Hossam Elsherbiny
AI Engineer & Data Scientist
Building intelligent systems powered by AI, LLMs, Computer Vision, and Agentic Workflows. Specializing in turning complex AI research into production-ready applications.
Featured Work
A selection of projects showcasing my expertise in AI, LLMs, and Computer Vision.
CareFlow AI Clinical Assistant
An end-to-end multi-modal clinical copilot platform integrating Arabic ASR, MedGemma VLM, MedSAM 2.0 segmentation, and BGE-M3 RAG to automate patient history taking and clinical decision support.
DeepFM CTR Prediction Pipeline
A PyTorch reproduction of the DeepFM architecture for Click-Through Rate prediction on the 45M-sample Criteo dataset, featuring memory-efficient pipelines and 6 architecture ablation studies.
EnergiQ AI EV Assistant
A voice-enabled AI agent integrated within the EnergiQ EV platform, enabling database function calling, a RAG system, and low-latency audio streaming.
Skills & Technologies
Tools and technologies I use to build intelligent systems and solve complex problems.
Programming Languages
Analytics Frameworks
ML Frameworks
Computer Vision (CV)
Natural Language Processing (NLP)
Generative AI
Agentic AI
Time Series
MLOps & Tools
Big Data & Cloud
Databases
Backend Frameworks
Work Experience
My professional journey in AI and data science.
AI Engineer
Freelance · Remote
- ▸Completed 100+ hours of freelance AI consulting and development, delivering high-impact solutions for international clients on platforms like Upwork.
- ▸Fine-tuned the FLUX.1-dev text-to-image model using LoRA adapters via ai-toolkit on cloud-hosted A100 GPUs, achieving high-fidelity custom character generation matching exact target concepts.
- ▸Built an end-to-end Egyptian Arabic speech recognition and structured named entity extraction pipeline utilizing a fine-tuned Whisper model, MARBERT tokenizers, and GPT-4o-mini.
- ▸Integrated MediaPipe skeleton landmark tracking and OpenCV for video-based gesture detection and audio-visual feature alignment.
AI Engineer
Acrow · Cairo, Egypt
- ▸Extracted and processed data from Oracle databases to support time-series forecasting for over 3,000 SKUs.
- ▸Designed, trained, and evaluated forecasting models (SARIMA, XGBoost, CatBoost, Prophet, LightGBM, and neural networks), lowering forecast error from 80% to 55%.
- ▸Engineered an intuitive GUI-based executable application to automate the end-to-end data extraction, model training, and forecasting pipeline, decreasing the manual process time from 3 days into 1.5 hours.
- ▸Partnered with cross-functional teams to validate model outputs and integrate forecasts into the company’s planning processes, boosting profit by over 10.5%.
Academic Background
My educational foundation in computer science and AI.
9-Month Professional Program
Information Technology Institute (ITI) · Mansoura, Egypt
Artificial Intelligence and Machine Learning Track
B.Sc. in Computer Engineering
Faculty of Engineering, Zagazig University · Zagazig, Egypt
- ▸Graduated with Honors
- ▸Ranked 10th in Class
Looking for an AI Engineer to build your next intelligent system?
I'm open to full-time roles, contract work, and collaborative projects in AI, GenAI, LLMs, and Data Science.