Hello, I'm

Ali Soliman

AI Engineer & Data Scientist

Get To Know More

About Me

Experience

5+ Internships
AI · ML · Data Science · IoT

Education

B.Sc. Data Science
Alexandria University

I don't just build models — I build systems. My work spans RAG-powered LLM assistants, agentic AI pipelines, end-to-end ML diagnostics, and a full no-code data science platform I co-led as my graduation project. Every project I take on goes from concept to deployment, because I believe half-finished work teaches you nothing.

Proficient in Python, LangChain, Groq, Pinecone, PyTorch, Docker, and FastAPI. Passionate about automation, finding hidden patterns in data, and designing AI products that non-technical users can actually use and trust.

Explore My

Skills & Internships

AI & Machine Learning

LangChain / RAG

Experienced

LLM APIs (Groq, Gemini)

Experienced

Prompt Engineering

Experienced

PyTorch / TensorFlow

Intermediate

Scikit-learn

Experienced

Vector DBs (Pinecone)

Experienced

Data & Deployment

Python

Experienced

FastAPI / Docker

Experienced

Pandas / NumPy

Experienced

Plotly / Streamlit

Experienced

SQL

Experienced

Next.js / React

Intermediate

Internship Timeline

Jan 2026 – Jul 2026

DEPI Level 4 — Generative & Agentic AI

Digital Egypt Pioneers Initiative · Ministry of MCIT, Egypt

Advancing expertise in LLM orchestration, agentic workflows, multi-agent pipelines, and production-level GenAI system design.

Jan 2026 - Feb 2026

Generative AI Trainee — ITI

Information Technology Institute · Ministry of MCIT, Egypt

Covered LLM internals, prompt engineering, and RAG architecture — directly applied in MedCortex's anti-hallucination pipeline.

Nov 2025 – Jan 2026

ML for Data Analysis Intern — NTI

National Telecommunication Institute, Egypt

Delivered 3+ end-to-end ML projects; built a full RFM segmentation pipeline on 500K+ retail transactions, surfacing 4 customer segments and cutting churn identification time by 40%.

Nov 2024 – May 2025

AI / Data Science Intern — DEPI

Digital Egypt Pioneers Initiative · Ministry of MCIT, Egypt

Built MedCortex (RAG + LLM), optimized ML pipelines (+15% accuracy, −30% deployment time), and produced executive-ready Plotly dashboards (+40% stakeholder engagement).

Jul – Aug 2024

IoT Developer & Researcher — Alexandria University

Faculty of Computer and Data Science, Alexandria University

Shipped ESP32/MQTT IoT systems with Flutter mobile integration, achieving 99% uptime and 50% reduction in system failures.

Browse My Recent

Projects

RAG · LLM · Full-Stack

MedCortex — Medical AI Assistant

RAG-powered chatbot grounded in 14,335 NIH vectors using Llama 3.3 70B, LangChain, and Pinecone. Anti-hallucination prompt layer ensures 100% cited, grounded responses. Next.js 14 frontend with JWT auth and full Docker deployment.

LangChainRAGPineconeNext.jsFastAPIDocker

GitHub

LLM · AutoML · Agentic

Data Science Studio — No-Code AI Platform

Graduation project: a no-code AI platform automating the full data science lifecycle. Dual-LLM advisory engine, agentic execution pipeline, 25+ transformations, 14 ML models, and containerized Docker deployment.

PythonStreamlitLLM APIDockerAutoML

GitHub

ML · Fuzzy Logic · Deployed

Breast Cancer Diagnostic System

End-to-end ML pipeline benchmarking 4 classifiers via cross-validation with a fuzzy logic layer for uncertainty-aware predictions — achieving 96%+ diagnostic accuracy. Deployed as a live public Streamlit app.

Scikit-learnFuzzy LogicStreamlitPython

GitHub Live Demo

CRM · RFM · Clustering

Retail Sales & Customer Analytics

Full CRM analytics pipeline on 500K+ transactions — RFM segmentation, CLV modeling, cohort analysis, and K-Means clustering — revealing 4 distinct customer segments and key churn signals.

PandasPlotlyK-MeansRFM

GitHub