Pupipat Singkhorn

Bachelor of Engineering — Computer Engineering Major

• Teaching Assistant - Programming Methodology course
• CU Finance Club - Academic Team

Science-Mathematics Major

GPA: 3.85

• Thailand Physics Olympiad (TPhO) - Bronze Medal (19th TPhO), Participated (18th TPhO)
• Triam Udom Photo Club - Staff and Member

Freelance

Assisted in organizing and running the 2025 ICPC Asia Bangkok Regional Contest.

Participated in GrabSparks 2025, an annual national business and data case competition organized by Grab, tackling real-world challenges.

Conducted equity research and valuation of an S&P 500-listed company for the Thammasat Business School (TBS) Stock Pitch 2025 competition.

Ranked 8th in a global trading simulation hosted by the Rotman School of Management, University of Toronto, in collaboration with the Faculty of Commerce and Accountancy, Chulalongkorn University. Competed in real-time market simulations covering Liability, ETF Arbitrage, and Commodities Trading. Focused on evaluating tender offers, managing liquidity risk, and executing high-pressure trades using the RIT simulator.

Fine-tuned and evaluated a diffusion-based large language model (LLaDA) for Thai news summarization. Leveraged LLM-as-a-Judge (QAG-based) evaluation, compared diffusion against autoregressive models, and analyzed context-length strategies (MapReduce vs Refine).

Participated in the National AI Student Challenge 2025 hosted by AI Singapore and Amazon Web Services (AWS), focusing on the development and application of large language models using AWS technologies.

⭕ Finalist

Conducted equity research and valuation of a SET-listed company; presented investment thesis and risk assessment to a panel of industry professionals and fund managers.

• Developed an OCR/LLM-powered system to extract and organize investment data.
• Built and deployed a dashboard with key performance metrics (ROI, Sharpe Ratio, Volatility, CVaR).

🎖️ 4th Place

• Built a 2-stage ensemble model for targeted donor outreach.
• Achieved high-precision donor predictions and effective cost management.

• Developed an alpha factor model to forecast stock returns using classical ML and LSTM networks.
• Designed and implemented quantitative trading strategies using historical data for backtesting.
• Integrated portfolio optimization techniques to maximize returns and minimize risks.

• Managed a self-directed investment portfolio with a TWRR of 15.46%, MWRR of 34.34%, and ROI of 14.47%, achieving an AUM of B119,240.51 (as of February 28, 2025).
• Evaluated risk-adjusted performance, maintaining a Sharpe Ratio of 0.54 (ifi ~ 4%, CBOE-10Y-TNX).
• Monitored portfolio risk, with an MDD of 11.95%, VaR of 3.25%, and CVaR of 4.64%.

🏆 1st Prize & Best Performance Prize

Created a machine learning model to forecast credit default risk.

• Intania Case Competition - Built UAM strategy using AI/cloud for 200K trips/year goal.March 2025
• Hult Prize at Chulalongkorn - Developed a social enterprise idea aligned with UN SDGs.2023
• Chulalongkorn Case Discovery x Ascend Money - Formulated a strategic plan for financial services application.2023

Presented ideas on meteor prevention at the National Science and Technology Fair 2021.

Programmed a robot to move in a specified direction while on the International Space Station (ISS).