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Mahinour Mohammad

@mahinourmohammad

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AI/ML Engineer building production-grade ML and LLM systems with Python and scalable pipelines.

Egypt

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What I'm looking for

I seek a hands-on engineering role building production ML/LLM systems, prioritizing scalable pipelines, cross-functional impact, and opportunities to influence product and deployment strategy.

I am an AI/ML Engineer with a Communications & Electronics Engineering background focused on building scalable, production-grade ML and LLM systems in Python.

I have architected and implemented production RAG systems with custom ingestion and retrieval processors, Qdrant hybrid search (Dense + Sparse + ColBERT), Reciprocal Rank Fusion, and asynchronous document pipelines to reduce latency and recomputation.

I engineered multi-threaded smart-meter data collection and processing that maintained 99%+ data integrity, developed 15+ RESTful APIs to automate billing workflows and cut operational effort by 90%, and automated IoT monitoring and secure APIs for sensor telemetry.

I hold a professional AI & Machine Learning diploma and a B.Sc. in Communications & Electronics Engineering, and I contribute across engineering, product strategy, and deployment to deliver reliable, production-ready solutions.

Experience

Work history, roles, and key accomplishments

Current

AI/ML Engineer

Current

Advanced Engineering Consultations

Jul 2024 - Present (1 year 7 months)

Architected and implemented production-grade RAG and hybrid search systems for an AI document platform and engineered multi-threaded DLMS/COSEM pipelines for 500+ smart meters, achieving 99%+ data integrity and automating billing workflows to cut operational effort by ~90%.

RAG Hybrid Search Qdrant fastAPI Python Flask DLMS COSEM

Education

Degrees, certifications, and relevant coursework

Information Technology Institute (ITI)

Professional Diploma, Artificial Intelligence & Machine Learning

2023 - 2024

Activities and societies: Collaborated with industry mentors on data-driven analysis combining sentiment analysis and visual feature extraction; developed applied ML projects and real-world deployments.

Completed a 9-month professional AI & Machine Learning Diploma with applied projects in CNNs, Siamese networks, XGBoost, object detection, and anomaly detection on real-world datasets.

Port Said University

Bachelor of Science, Communication & Electronics Engineering

2018 - 2023

Grade: Very good

Activities and societies: Developed and fine-tuned an SSD object detection model for plant disease identification and led CanSat data collection and telemetry efforts.

Bachelor of Science in Communication & Electronics Engineering with projects in object detection for smart irrigation and CanSat telemetry and data collection.