Duc Duong
ML/AI Savvy
I’m Duc Duong, a machine learning savvy with a strong interest in quantitative research and data-driven problem solving. From variant Sudoku puzzles to applying algorithms that uncover hidden patterns in complex systems, I enjoy tackling challenges that require both structure and creativity. Outside of academics, I’m a dog lover and puzzle solver, qualities that keep me curious, persistent, and focused. My goal is to leverage machine learning and analytical thinking to contribute to the fast-evolving world of quantitative finance while continuously learning and growing in the field.
About Me
Get to know me!
I’m Duc Duong, a machine learning savvy with a strong interest in quantitative research and data-driven problem solving. From variant Sudoku puzzles to applying algorithms that uncover hidden patterns in complex systems, I enjoy tackling challenges that require both structure and creativity. Outside of academics, I’m a dog lover and puzzle solver, qualities that keep me curious, persistent, and focused. My goal is to leverage machine learning and analytical thinking to contribute to the fast-evolving world of quantitative finance while continuously learning and growing in the field.
Quick Stats
Education
Bachelor of Arts in Computer Science & Economics. Considering double major with Mathematics and a concentration in Statistics.
Grinnell College
Focused on Machine Learning / AI, Data Engineering, Quantitative Economics, and Cloud Computing.
Key Achievements:
- Dean's List 2024, 2025
- Executive of Vietnamese Student Association and ML/AI Club
- Relevant Coursework: Data Structures & Algorithms, Database Systems, Machine Learning, Artificial Intelligence, Cloud Computing, Distributed Systems
High School Diploma, Mathematics Honors
VNU - HCM High School for the Gifted
Specialized high school curriculum with advanced training in Mathematics, Computer Science, and Research Methods.
Key Achievements:
- Graduated in top 5% of class
- Won provincial-level mathematics competitions
Work Experience
Quantitative Developer
CF Hub – qAnts Research Team
Built backtesting frameworks and automated data pipelines in Google Cloud.
Key Achievements:
- Built flexible backtesting framework with dynamic Yahoo Finance/IB ingestion for 50+ strategies
- Automated data pipelines with Google Cloud Scheduler + BigQuery, processing 200k+ rows
- Improved research reproducibility and efficiency by 40% with reusable data scripts
Technologies Used:
AI Software (Data Scientist) Intern
Gtel Data Research Group
Worked on large-scale AI/ML pipelines and database systems supporting language model fine-tuning.
Key Achievements:
- Processed 1M+ text samples, reducing preprocessing latency by 30% and raising BLEU score by 15%
- Constructed geospatial database of 10,000+ wards with <100m accuracy for address standardization
- Led weekly seminars with senior researchers on transformers, CNNs, diffusion models, and more.
Technologies Used:
Natural Language Processing Intern
Data Glacier
Developed ETL pipelines and deployed ML systems for NLP workflows.
Key Achievements:
- Engineered ML pipelines deployed as REST APIs with 99% uptime
- Automated classification of 50,000+ unstructured documents with NLP models
- Reduced pipeline errors by 25% through bottleneck diagnosis reports
Technologies Used:
Featured Projects
Predicting Tonal Languages
Directed research project analyzing multilingual audio samples with signal processing and ML models.
Price Compare
Built a price comparison web application that scrapes and analyzes product prices across multiple e-commerce platforms.
Skills & Technologies
Tools & Others
Tools & Others
Tools & Others
Awards & Certifications
Runners-up
Iowa Collegiate Mathematics Competition
Scored 99/100 points in a statewide contest.
Intermediate Technical Interview Prep
CodePath
Completed a selective program focused on algorithms, data structures, and coding interview mastery.
Data Engineering with Google Cloud
Coursera
Learned to design scalable data pipelines, ETL workflows, and manage BigQuery & Cloud Storage.
Practical Deep Learning for Coders
Fast.ai
Hands-on course applying deep learning with PyTorch, covering CNNs, NLP, Diffusion Models, and production workflows.