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I help startups and businesses build web platforms and AI-powered systems that ship and actually work in production. I specialize in fullstack SaaS development and backend-heavy applications, with hands-on experience across the entire stack, from database architecture to polished frontend interfaces. What I build: SaaS platforms: multi-tenant architecture, dashboards, role-based access, billing flows AI pipelines: RAG systems, document processing, vector search with FAISS, LLM integration via OpenAI Web applications: job boards, booking systems, real estate platforms, CRM tools. Every project I take on gets clean code, clear communication, and a working product at the end.

I'm a Remote Sensing & Geospatial Data Engineer who turns satellite imagery into actionable insights. I've built production systems for CO2 emissions monitoring at CarbonInsights and specialize in processing large-scale satellite data with Python and machine learning. WHAT I DO Satellite Data Processing Process multi-spectral imagery from Sentinel-2, Landsat, and other satellites Build automated pipelines for environmental monitoring and change detection Extract vegetation health, water quality, and land use information from satellite data Develop time-series analysis for tracking environmental trends Data Pipelines & ETL Design automated workflows for processing terabytes of satellite imagery Create efficient data pipelines using Python, GDAL, and Rasterio Build geospatial databases with PostGIS Integrate with Google Earth Engine and cloud platforms Computer Vision & ML Train models for object detection in satellite and aerial imagery Develop segmentation models for land cover classification Build predictive systems for emissions monitoring and risk assessment Deploy production ML systems with Docker and AWS Analysis & Visualization Create interactive maps and dashboards for geospatial data Perform spatial analysis and statistical modeling Build custom APIs for data access and integration TECHNICAL SKILLS Remote Sensing: Google Earth Engine, GDAL, Rasterio, QGIS, Sentinel-2/Landsat processing, vegetation indices, atmospheric correction ML/AI: PyTorch, TensorFlow, Scikit-learn, OpenCV, computer vision, deep learning, NLP Data Engineering: Python, SQL, ETL pipelines, Apache Spark, PostgreSQL/PostGIS, cloud storage optimization Deployment: Docker, AWS (S3, EC2, SageMaker), GCP, API development (FastAPI, Flask) EXPERIENCE HIGHLIGHTS CarbonInsights - Processed 5TB+ of satellite imagery for CO2 emissions detection with 92% accuracy. Built automated preprocessing workflows that reduced manual work by 75% across 100+ industrial sites. CODE WAVE - Developed AI platforms serving 50+ businesses with real-time data processing and microservices architecture. WHY WORK WITH ME I deliver production-ready solutions that scale. My background combines hands-on satellite data processing with modern ML practices and cloud deployment. I communicate clearly and focus on results that matter to your business. LET'S TALK If you need satellite data analysis, environmental monitoring, automated geospatial pipelines, or custom ML models for Earth observation - let's discuss your project.

Hi, I’m Hamdi, an AI Engineer focused on building practical machine learning and AI solutions for real-world problems. I help businesses turn AI ideas into working products, from ML models and LLM-powered tools to AI agents and full-stack applications. What I can help with: • Machine Learning & Deep Learning Building, training, and deploying ML/DL models for practical use cases. • LLM Applications Integrating large language models into apps, workflows, and automation tools. • AI Agents Creating simple agents with raw APIs, and more advanced agent systems using LangGraph and LangChain. • Full-Stack AI Products Building end-to-end AI solutions, including Next.js apps, databases, basic security, and deployment. I focus on creating AI systems that are useful, reliable, and easy to use, not just demos or experiments.

AWS Certified AI & Cloud Engineer building intelligent, scalable, and production-ready web applications — from AI backend to cloud infrastructure to modern frontend interfaces. I help startups and businesses turn ideas into fully deployed AI-powered products. 💡 What I Deliver: 🤖 AI systems (LLMs, RAG, Multi-Agent Apps, Fine-tuning) ☁️ Secure & scalable AWS architectures ⚙️ DevOps automation (Docker, Kubernetes, Terraform, CI/CD) 🎨 Modern frontend apps (Vue.js, JS/TS, responsive UI) 🔗 Full integration: AI → API → Cloud → Frontend 🛠 Tech Stack: AWS (SA Pro | ML Specialty) • Kubernetes • Docker • Terraform LangChain • LLaMA • Hugging Face • MLflow Vue.js • Node.js • PostgreSQL I focus on building fault-tolerant, cost-efficient systems that are clean, fast, and ready for real users. Let’s build something powerful.

