqn10
interactive-brokers10
api10
testing9
reflection9
debug9
debugging9
irb9
Programming languages (11)
Github contributions (5)
deependersingla/deep_trader
Jan 2016 - Jan 2018
This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.
Role in this project:
ML Engineer
ML EngineerContributions:146 commits, 2 PRs, 91 pushes in 2 years
Contributions summary:Deepender appears to be involved in the development of a reinforcement learning project focused on stock market trading. Their commits demonstrate work on training classes, including the use of Deep Q-Networks (DQN) implemented with Chainer. They are working with Interactive Brokers (IB) API for data and trading functionalities, and the initial setup of the project infrastructure.
jessestock-marketagentgoalreinforcement-learning
pry/pry
Dec 2013 - Dec 2013
A runtime developer console and IRB alternative with powerful introspection capabilities.
Role in this project:Back-end Developer
Back-end DeveloperContributions:6 commits in 2 days
Contributions summary:Deepender focused on bug fixes and test coverage for the `pry/pry` project. The primary task was addressing an issue with method lookup, specifically handling edge cases like `klass.new[]` and `$ mongo[]`. They also added and modified tests within the `spec/method_spec.rb` file to ensure the correct behavior of method lookup. These changes are primarily focused on resolving existing functionality and ensuring code correctness.
irbpryconsoleruntimelinux
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.