Open to opportunities

Rishu Verma

@rishuverma

I’m a Quant / Systems Intern building low-latency trading infrastructure and high-throughput data pipelines for HFT-style research.

India

Message

What I'm looking for

I’m looking to contribute to low-latency HFT infrastructure, owning end-to-end data pipelines and real-time scanners, improving latency and backend performance, and validating strategies with robust backtesting and stress testing.

I’m a final-year B.Tech student at NIT Hamirpur (2026) who’s hands-on with production-style systems through my Quant / Systems internship at Maitrion, a prop trading firm. I focus on designing high-throughput data pipelines and building real-time, multi-instrument scanning systems.

At Maitrion, I’ve reconstructed and validated an XAUUSD hedging strategy by mapping rules from public trade history into Python. I built a Selenium + Brave Linux automation pipeline for repeatable data extraction, and I developed a real-time multi-instrument CVD divergence scanner across 40+ CME/Eurex futures symbols with sub-bar latency, improving precision by filtering correlations and reducing false positives.

I also bring product and reliability instincts from building and shipping PrimeStage as Co-Founder & Product Lead. I improved backend latency by 35%, reduced app load time by 20%, and engineered a scalable AWS S3 media pipeline while driving 99.9% uptime using SRE principles. I’m eager to contribute to low-latency HFT infrastructure at Graviton Research Capital.

Experience

Work history, roles, and key accomplishments

Current

Quant / Systems Intern

Current

Maitrion

May 2026 - Present (1 month)

Reverse-engineered a live XAUUSD gold hedging grid strategy from Myfxbook trade history, reconstructing lot sizing and hedging entry/exit logic for validation and reporting. Built a real-time multi-instrument CVD divergence scanner for 40+ CME/Eurex futures symbols with sub-bar latency, using Z-Score normalization and composite ranking with correlation filtering to reduce false positives.

Python Selenium Webdriver Linux CVD Divergence Analysis Walk Forward Validation Signal Ranking Cross Instrument Correlation Filtering

Research Intern

NIT Delhi

May 2024 - Jul 2024 (2 months)

Collaborated with a 4-member team to optimize 3D visualization workflows, reducing design review cycles by 25% through tooling and process improvements.

3D Visualization Workflow Optimization Tooling Process Improvement Team Collaboration

Co-Founder & Product Lead

PrimeStage

Jan 2022 - Jan 2024 (2 years)

Resolved REST API latency bottlenecks, cutting backend response times by 35% and preventing data loss for 500+ daily active users through profiling and tracing. Built scalable media storage on AWS S3 with IAM access control to sustain 99.9% uptime, and reduced app load time by 20% via systematic performance profiling and reusable UI component development.

API Performance AWS S3 Uptime Engineering Performance Profiling UI Components Backend

Education

Degrees, certifications, and relevant coursework

Coursera

Quantitative Finance and Risk Modeling Specialization, Quantitative Finance & Risk Modeling

Coursera Quantitative Finance & Risk Modeling specialization focused on quantitative finance concepts and risk modeling.

National Institute of Technology, Hamirpur

Bachelor of Technology, Chemical Engineering

2022 - 2026

Activities and societies: Quantitative Finance & Risk Modeling specialization (Coursera) mentioned alongside studies.

B.Tech in Chemical Engineering at NIT Hamirpur (Nov 2022–Jun 2026), with a quantitative self-study focus on derivatives pricing, systematic trading, and time-series/statistical modeling.