Senior Computer Vision Engineer specializing in production-ready AI systems. Over the past 5+ years, I have designed, trained, optimized, and deployed computer vision solutions across medical imaging, biotechnology, agriculture, remote sensing, and industrial applications. ✦ Core Specializations ─────────────────────────────────────────── ⚡ Object Detection & Real-Time Inference Custom detection pipelines built on YOLO, RT-DETR, RF-DETR & Detectron2. Single-modal and multi-modal. Optimized for speed, accuracy, and edge deployment — not just benchmark scores. ⚡ Medical & Biotech Image Analysis Classification, segmentation & prediction systems for clinical and research environments. Calibrated outputs, ordinal grading, custom loss functions designed for domain-specific constraints where off-the-shelf fails. ⚡ Multispectral & Aerial Computer Vision RGB, NIR, thermal — cross-modal fusion architectures for remote sensing, livestock monitoring & precision agriculture. Full pipeline ownership from raw sensor calibration to production-ready detection. ⚡ Video Intelligence & Motion Analysis Action recognition, temporal modeling & tracking from video. Real-time inference pipelines containerized and deployed on cloud GPU infrastructure. ✦ Technical Stack ─────────────────────────────────────────── Computer Vision: PyTorch · OpenCV · YOLO · RT-DETR · RF-DETR · Detectron2 · DINOv2 · Vision Transformers · SAM Image Processing: Camera Calibration · ChArUco · ArUco · Chessboard Calibration · Fisheye Calibration · Stereo Calibration · Image Undistortion · Image Rectification · Geometric Vision Machine Learning: Deep Learning · Classification · Segmentation · Tracking · Action Recognition · Pose Estimation · Multi-Modal Learning Deployment & MLOps: FastAPI · Docker · AWS · GCP · ONNX · TensorRT · CI/CD ✦ What to Expect ─────────────────────────────────────────── Requirements Discovery → Solution Design → Structured Milestones → Weekly Demos & Progress Updates → Production-Grade Delivery → Post-Deployment Support → Send a message with project details to get started.

Trusted by 25+ organizations across 13 countries I help organizations build and govern AI they can stand behind. Whether you need someone to architect a compliant-by-design system or to lead the governance program that keeps it accountable, I work across both the technical and the regulatory side of AI so the two actually fit together. What I bring: - AI governance & management - Stand up and run AI management systems (ISO/IEC 42001), define policies and guardrails, map obligations across frameworks, and make AI auditable and defensible to regulators, clients, and boards. - Solution architecture & delivery - Design and ship LLM/NLP pipelines, RAG systems, and full-stack solutions for document intelligence, compliance, and decision support, from drafting board to production. - Privacy & risk by design - Embed privacy engineering (CIPT) and risk controls into systems from day one, not as an afterthought. - Program leadership - Run complex technical and governance initiatives end to end with disciplined project delivery (CAPM) and cross-functional leadership. I specialize in LegalTech, Compliance, and Regulatory Tech, and the same approach applies wherever AI meets high stakes and tight rules. My work is backed by award-winning, peer-reviewed AI research, so the systems and programs I deliver are grounded in current standards, not guesswork. Certifications - AIGP (Artificial Intelligence Governance Professional) - ISO/IEC 42001 Lead Implementer (AI Management Systems) - CIPT (Certified Information Privacy Technologist) - Azure Solution Architect (certified) - CAPM (Certified Associate in Project Management) Technical & Domain Skills - AI Governance & Privacy: ISO/IEC 42001 implementation, privacy-by-design (CIPT), regulatory mapping, ethical AI guardrails, compliance-focused system design. - System Architecture: Cloud solution architecture, secure backend systems, scalable AI services, APIs. - LLMs & Document Intelligence: Contracts, policies, regulatory text, semantic search, RAG systems. - NLP + ML/DL: Classification, summarization, extraction, embeddings, graph models. - Agents: Workflow agents, reasoning agents, domain-specific task agents. - Data Expertise: Large-scale text pipelines, knowledge graphs, structured/unstructured data. - MLOps & Deployment: Azure, Docker, continuous integration for AI models. - Project Management: CAPM-certified delivery, agile methodologies, cross-functional technical leadership. Adjacent Industries Applied AI in Finance, SpaceTech, HealthTech, InsurTech, M&A, Wealth Management, Automotive, Construction.