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 intensive training in Python, machine learning, deep learning, data engineering, and AI deployment.
Built end-to-end AI projects across model development, evaluation, and deployment workflows while collaborating in a cross-functional cohort on real-world solutions.
Jul 2025 - Sep 2025
Researched a multimodal AI credit-risk scoring system combining structured financial data, emails, and financial documents.
Applied BERT and Transformer embeddings with feature fusion, explored SHAP/LIME and LayoutLMv3/Donut for explainable document understanding, and co-authored an NLP text-summarization 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.
Jul 2024 - Oct 2024
Built a scalable e-commerce application using Flutter, Next.js, and SQL. Optimized backend queries, reducing processing time by 30%.
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, professional context, portfolio, and GitHub knowledge 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.
Completed AWS Training and Certification exam-readiness coursework for the Machine Learning - Specialty certification.
Currently completing a practical learning program in problem solving, communication, relationship building, and digital and AI essentials.
Completed the Digital Egypt Pioneers Program and achieved its core learning outcomes in the Data Scientist track.
Completed the Interactive Chatbot Interface for News Summarization project with Manipal Institute of Technology, as part of an AIESEC internship project.
Completed AIESEC's Leadership Development Experience through a Global Volunteer opportunity.
Recognized for participation and efforts to address challenges on Earth and in space during the 2025 challenge.
Completed the HCIA-AI V3.5 course and received a passing grade through Huawei Talent Online.
Completed a four-week, 120-hour Artificial Intelligence summer training course.
Completed the Computer Vision Summer Training program under the Faculty of Computer and Information Sciences at Ain Shams University.
Received an Honorable Mention with the Ain Shams University Faculty of Computer and Information Sciences team.
Represented the Ain Shams University FCIS team as a finalist at ArabCAB 2026.
Achieved C1 Advanced English proficiency with an EF SET score of 62/100.
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