AI Engineer | Edge AI & Cloud Solutions | Deep Learning & Computer Vision
I build production‑ready AI systems that solve real‑world problems — from edge‑optimized computer vision models and reinforcement learning systems to full‑stack and cloud‑deployed applications. My work focuses on measurable impact, performance, and real deployment constraints.
🔗 Portfolio: https://engadhamtamer.github.io/adham-portfolio/
🔗 LinkedIn: https://www.linkedin.com/in/adhamtamer
📫 Email: adhamt864@gmail.com
A complete edge AI system for real‑time fire detection optimized for low latency and deployment on embedded devices.
Key Results
- Real‑time inference (~35 ms)
- Edge‑optimized object detection
- Designed for deployment on NVIDIA Jetson devices
Tech Stack: YOLOv8, TensorRT, ROS Noetic, OpenCV, Python
🔗 Repository: https://github.com/EngAdhamTamer/Fire-Edge
A computer vision system for detecting and segmenting ancient Egyptian hieroglyphs from archaeological artifacts using real annotated datasets.
Highlights
- Object detection & segmentation
- Cultural heritage & archaeology domain
- Research‑oriented dataset and pipeline
Tech Stack: PyTorch, OpenCV, Deep Learning
🔗 Repository: https://github.com/EngAdhamTamer/hieroglyph-detection
A reinforcement learning project using Q‑Learning to optimize smart home energy consumption.
Key Results
- Achieved ~10.78% energy reduction
- Simulation‑based evaluation
- Policy convergence analysis
Tech Stack: Python, Reinforcement Learning
🔗 Repository: https://github.com/EngAdhamTamer/smart-home-energy-optimization
A machine learning pipeline for classifying SMS messages as spam or ham.
Highlights
- Text preprocessing & feature extraction
- Supervised ML models
- NLP fundamentals applied to real data
Tech Stack: Python, NLP, Scikit‑Learn
🔗 Repository: https://github.com/EngAdhamTamer/SMS-Spam-Detection
A real‑world web application built as a paid freelance project, focusing on booking flow and user experience.
Highlights
- Delivered as a paid client project
- Built to solve real booking workflow needs
- Deployed and used in production
- Designed for non-technical end users
Tech Stack: JavaScript, React, Next.js
🔗 Live Site: https://abdeen-barber-shop.vercel.app/
🔗 Repository: https://github.com/EngAdhamTamer/abdeen-barber-shop
Languages: Python, JavaScript, C/C++, SQL
AI / ML: Machine Learning, Deep Learning, Computer Vision, NLP
Optimization: Reinforcement Learning, Meta‑Heuristic Algorithms
Edge & Systems: TensorRT, ROS, Embedded AI
Cloud & DevOps: AWS, Docker, Linux, Git
Web: React, Next.js
I’m open to AI engineering, machine learning, computer vision, and edge AI opportunities — freelance, research, or full‑time.
📫 Email: adhamt864@gmail.com
🔗 LinkedIn: https://www.linkedin.com/in/adhamtamer
🧑💻 GitHub: https://github.com/EngAdhamTamer