AI / ML Engineer • MSc Candidate • Kaggle Master (Top 1%)
I design and deploy LLM, RAG, Whisper ASR, and multimodal vision systems with a strong focus on inference efficiency, scalable ML platforms, and enterprise-ready delivery.
About
I work across the full AI delivery stack: data pipelines, experimentation, model fine-tuning, inference optimization, deployment, and monitoring. My recent work spans enterprise chatbots, speech-to-text systems, semantic search, video intelligence, and production recommendation engines.
The focus is consistent: ship systems that are reliable, cost-aware, and tied to business outcomes rather than demos. That includes LoRA/QLoRA fine-tuning, vector retrieval, real-time inference workflows, and ML platform practices such as CI/CD, MLflow, and experiment tracking.
Skills
Projects
Built enterprise-grade speech-to-text, LLM applications, and chatbot systems for large-scale client delivery.
Impact: moved AI initiatives from exploration into production-focused delivery pipelines.
Engineered meeting agents that transcribe conversations, generate summaries, and automate follow-up workflows using a Whisper + LLM pipeline.
Impact: reduced manual documentation work and accelerated meeting turnaround.
Implemented semantic resume-to-role matching with retrieval-augmented search to improve candidate ranking quality in recruitment workflows.
Impact: increased candidate-job fit accuracy for hiring teams.
Developed search, recommendation, auto-tagging, and image retrieval systems for fashion e-commerce using CV and embedding-based retrieval.
Impact: improved engagement and streamlined catalog operations.
AI-powered FPL Scout using historical and live data with ML models to predict player performance and optimize team selection.
Impact: enables data-driven FPL decisions with real-time predictive insights.
Contributed to the LangChain MCP adapter ecosystem and published reproducible Kaggle notebooks focused on practical, educational ML workflows.
Impact: extended open-source tooling and community learning resources.
Services
One-on-one technical consultation to scope AI opportunities, architecture decisions, and practical implementation plans.
Implementation and delivery of production-ready ML/DL systems from data preparation through modeling and deployment.
Design and development of custom LLM-powered agents tailored to automate workflows and support domain-specific tasks.
End-to-end computer vision solutions including detection, segmentation, and video analysis pipelines.
Credentials
Cairo University · Jan 2024 to Present
Port-Said University · Sept 2016 to Jul 2021
Top 1% Kaggle Code Master, 2 silver medals, 2 bronze medals, Upwork Top-Rated freelancer, 100% Job Success Score.
Contact
If you need LLM systems, semantic retrieval, speech pipelines, or ML platform work shipped with production discipline, reach out directly.