Rahul Chhabra

Software Engineer

India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Developed innovative cloud gaming architecture presented at GDC 2022.
Hands-on experience in algorithmic trading across multiple markets.
Early adopter of AI integration in quantitative research.

Stackforce AI infers this person is a Fintech and Gaming professional with expertise in algorithmic trading and cloud gaming architectures.

Contact

chhabrarahul882@gmail.com LinkedIn

Skills

Core Skills

Algorithmic TradingQuantitative ResearchCollaborationCloud GamingResearchSoftware Development

Other Skills

AI IntegrationBacktesting FrameworksBokeh Plotting LibraryBokeh Visualization LibraryC++CommunicationComputer ArchitectureCross-Team CollaborationDistributed SystemsEnglishFinanceFinancial MarketsGame DevelopmentGame Outcome PredictionLatency Management

About

I am a Computer Science graduate from IIT Delhi with hands-on experience across quantitative research, algorithmic trading, and cutting-edge computer systems. I have worked on developing market-neutral long/short strategies for the US, China, and Japan markets—ranging from technical and fundamental to sentiment-driven alphas. I also built and enhanced backtesting frameworks, integrating AI-powered research workflows well before the generative AI boom. During my internship at Goldman Sachs, I worked with the algorithmic trading team, gaining exposure to real-world financial market systems and cross-team collaboration. My research internship at Stanford University focused on fairness vs. latency trade-offs in cloud gaming, where I proposed and implemented novel architectures that achieved significant improvements in fairness. This work was later presented at the Game Developers Conference (GDC) 2022 in San Francisco. I bring a blend of quantitative finance, large-scale system design, and research-driven problem solving. My passion lies in leveraging technology and data to build innovative, practical solutions—whether in trading, compliance, or applied AI systems.

Experience

Goldman sachs

Summer Analyst

Jun 2022 – Jul 2022 · 1 mo · Bangalore Urban, Karnataka, India · On-site

Worked with Algorithmic trading team
Learnt lot of crazy user experience stuff with simple yet innovative tech.
Entered the world of financial markets getting exposure to how the entire teams work together

Algorithmic TradingFinancial MarketsCross-Team CollaborationCollaboration

Stanford university

Researcher

May 2022 – Jul 2022 · 2 mos · California, United States · Remote

Developed a OpenAI gym based framework for studying the latency vs fairness tradeoff in cloud games
Developed game outcome prediction model and integrated with the rendering pipeline with frame rate adjustments
Proposed a novel latency aware cloud gaming architecture GAMEX intended to wrap over game engines
Achieved 96.8% fairness for delays of less than 320ms and around 2x improvement in fairness for higher latencies
The results of the work were presented at Game Developers Conference (GDC) 2022 held in San Francisco

Cloud GamingLatency vs Fairness Trade-offsOpenAI GymGame Outcome PredictionResearch

Undisclosed hedge fund

Software Engineer

Jan 2022 – May 2023 · 1 yr 4 mos · Connecticut, United States · Remote

Worked in Alpha research domain first, worked on writing market neutral long short strategies for US , China and Japan Markets. The alphas included technical , fundamental and sentimental based alphas
Worked on improving the backtesting framework by adding user requested features
Added AI integration in the quant research, One of the early adopters of GPT api before the AI boom.

Algorithmic TradingMarket Neutral StrategiesBacktesting FrameworksAI IntegrationQuantitative Research