I'm a first-year Computer Science student at UIT - VNUHCM, with a deep passion for Machine Learning/Deep Learning, Optimization, and AI Research.
- 🎓 Currently exploring the mathematical foundations of CS and building AI/ML fundamentals.
- 👨💻 Active member at Software Engineering Academic Club (BHTCNPM) UIT and GDGoC-HCMUS.
- 🧠 Passionate about programming, algorithms, data structures, and problem solving through consistent practice and problem-solving discipline.
- 📊 Targeting: AI Research and solidifying my English proficiency (IELTS 7.0+).
- 📫 Always open to academic discussions, collaborations, and learning opportunities.
Languages & Web
AI/ML & Data Science
DevOps & Tools
ELO@UIT - Evolutionary Learning & Optimization | Advisor: Dr. Luong Ngoc Hoang
May 2026 – Present | Ho Chi Minh City, Vietnam
- Conducting comprehensive literature reviews on Evolutionary Algorithms to identify critical research gaps within the Optimization and Machine Learning domains.
- Collaborating on formulating methodologies and executing experiments to address identified gaps, contributing directly to the development of academic papers.
Software Engineering Academic Club (UIT)
Feb. 2026 – Jul. 2026 | Ho Chi Minh City, Vietnam
- Led the club's Probability & Statistics training sessions, simplifying complex mathematical theories and making it digestible and easy to understand for other students.
- Co-authored a C++ Knowledge Handbook, bridging the gap between low-level technical mechanics and real-world accessibility for beginners via highly visual code examples.
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RSI Vectorized Trading Strategy Research
A Python-based quant research project built around an RSI Vectorized strategy for the Vietnamese market. The logic uses a 14-period RSI, buying when RSI drops below 30 and taking profit when it rises above 70, while keeping the full signal generation and backtest flow vectorized with Pandas for better performance on larger historical datasets. The project also includes edge-case handling for flat price movement and was used as part of a successful QuantVN Scholarship application.
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Algorithm Efficiency Measurement System
A comprehensive C++ benchmark program implementing Strategy and Dependency Injection patterns. Engineered with a production-grade workflow utilizing Conventional Commits, Husky hooks (pre-commit/pre-push), and automated CI/CD via GitHub Actions.
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Club-level Machine Learning Competition
Applied multi-task learning, classification, and regression techniques on air quality datasets to predict environmental metrics.
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Algorithm & Data Structures Solution Archive
A personal algorithm atlas for documenting and practicing problems from LeetCode, CSES, and Codeforces. Each folder keeps the solution code together with a clear editorial so the approach, edge cases, and complexity analysis stay easy to review.
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- B.Sc. Computer Science | University of Information Technology (UIT) - VNUHCM (Expected 2029)
- Relevant Coursework: Machine Learning, Probability & Statistics (8.8), Linear Algebra (9.6), Calculus (9.8), Data Structures & Algorithms (9.0), Discrete Structure (9.9)
- Advanced Learning Algorithms | DeepLearning.AI & Stanford University
- Supervised Machine Learning | Stanford University & DeepLearning.AI
- Google Project Management Essentials | Google Career Certificates
- Foundations of Agile Project Management | Google Career Certificates
- Google AI Essentials | Google Career Certificates
- Google Prompting Essentials | Google Career Certificates
- Machine Learning Foundations - Full Stack AI Engineer | Data Science Academy
- Google AI Professional | Google Career Certificates
- Git Work-Ready | Rikkei Education
- Become Experts in Python | Udemy
- Object-Oriented Programming in C++ | CodeLearn.io
- GitHub: HieuStudyingCS
- LinkedIn: Hieu Le
- CV: CV
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"Turning complex data into meaningful insights through analytical problem-solving."