Ahmad Abdulhameed
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Specialized in building production-ready ML solutions, RAG systems, and intelligent automation. Combining AI expertise with engineering fundamentals to create scalable, impactful applications.
About Me
I'm a passionate Machine Learning Engineer with expertise in Computer Vision, NLP, and AI systems. I specialize in building production-ready ML solutions, from data processing pipelines to real-time inference systems. My work spans RAG-based intelligent systems, automated web scraping with LLM integration, computer vision applications, and IoT smart solutions. I combine mechanical engineering fundamentals with cutting-edge AI to solve complex real-world problems. With experience in both freelance ML development and corporate engineering, I bring a unique perspective to creating reliable, scalable, and user-centric AI applications.
ML & AI Systems
Production-ready solutions
Computer Vision
Image & video analysis
NLP & LLMs
RAG systems & chatbots
IoT Solutions
Smart systems & automation
Experience
Software & AI Solutions Developer
Remotely AFH
Specialized in developing production-ready ML solutions including RAG systems, computer vision applications, and NLP pipelines. Built intelligent document processing systems with LLM integration, automated web scraping with AI-powered data extraction, and real-time inference APIs. Expertise in embeddings, vector databases (Pinecone, FAISS, Chroma), and scalable ML architectures.
AI & Software Developer
Full-Time ENPPI - Engineering for Petroleum & Process Industries
Developed AI-powered automation tools and intelligent software solutions that revolutionized engineering workflows. Built ML-based document processing systems reducing report generation from 2-3 days to 30 seconds. Created advanced desktop applications with data analytics, performance tracking, and predictive insights using Python, PyQt5, Pandas, and machine learning algorithms. Pioneered the integration of AI into traditional engineering processes, significantly improving operational efficiency and decision-making.
Mobile Developer & IoT Engineer
Part-Time Waqqad Smart Solutions
Designed and developed IoT-based smart home systems integrating Flutter mobile applications with Firebase backend and ESP8266/ESP32 microcontrollers. Implemented intelligent master node selection algorithms with automatic failover mechanisms for enhanced system reliability. Created real-time device monitoring and control interfaces with seamless cloud synchronization.
Skills & Technologies
Featured Projects
DataBrain - RAG System
Scalable RAG-based system for intelligent document processing and retrieval. Features document collection, metadata extraction, chunking & vectorization, and semantic search …
Automated Web Crawling & NLP Info Extraction
Intelligent web crawler with structured data extraction from news websites and online content. Built RESTful APIs with FastAPI, integrated Redis …
Department Evaluator & Bonus Estimator
Comprehensive performance tracking system to rank employees and analyze department productivity metrics. Integrated MongoDB for scalable data management, Pandas for …
Stress Analysis Critical Line List Generator
Python-based stress analysis automation tool that revolutionized engineering workflow. Reduced critical report generation time from 2-3 days to 30 seconds …
Waqqad Smart Home System
IoT-based smart home automation system for device control via mobile and web interfaces. Features intelligent dynamic master node selection with …
Education
Bachelor Degree - Mechanical Engineering
Cairo University
Bachelor of Science in Mechanical Engineering with focus on thermodynamics, fluid mechanics, and engineering design.