Adham Tamer - AI Engineer

About Me

I'm an AI Engineering student at New Ismailia National University with a passion for building production-ready machine learning systems and edge AI solutions.

My work spans from developing real-time object detection systems on NVIDIA Jetson hardware to creating full-stack web applications. I've achieved measurable results including 10.78% energy optimization using reinforcement learning and 85% mAP accuracy in edge-based computer vision systems.

Currently seeking opportunities to apply my AI/ML expertise to solve complex real-world problems, with a strong foundation in deep learning, computer vision, NLP, and AWS cloud architecture.

15+

Certifications

6+

Major Projects

2027

Expected Grad

Featured Projects

🔥

FIRE-EDGE

Complete edge-AI system architecture with ROS Noetic middleware, 5-DoF Kalman filter sensor fusion (0.3m/min drift), and TensorRT-optimized YOLOv8n on NVIDIA Jetson Xavier NX. Designed 12+ ROS topics, custom message definitions, and comprehensive failure recovery modes. Achieved 85% mAP@0.5 with 35ms latency and published at Student Research Conference.

YOLOv8 Edge AI ROS Noetic Kalman Filter TensorRT Jetson Xavier NX Multi-Sensor Fusion Thermal Imaging

→ GitHub → Architecture

⚡

Smart Home Energy Optimization

RL-based system that reduced household energy consumption by 10.78% (553.7 kWh saved). Trained Q-Learning agent on 4 years of data for optimal power management.

Q-Learning IoT Python RL

→ GitHub

𓂀

Hieroglyph Detection

Computer vision system for detecting and classifying ancient Egyptian hieroglyphs using deep learning, enabling automated analysis of historical texts and artifacts.

Deep Learning OpenCV PyTorch CV

→ GitHub

💈

Barber Shop Booking Platform

Full-stack web application with real-time appointment scheduling, admin dashboard, and mobile-first responsive design. First paid freelance project delivered successfully.

Next.js React Supabase Tailwind

→ Live Demo → GitHub

Technical Skills

Languages

Python C/C++ SQL JavaScript Assembly

ML/DL Frameworks

TensorFlow PyTorch Keras Scikit-learn XGBoost TensorRT

Cloud & DevOps

AWS SageMaker EC2 Lambda Docker Git Linux

Computer Vision

YOLOv8 OpenCV Object Detection Transformers Thermal Imaging

NLP & Gen AI

Hugging Face LLMs Prompt Engineering GANs

Web Development

Next.js React Supabase Tailwind CSS

Edge Computing

NVIDIA Jetson Raspberry Pi ROS Noetic Gazebo Real-time Inference Sensor Fusion

Specialized Algorithms

Reinforcement Learning Multi-Sensor Fusion SLAM Path Planning

Experience & Volunteering

Freelance Full-Stack Developer

Dec 2025 | Remote

Delivered first paid client project: full-stack barber shop booking platform
Built responsive web application using Next.js, React, Supabase, and Tailwind CSS
Implemented dynamic availability system with admin dashboard
Ensured mobile-first design with cross-device compatibility

Cloud Architect Summer Training

Jul 2025 | National Telecommunication Institute (NTI)

Completed 120-hour intensive training program (90 hrs technical + 30 hrs soft skills)
Achieved 93% score - top performer in the program
Gained hands-on experience in cloud architecture, AWS services, and infrastructure design
Developed skills in cloud deployment strategies and scalable system architecture

AI Engineering Researcher & Developer

Apr 2025 – May 2025 | New Ismailia National University

Led development of FIRE-EDGE, an edge-AI augmented reality system for firefighter safety
Implemented real-time fire detection achieving 85% mAP@0.5 accuracy with 35ms latency
Integrated multi-sensor data with Kalman filtering for drift-resistant navigation
Presented research at The First Student Research Conference

AI & Machine Learning Trainee

Sep 2024 – Oct 2024 | Syndicate of Engineers, Cairo

Completed comprehensive AI training program: Level 1 Data Analytics (30 hrs) and Level 2 Machine Learning (30 hrs)
Processed and cleaned large datasets using Python, pandas, and NumPy
Performed exploratory data analysis and created visualizations using matplotlib and seaborn
Generated correlation heatmaps to identify patterns and improve feature selection
Applied machine learning algorithms and statistical techniques for data-driven insights

Head of Business Development

Nov 2023 – Oct 2025 | Rally Society NINU Branch, Ismailia

Secured sponsorships and funding for student-led bootcamps, workshops, and technical events
Coordinated with industry professionals and academics to deliver guest lectures and panel discussions
Prepared and pitched collaboration proposals to tech companies for joint initiatives and event partnerships
Successfully organized multiple technical events serving 100+ students

Hi, I'm Adham Tamer