Hi, I'm Piyush Verma - Quantitative Developer | HFT at PlusWealth Capital Management LLP
I am fueled by the complexity of autonomous robotics and the precision of high-frequency trading. I thrive where logic meets high-stakes performance, solving intense engineering challenges with code and grit.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Led path planning and autonomous architecture development for Delhi Technological University's self-driving car team.
Recently functioned as a Quantitative Developer specializing in low-latency HFT systems and backtesting engines.
Offers deep expertise in ROS, C++, and Model Predictive Control to support robotics and trading system initiatives.
š Career trajectory
Academic Foundation
Building core competency in Computer Engineering at Delhi Technological University.
ā¦ BTech
ā¦ Computer Engineering
Competitive Engineering Phase
Applying theoretical knowledge to high-stakes autonomous and electric racing environments.
ā¦ Autonomous Systems Lead
ā¦ Motorsports
Quantitative Finance Integration
Transitioning core engineering prowess into the high-frequency trading domain.
ā¦ Quantitative Developer
ā¦ HFT
šŖš» Superpowers
Systems Architecture Architect
Engineering robust solutions for high-performance environments
ā¦ Architected path planning and control systems for autonomous vehicles.
ā¦ Optimized low-latency infrastructure for high-frequency trading environments.
ā¦ Built scalable simulation frameworks for complex robotic kinematics.
Autonomous Motion Specialist
Advancing robotics through imitation learning and control
ā¦ Leveraged Generative Adversarial Imitation Learning to improve vehicle decision-making.
ā¦ Implemented Model Predictive Control for precise motion execution.
ā¦ Applied ROS to integrate complex sensor arrays in competition vehicles.
Strategic Technical Leader
Orchestrating multidisciplinary teams in competitive domains
ā¦ Led cross-functional design teams at Team Defianz Racing.
ā¦ Directed the technical roadmap for FS Electric vehicle development.
ā¦ Co-led initiatives at the Indian Game Theory Society.
I'm excited about
ā¦ Exploring cross-industry applications of autonomous control and low-latency systems.
ā¦ Connecting with experts to share insights on path-planning and HFT infra.
ā¦ Identifying collaborative research opportunities in advanced robotics and machine learning.
I can help with
ā¦ Mentoring students on autonomous vehicle architecture and robotic control systems.
ā¦ Providing technical guidance on implementing low-latency C++ trading engines.
ā¦ Consulting on the design of efficient path-planning algorithms for mobile robotics.
I would love your help on
ā¦ Gaining deeper perspective on industry shifts within high-frequency trading firms.
ā¦ Learning best practices for scaling technical teams within research-focused startups.
ā¦ Finding new partners for collaborative open-source robotics or AI projects.