Applied AI Engineer / RAG & Automation / LLM Products
Omar Salama builds real-time computer-vision systems and LLM-powered automation workflows for high-impact applications. The work combines measurable model performance, retrieval, APIs, and deployment-aware engineering.
Applied AI Engineer for AI Automation, AI/ML, and LLM product roles.
I build applied AI systems that take research into usable products and workflows. My focus is computer vision, real-time inference, retrieval-augmented generation, and LLM-enabled automation backed by APIs and practical reliability controls.
My flagship work is Shifaa, a privacy-first patient-monitoring platform. I worked on its real-time seizure-detection pipeline using Vision Transformers, Graph Neural Networks, OpenPose, ONNX Runtime, C++, and Python.
I hold a dual degree in Computer Science and Artificial Intelligence from Ain Shams University and the University of East London (Class of 2026, GPA: 3.3/4.0). At Cultiv Bureau, I apply the same mindset to AI automation: n8n workflows, RAG, CRM integrations, APIs, webhooks, and production debugging.
Jul 2026 - Present
Design LLM-enabled n8n workflows for intent classification, conversation routing, and CRM operations through REST/GraphQL APIs, webhooks, Bitrix24, and WhatsApp Cloud API.
Build RAG pipelines with chunking, embeddings, vector similarity search, and context injection; improve reliability with prompt templates, JSON validation, retries, fallback handling, Docker, and production debugging.
Jul 2025 - Jan 2026
Completed an intensive cohort program spanning Python, machine learning, deep learning, data visualization, and AI deployment workflows.
Applied supervised and unsupervised learning in end-to-end data-science projects with a cross-functional cohort.
Jul 2025 - Sep 2025
Built and deployed an interactive news summarization chatbot using Google Gemini API with conversational, context-aware question generation.
Co-authored an NLP text summarization research paper under Prof. Ramakrishna.
Oct 2024 - Jul 2025
Developed a path-planning system for an autonomous vehicle, implementing optimization algorithms from scratch for the Shell Eco-marathon team.
Sep 2022 - Jul 2026
Dual degree from Ain Shams University and the University of East London in Cairo, Egypt. GPA: 3.3 / 4.0.
Graduated July 2026. Selected AI work includes healthcare, medical imaging, NLP, and autonomous systems.
Flagship AI systems presented as compact case studies for fast technical review.
Production-grade, privacy-first hospital monitoring platform unifying a grounded medical AI assistant with real-time detection for cardiac arrhythmia, patient falls, and epileptic seizures.
Segmentation, classification, few-shot recognition, and calorie estimation using EfficientNet-B4 + DeepLabV3+.
PyTorch + U-Net liver tumor segmentation pipeline for unseen patients using strict patient-level validation.
Conversational summarization and question-generation chatbot using Gemini 2.5 Flash API.
An advanced speech-recognition, broadcast-subtitle, and meeting-intelligence suite with Egyptian Arabic-aware model routing.
A portfolio assistant that answers from verified CV, portfolio, and GitHub context with server-side OpenAI calls.
Public, credential-free workflow templates that demonstrate the building blocks behind LLM-enabled automation.
Core strengths for Applied AI, AI/ML, Computer Vision, and AI Automation roles.
Validated machine learning model building, training, tuning, and deployment on AWS, including SageMaker-centered workflows.
Currently completing a practical learning program in problem solving, communication, relationship building, and digital and AI essentials.
Built ExoNet, an explainable exoplanet classifier reaching 95.28% accuracy on K2 candidates.
Certification covering AI foundations, neural networks, deep learning, and cloud AI concepts.
Government-backed intensive program in ML, DL, ANN, data analysis, and professional skills.
Hands-on training in object detection, image classification, and OpenCV pipelines.
Competitive-programming qualification demonstrating algorithmic problem-solving fundamentals.
Represented the Ain Shams University FCIS team as a finalist at ArabCAB 2026.
Advanced English proficiency for technical writing, presentations, and cross-functional collaboration.
Leadership roles that support the AI engineering narrative through mentoring, partnerships, and community delivery.
Led 12+ strategic meetings, secured 3 partnership and venue agreements, and delivered 20+ soft skills workshops to develop members' professional and leadership capabilities.
Directed 50+ volunteers and organized 10+ charity events, including the El-Adha Clothing Campaign 2023, across 30+ social initiatives.
Managed the 2025-2026 international internship exchange cycle, coordinating internship placements across multiple countries.
Conducted market research, closed 2 strategic partnership deals, and optimized financial workflows across university entities.
omarsalama117@gmail.com
+20 102 498 0973
omar-mohamed-salama
omarsalama4
Cairo, Egypt