Resume
Professional experience and skills
Duc Duong
Quantitative Developer & Software Engineer
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Professional Summary
Passionate software and data engineer with expertise in machine learning, NLP, and scalable system design. Experienced in building robust data pipelines, deploying APIs, and developing backtesting and automation frameworks using Python, SQL, and cloud platforms. Strong background in deep learning frameworks, statistical modeling, and time series forecasting, with a focus on turning complex datasets into reliable, data-driven solutions. Actively exploring advanced AI techniques in large language models and diffusion architectures to bridge research with practical applications.
Technical Skills
Data Engineering
- • NoSQL, SQL, BigQuery
- • Airflow, DAG Automation
- • ETL Pipelines, Data Normalization
- • AWS, GCP
Software Engineering
- • Python, C, C++, R
- • Java, JavaScript, MATLAB
- • REST APIs, React
- • Flask, Git
Machine Learning & AI
- • Deep Learning, Transformers, Diffusion
- • NLP, Computer Vision,Prompt Engineering
- • Time Series Forecasting, Statistical Modeling
- • PyTorch, TensorFlow, Hugging Face
Tools & Platforms
- • Docker, Linux, Bash
- • Cloud Deployment (Vercel, AWS)
- • Jupyter Notebook, VSCode
- • Slack, Jira (Agile, Scrum)
Professional Experience
Quantitative Developer
CF Hub - qAnts Research Team • Aug. 2025 - Present
- • Built backtesting simulators for fractional share trading and volatility-based strategies
- • Developed Airflow DAGs to automate data ingestion for market indices, price volumes data, and fundamental data
- • Integrated multiple data sources including IB, MarketStack, FRED API, and GICS datasets
- • Implemented ARIMA and GARCH models for forecasting volatility and returns
- • Created portfolio evaluation frameworks and standardized research workflows
- • Diagnosed and resolved multi-threading issues in simulation pipelines
- • Prototyped unsupervised learning approaches for alpha generation
Data Scientist Intern
Gtel Data Research Group • May 2025 - Aug. 2025
- • Processed and standardized diverse datasets including text, image, and audio
- • Researched and experimented with Transformer, CNN, Contrastive Learning, and Diffusion models
- • Applied prompt engineering to build NLP pipelines for large-scale Vietnamese text corpora
- • Constructed geospatial datasets for ward-level analysis with high accuracy
- • Presented findings in internal seminars and defended methods under peer review
- • Collaborated with AI engineers to balance research and production tasks
- • Improved coding discipline, workflow planning, and quality assurance through mentorship
Leadership Experience
Executive, VSA Cabinet
Vietnamese Student Association • December. 2024 - Present
- • Coordinated an 8-member board to deliver cultural and community events
- • Organized 6+ campus-wide programs with over 500 participants
- • Managed budgets and logistics to ensure smooth event operations
- • Fostered collaboration and leadership development among student members
Education
Bachelor of Arts in Computer Science & Economics, Concentration in Statistics
Grinnell College • 2024 - 2028
Focus: Machine Learning, Artificial Intelligence, Data Pipeline, Cloud Computing, Quantitative Research.
Notable Projects
Neural Sudoku Solver
Deep learning model that solves Sudoku puzzles using computer vision and constraint satisfaction algorithms.
Real-time Analytics Dashboard
Interactive dashboard with live data visualization and machine learning predictions.
Awards & Certifications
Neural Sudoku Solver
Deep learning model that solves Sudoku puzzles using computer vision and constraint satisfaction algorithms.
Real-time Analytics Dashboard
Interactive dashboard with live data visualization and machine learning predictions.
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