AI Engineer / Researcher | Software Engineer | Physics & Computer Engineering Student
π Based in the USA | π Valparaiso University (BS Computer Engineering + BS Physics, 2026)
π§ fayol.ateufackzeudom@valpo.edu
π LinkedIn β’ Google Scholar
- Passionate about [Super] Intelligence
- Experienced in Software Engineering and end-to-end ML pipelines: from dataset curation β model training β cloud deployment
- 2Γ IEEE-published author on deep learning
- Proven impact in industry internships (BlackRock, Micron, ComEd) saving thousands of hours/year with AI automation
My main skill is that I learn really fast, but for resume purposes, here you go:
Programming: Python, C, C++, Java, JavaScript, SQL
ML Frameworks: PyTorch, TensorFlow, YOLOv8, OpenCV
Web & Mobile: Django, FastAPI, React.js, React Native
Cloud & DevOps: GCP, AWS, Docker, Linux, Git
Languages: English, French
- End-to-End Traffic Analysis (IEEE) β CNN + RNN system for vehicle tracking, 97% accuracy. π Paper | π₯ Demo
- Network & Graph Theory Optimization β Genetic algorithm improving NP-complete problem complexity. π Paper
- Drone Parking Utilization (IEEE) β YOLO-based occupancy detection from drone footage. π Paper
- AutoDine β AI-powered speech ordering with real-time tracking and database updates. π₯ Demo
- Death Note AI App β Multimodal notetaking app with LLM summaries. π₯ Demo
- Ateufack Zeudom, F. et al. βA Hybrid RNN-CNN Approach to Automate Traffic Pattern Analysis in Roundaboutsβ IEEE, 2025.
- Ateufack Zeudom, F. et al. βA Computer Vision-Based System to Study Parking Utilizationβ IEEE, 2024.
π¬ Always open to collaborating on AI/ML projects or discussing research opportunities.
π© Reach me at: fayol.ateufackzeudom@valpo.edu