Mahmoud Hesham Elkholany

Applied AI Engineer · Egypt

mahmoud.dev.ai@gmail.com · https://www.ai-mahmoud.tech

GitHub · LinkedIn

Summary

Applied AI engineer and Data Science student at Horus University (expected graduation: 2028). Own architecture and PR review for an 11-person engineering team at HUNA. Built a clinical AI assistant with structured output and physician review, multilingual RAG, and Flutter/Kotlin telecom tools used on client devices. Previously evaluated AI-generated code at Outlier AI and analyzed telecom data at Orange Egypt.

Experience

AI Software Engineer — HUNA

May 2026 – Present

  • Founding technical member of the Technology sector; own architecture and PR review for an 11-person engineering team across backend, frontend, and DevOps. Reviewed 60+ PRs and led technical training for interns.
  • Built a Gemini-backed clinical AI assistant with validated structured output, physician review, voice dictation, and per-user rate limiting.
  • Built environmental question answering with multi-hop retrieval and cross-lingual Arabic/English semantic search.

Technical Head — Microsoft Learn Student Club, Horus University

Aug 2026 – Present

  • Promoted from Data Science Lead. Manage the club’s GitHub organization across Data Science, AI, Cybersecurity, and Embedded Systems for 200+ members.
  • Support track heads in delivering practical exercises and projects alongside sessions.

Microsoft Student Ambassador — Microsoft

Jul 2026 – Present

  • Reached 400+ students across six campus sessions introducing Microsoft developer and AI tools.

Data Science Lead — Microsoft Learn Student Club, Horus University

Sep 2025 – Aug 2026

  • Built the BI curriculum and taught 50+ students Python data processing, multi-table SQL, regression, clustering, and Power BI using business scenarios.

AI Code Reviewer / Data Analyst — Outlier AI · Remote

Jun 2024 – Oct 2024

  • Reviewed AI-generated Python across ML and NLP tasks, evaluated reasoning and output quality, and documented factual accuracy and safety issues.

Data Analyst, Telecom — Orange Egypt · Damietta

Jul 2023 – Jan 2024

  • Cleaned and restructured telecom operational data in Excel and SQL, wrote analysis queries, and contributed to internal documentation.

Selected projects

Clinical AI assistant

HUNA · delivered work

Structured AI assistance for prescription workflows, with a physician reviewing every suggestion.

  • Delivered a clinical AI assistant with mandatory physician review.
  • Fixed model reasoning leaking into structured fields through prompt/configuration changes and an independent validation layer.

Arabic / English environmental RAG

HUNA · implemented

Environmental question answering with multi-hop retrieval and cross-lingual semantic search.

  • Implemented retrieval for compound questions across Arabic and English content.
  • Developed the supporting business plan, including market research, SaaS pricing, and infrastructure cost projections.

Bulk USSD & Bulk Caller

Client work · in use

Two Flutter/Kotlin tools for telecom campaigns and on-device call-outcome classification.

  • Installed and running on 10+ client devices across the two applications.
  • Shipped signed releases with license activation and tamper detection.

AtmoTwin

Independent project · simulated sensors

An environmental sensor digital twin with anomaly detection and what-if simulation.

  • Implemented sensor ingest, real-vs-twin overlays, and what-if scenarios.
  • The documented sensor stream is simulated; this case study does not claim a production hardware deployment.

Skills

Applied AI: Python, PyTorch, scikit-learn, Gemini API, Anthropic API, RAG, Structured output

Backend and delivery: TypeScript, FastAPI, React, SQL, Docker, Git, Linux

Data and connected systems: Pandas, Power BI, InfluxDB, Grafana, MQTT, Flutter, Kotlin

Education

B.Sc. Data Science — Faculty of Artificial Intelligence and Informatics, Horus University of Egypt (2024–2028, expected)

Selected credentials