# Siwakorn Komolhiran

> CS & Applied Math @ Columbia | SWE Intern @ Wedge (YC S25)

Location: New York, New York, United States
Profile: https://flows.cv/siwakorn

A freshman studying at Columbia University in the Fu Foundation School of Engineering, planning to major in Computer Science and minor in Economics, and interested in entrepreneurship.

## Work Experience
### Software Engineer Intern @ Wedge (YC S25)
Jan 2026 – Present
• Built a computer vision pipeline to analyze historical aerial photos and maps, detecting land-use changes over time to automate environmental site analysis reporting for clients.
• Developed image analysis models to identify and classify environmental features across temporal datasets, enabling comprehensive site change detection at scale.

### Mentorship Lead @ Almaworks Accelerator
Jan 2025 – Present | New York, United States

### Almaworks Demo Day Organizer @ Almaworks Accelerator
Jan 2024 – Jan 2025

### Executive Board, Director of Membership @ Columbia Organization of Rising Entrepreneurs
Jan 2025 – Present | New York, United States

### Operation Committee Lead @ Columbia Organization of Rising Entrepreneurs
Jan 2024 – Jan 2025

### Machine Learning Researcher @ NASA Goddard Space Flight Center
Jan 2025 – Jan 2026 | New York, United States
• Applied Machine Learning techniques using PyTorch to enhance climate simulations, achieving a 35% increase in spatial resolution for wildfire and rainfall projections.  
• Processed and visualized over 2TB of geospatial data, utilizing tools like ERA5, NetCDF4, Xarray, and Cartopy for high-resolution climate modeling.  
• Contributed to innovative research at the Goddard institute at Columbia

### Software Engineer Intern @ Accenture
Jan 2025 – Jan 2025 | Bangkok City, Thailand
• Built and optimized a credit calculation algorithm on Databricks using Python and Apache Spark, processing 4M+ trade records sequentially in 5 minutes while meeting client SLAs despite limited compute resources.
• Improved performance and prevented OOM errors by grouping dependent trade deals for parallel computation, leveraging Pandas UDFs and modular design.
• Developed SQL preprocessing pipelines to transform raw trade data into clean, calculation-ready datasets for accurate credit exposure tracking.
• Collaborated with client teams to translate complex business logic into computational workflows, powering interactive credit dashboards for trade risk management.

### Data Engineer Intern @ Omen
Jan 2025 – Jan 2025
• Built production ETL pipelines using Python, AWS S3, and PostgreSQL to automate daily ingestion and indexing of 100K+ financial sentiments, powering real-time analysis for an agentic hedge fund platform.
• Designed a data normalization engine to transform 10M+ financial indicators into ML-ready time series, improving model accuracy by 15% and supporting the company's successful $10.5M Seed round.
• Developed cloud infrastructure to process and serve large-scale financial datasets, enabling automated AI-driven workflows across the platform.


## Education
### Bachelor's degree in Computer Science
Columbia University

### High School Diploma
Triam Udom Suksa School
Jan 2021 – Jan 2024


## Contact & Social
- LinkedIn: https://linkedin.com/in/siwakornkomol

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Source: https://flows.cv/siwakorn
JSON Resume: https://flows.cv/siwakorn/resume.json
Last updated: 2026-04-01