Ahmed Abdelsalam

Skills

Programming Languages:
Python, SQL, TypeScript
Machine Learning & Deep Learning:
Regression, Classification, Clustering, Feature Engineering, Model Evaluation, Transfer Learning
PyTorch, TensorFlow
AI Systems & LLMs:
LLM Integration, Retrieval-Augmented Generation (RAG), Embeddings, Vector Databases (Qdrant)
Backend Development:
FastAPI, REST APIs, Model Serving, API Design
Frontend Development:
React, Next.js, Tailwind CSS
Data & Analytics:
Data Cleaning, Data Preprocessing, Exploratory Data Analysis (EDA), Statistical Analysis
MLOps & Tools:
Docker, MLflow, Git, Linux, Jupyter, Hugging Face Spaces, Vercel

About

Applied AI Engineer focused on building production-grade AI systems and full-stack intelligent applications. Experienced in developing end-to-end pipelines—from data engineering and model training to deployment and user-facing products.
Specialized in LLM integration and Retrieval-Augmented Generation (RAG), with practical experience delivering scalable AI solutions using FastAPI, Docker, and modern frontend frameworks. Proven ability to turn complex data into actionable insights and deploy systems that solve real business problems.