"Focusing on the mechanics of intelligence: from mathematical foundations to practical computer vision systems."
- π Education: PDP University & MAAB Academy (Machine Learning & Data Science track).
- ποΈ Primary Domain: Computer Vision (YOLOv8/11, OpenCV, real-time object tracking) & multimodal systems.
- π Mathematical Foundations: Deepening mastery in Linear Algebra, Multivariable Calculus, and Probability (3Blue1Brown).
- π‘ Core Mindset: Understand algorithms from mathematical first principles before scaling them into production tools.
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π¬ 100-OpenSource-Models-Review
Empirical benchmarking of 102 open-source vision, speech, and language models under strict 4GB VRAM constraints (NVIDIA GTX 1650 / CPU).
PyTorchUltralytics YOLOWhisperDocker Profilesllama.cpp -
π§ MAAB-Data-Science-Track
Comprehensive Data Science & Machine Learning track: Python, SQL, and core algorithms implemented from mathematical first principles with FastAPI serving.
PythonNumPyscikit-learnFastAPIPostgreSQLMath Foundations -
π― Grant_AI
End-to-end intelligent grant evaluation, scoring pipeline, and document assessment prototype.
PythonMachine LearningData Processing -
ποΈ AI-Clothing-Store
Full-stack intelligent e-commerce catalog application with automated recommendation backend.
PythonBackend APIsFrontend
- Languages: Python, C++, SQL, Bash
- Computer Vision & ML: PyTorch, Ultralytics YOLO (v8, v11), OpenCV, scikit-learn
- Tools & Systems: Linux, Docker, FastAPI, Git
- Foundations: Linear Algebra, Calculus, Algorithms & Data Structures (LeetCode)
