AI & Data · RP-AI-0017

Mahmoud Salama

MidData Scientist (Applied)

Applied AI engineer and data scientist shipping edge computer vision, fine-tuned LLMs, GraphRAG and agents

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  • 4yearsprofessional experience
  • MidSeniority level
  • PythonPrimary stack
  • CairoBased in · Egypt · GMT+2

Mahmoud Salama

Profile summary

Applied AI engineer and data scientist delivering production ML across computer vision, LLMs, agentic AI and geospatial data, with an MSc in Artificial Intelligence. At RTR (Orbits Engineering Firm), leads a team of 3, shipping a 25+ class detection and tracking system to mobile, web and NVIDIA Jetson, a LoRA/QLoRA fine-tuned Qwen document assistant with Langfuse and Phoenix evaluation, Vertex AI RAG, Neo4j GraphRAG and a LangGraph marketing agent. Previously managed data scientists at Click ITS and built GeoAI models at Esri. AWS Certified Machine Learning – Specialty.

  • Languages

    • ArabicNative
    • EnglishFluent

  • Sectors

    • Energy
    • Healthcare
    • Education
    • Fintech

Mahmoud Salama

3 roles

Experience

Most recent role first, with outcomes as stated in the CV.

  1. Senior AI Engineer

    RTR — Orbits Engineering Firm (outsourced)

    – Present

    • Leads a team of 3 early-career AI engineers, owning project scoping, planning and delivery timelines.
    • Built and deployed an object detection and tracking system covering 25+ classes for visual-pollution monitoring, shipped to a mobile app, web interface and NVIDIA Jetson edge device.
    • Fine-tuned Qwen 3.5 with LoRA/QLoRA on domain data and deployed a Dockerised document chat assistant (PDF, CSV, TXT) with full observability and evaluation in Phoenix and Langfuse.
    • Extended a FAISS/Chroma document Q&A pipeline (50+ extracted question–answer pairs) with a Neo4j GraphRAG layer to improve multi-hop accuracy, and built a Gemini RAG system on Vertex AI.
    • Built a LangGraph agentic marketing platform that collects data, generates campaigns and sends personalised emails, plus an MCP server/client standardising tool access and structured outputs across assistants.

  2. Senior Data Scientist

    Click ITS

    –

    • Managed and mentored a team of 4+ data scientists, translating client requirements into end-to-end AI pipelines and delivery plans.
    • Delivered full-cycle projects including breast-cancer patient clustering, surveillance-video abnormal-behaviour detection, oil-well log prediction and fraud detection.

  3. Computer Vision / Platform Configuration Engineer

    Esri

    –

    • Built and deployed deep learning models for detection and segmentation of satellite imagery, including U-Net semantic segmentation and GeoAI building extraction.

Mahmoud Salama

3 projects

Selected projects

Shipped titles and products, with the role played on each.

  • Visual Pollution Detection & Tracking

    Team lead / AI engineer

    Detection and tracking across 25+ classes, shipped to mobile, web and edge devices.

    • Object detection
    • Object tracking
    • NVIDIA Jetson

  • Smart Learning System

    Designer

    Platform that ingests course materials, assesses learner level and generates personalised content, recurring tests and content-aware chat.

    • LLMs
    • RAG

  • GeoAI Building Extraction (Esri)

    Computer vision engineer

    Object detection on satellite imagery to extract building footprints.

    • Deep learning
    • Object detection
    • ArcGIS

Mahmoud Salama

8 core skills

Skills

Core skills first, then the full toolkit by theme.

Core skills

  • Python
  • Computer Vision (detection, tracking, segmentation)
  • PyTorch / TensorFlow
  • LLM Fine-tuning (LoRA/QLoRA)
  • RAG / GraphRAG
  • LangGraph (Agentic AI)
  • Edge Deployment (NVIDIA Jetson)
  • Machine Learning & EDA

  • Computer vision

    • Object detection
    • Object tracking
    • Segmentation (U-Net)
    • OpenCV
    • CUDA
    • Multimodal AI (Qwen3-VL)
    • NVIDIA Jetson

  • LLMs & agentic AI

    • RAG
    • GraphRAG
    • LangChain
    • LangGraph
    • LoRA / QLoRA
    • MCP
    • Function calling
    • Prompt engineering
    • Gemini

  • Vector, graph & evaluation

    • FAISS
    • ChromaDB
    • Neo4j
    • Phoenix
    • Langfuse

  • Data science

    • Pandas
    • Matplotlib
    • EDA
    • Spark
    • SQL
    • MongoDB
    • Oracle

  • Cloud & geospatial

    • AWS
    • GCP Vertex AI
    • Azure
    • Docker
    • ArcGIS / ArcGIS Pro
    • LiDAR
    • GIS

Mahmoud Salama

Education and certifications

Degrees, certifications and awards on record.

Education

  • MSc Artificial IntelligenceUniversity of East London, United Kingdom · 2026
  • Postgraduate Diploma – AI ProInformation Technology Institute (ITI), in partnership with EPITA · 2022
  • BSc Special GeologyBenha University · 2019

Certifications

  • AWS Certified Machine Learning – SpecialtyAmazon Web Services
  • Deep Learning SpecializationCoursera
  • Machine Learning NanodegreeUdacity
  • Dataiku Core Designer, ML Practitioner, Advanced Designer, Developer and MLOps PractitionerDataiku
  • Spatial Data Science in Python with ArcGIS ProEsri

Mahmoud Salama

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