Ahmed Rizk

AI Software Engineer

ITI • Fulltime

Sep 2025 - Jun 2026 • 9 mos

Engineered production-grade Generative AI backends, agentic workflows, and hybrid retrieval systems. Key Achievements: • Developed asynchronous AI microservices using LangGraph and FastAPI, achieving a 28% precision improvement in document Q&A retrieval pipelines. • Fine-tuned open-source LLMs (Llama 3 8B) using PyTorch with PEFT/QLoRA techniques, cutting memory footprint by 72% for cost-efficient GPU deployment. • Built automated evaluation test suites using Ragas and PyTest to quantitatively benchmark groundedness, latency, and context precision.

Head of Machine Learning Committee

Institute of Electrical and Electronics Engineers • Parttime

Aug 2025 - Apr 2026 • 8 mos

Spearheaded machine learning education tracks and technical project mentoring within the branch. Key Achievements: • Mentored 50+ aspiring engineers through hands-on bootcamps focusing on deep learning with PyTorch and production MLOps practices. • Designed real-world coding tracks covering model deployment, feature engineering, and monitoring best practices. • Supervised end-to-end technical deliverables for student-led AI application prototypes.

Software & Data Engineering Trainee

eyouth Business • Parttime

May 2025 - Dec 2025 • 7 mos

Built predictive machine learning models and scalable data engineering pipelines across high-volume datasets. Key Achievements: • Designed and deployed classification pipelines across 50,000+ records, achieving a 0.88 macro-F1 score. • Architected normalized SQL database schemas and high-throughput REST APIs with automated regression tests to prevent data drift. • Containerized end-to-end data processing routines with Docker for reproducible deployment cycles.