
Swayom Sharma
@swayom
ML Quant Intern at Livelong Wealth building reproducible financial ML pipelines and models that inform trading and risk decisions.
What I'm looking for
At Livelong Wealth, I work on reproducible machine-learning pipelines for financial market data, from preprocessing and feature engineering to model evaluation. I developed an XGBoost PnL regression model and a time-series cross-validated recommender to support trading decisions.
My backtests evaluated 460 trade scenarios and showed that 200x leverage resulted in 439 liquidations, informing risk-management rules adopted for live trading. I also ran a 20,000-combination search across five trading parameters.
Alongside my studies, I build personal projects in Generative AI, machine learning, and full-stack AI. My projects include MAX, an AI desktop assistant, and an AI-powered database platform that reduced query latency by 97.9% on 4.2M-row tables.
Experience
Work history, roles, and key accomplishments
• Owned the end-to-end ML pipeline for structured financial market datasets: preprocessing, feature engineering, and reproducible training, validation, and evaluation workflows.
• Ran a 20,000-combination grid search across 5 trading parameters (stop-loss, take-profit, trigger, offset, re-entry), benchmarked against an oracle-best-per-day baseline.
• Built a time-series cross-validated ML recommen
Education
Degrees, certifications, and relevant coursework
Maharshi Dayanand University Rohtak
Bachelor of Computer Applications
1. Relevant coursework: Machine Learning, Data Science, Artificial Intelligence, Database Management Systems, Data Structures, Object-Oriented Programming, Software Development.
Gurugram University
Master of Computer Applications - MCA, Computer Science
2025 - 2027
Master of Computer Applications (MCA), 2025–expected 2027.
Relevant coursework listed in my resume: Machine Learning, Data Science, Artificial Intelligence, Database Management Systems, Data Structures & Algorithms, Object-Oriented Programming, and Software Development.
Alongside my studies, I develop personal projects in Generative AI, machine learning, and full-stack AI applications, and work
Microsoft
Microsoft Applied Skills: Develop a Generative AI Chat App Using the Microsoft Foundry SDK
Oct 2026
HackerRank
Frontend Developer
Oct 2026
Maharshi Dayanand University (MDU), Rohtak
Bachelor of Computer Applications (BCA), Computer Science
2022 - 2025
Bachelor of Computer Applications (BCA), MD University, Rohtak — completed 2022–2025.
Microsoft
Microsoft Applied Skills: Get started developing agents in Microsoft Foundry
Oct 2026
HackerRank
SQL (Advance)
Oct 2026
Availability
Location
Authorized to work in
Portfolio
portfolio-27fs.vercel.appSalary expectations
Social media
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