Abdelmoneim Mohamed

Abdelmoneim Mohamed

AI Engineer
Egypt
English, Arabic
Full-time Hybrid

About Me

AI Engineer building production-oriented LLM, RAG, agentic AI, and machine learning systems. Strong Python/backend engineering background with hands-on experience integrating AI services with enterprise data, APIs, vecto…

Experience

AI Engineer

Eagle Hit · Cairo, Egypt
May 2026 - Present · 6 months

<p>Architect and build production-oriented RAG, LLM, and agentic AI systems integrating enterprise data with vector retrieval, tool execution, structured outputs, and multi-step workflows.</p><p> Develop orchestration and retrieval pipelines using LangGraph, LangChain, LLM APIs, embeddings, and vector databases, with emphasis on grounding, evaluation, latency, and reliability.</p><p> Build and integrate FastAPI-based AI services for assistants, classification, extraction, analytics, and decision-support workflows in collaboration with backend and product teams.</p>

AI Engineer

Freelance · Independent Client Projects
Dec 2024 - Present · 1 year 11 months

<p>Design and deliver end-to-end AI/ML systems for clients across enterprise analytics, forecasting, NLP, RAG, intelligent assistants, and business-process automation.</p><p> Lead ongoing development of an AI-powered ERP Analytics Platform combining operational ERP data with predictive ML, conversational AI, and decision-support capabilities.</p><p> Built pipelines for demand and cash-flow forecasting, churn, CLV, recommendations, and anomaly detection using gradient boosting, Prophet, deep learning, statistical methods, and ensembles.</p><p> Develop production infrastructure with FastAPI, SQLAlchemy, SQL Server, Redis, ChromaDB, MLflow, Docker, React, and LLM providers, including multi-tenant isolation and model evaluation.</p>

Machine Learning Engineer

BorderlessHR Inc. · Ottawa, ON
Jun 2025 - Feb 2026 · 8 months

<p>Developed and productionized AI capabilities for an AI-powered recruitment platform, including interview intelligence, CV processing, candidate evaluation, job matching, and LLM-assisted workflows.</p><p> Built real-time AI pipelines using Python, Django, WebSockets, Whisper, PyTorch, and GPU inference for live interview transcription and downstream candidate analysis.</p><p> Improved production AI reliability through API integration, prompt/model evaluation, debugging, performance optimization, and deployment support across recruitment workflows.</p>

Skills

Python SQL FastAPI Flask Django REST APIs WebSockets Async Python SQLAlchemy Pydantic PyTorch TensorFlow scikit-learn XGBoost LightGBM CatBoost Prophet Time-Series Forecasting Classification Regression Anomaly Detection Recommendation Systems OpenAI API Hugging Face Transformers LangChain LangGraph RAG Agentic AI Tool Calling Structured Outputs Embeddings Prompt Engineering Model Evaluation Fine-tuning Sentence Transformers Hybrid Search Semantic Search Vector Retrieval ChromaDB FAISS OpenSearch PostgreSQL SQL Server MySQL Redis Pandas NumPy MLflow Model Serving Experiment Tracking
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