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I am a versatile Full-Stack Developer, QA Automation Tester, and SharePoint Developer with experience delivering scalable web applications, enterprise collaboration solutions, and high-quality testing frameworks. Throughout my career, I have worked with startups, enterprise clients, and global organizations, helping teams build reliable software, automate quality assurance processes, and streamline business operations. My unique combination of development, testing, and SharePoint expertise enables me to contribute across the entire software development lifecycle—from requirements analysis and application development to automation testing, deployment, and ongoing support. 💻 Full-Stack Development I build modern, responsive, and scalable web applications using: JavaScript (ES6+) React.js Node.js Express.js HTML5 & CSS3 MySQL MongoDB RESTful API Development & Integration Authentication & Authorization Responsive UI Development API Testing & Debugging Git & Version Control I have experience designing client-side and server-side architectures, developing databases, creating APIs, and integrating third-party services to deliver complete end-to-end solutions. 🧪 QA Automation & Software Testing Manual Testing Test case design and execution using TestLink Defect tracking and management using Jira Functional, Regression, Smoke, UAT, and Usability Testing Requirements validation and gap analysis Cross-browser and cross-device testing SDLC, STLC, Agile, and Scrum methodologies Test documentation and defect triage Automation Testing (Cypress) I develop scalable and maintainable automation frameworks using Cypress and JavaScript. Core Automation Skills CSS Selectors and XPath Locators Dynamic Elements & Complex DOM Handling Assertions and Custom Validations Alerts, Confirmations, and Browser Events IFrames and Nested Frames Child Windows, Tabs, and Modal Handling Calendar and Date Picker Automation Dropdowns and Dynamic UI Components Fixtures, Environment Variables, and Test Data Management API Intercepts, Mocking, and Stubbing Custom Commands and Reusable Components Hooks (before, beforeEach, after, afterEach) File Upload and Download Validation Data-Driven Testing using JSON, CSV, and Excel End-to-End, Smoke, and Regression Test Suites Network Request Validation and Response Verification Reporting & CI/CD Mochawesome and Allure Reporting Cypress Dashboard Integration Parallel Test Execution Retry Strategies and Smart Waits GitHub Actions Bitbucket Pipelines Jenkins Fastlane API Testing Postman Collections and Newman REST API Testing (GET, POST, PUT, PATCH, DELETE) Authentication Testing (API Key, OAuth, Bearer Tokens) Schema Validation Environment Variables and Pre-request Scripts Automated API Regression Suites CI/CD Integration 🌐 SharePoint & Power Platform SharePoint Online & On-Premises Team Sites & Communication Sites SharePoint Lists and Libraries Site Navigation & Audience Targeting Hub Sites & Site Branding Excel-to-SharePoint Data Integration Calendars, Events, Metadata & Versioning InfoPath Designer SharePoint Designer 2013 Nintex Forms & Workflows SharePoint Framework (SPFx) Power Platform Power Apps Custom Forms Canvas Applications Power Automate Workflows Business Process Automation Power BI Dashboards & Reporting 🔗 Integration & Enterprise Solutions MuleSoft API Development & Integration RESTful Services System Integration Data Synchronization Workflow Automation 📌 Additional Skills Jira Project Management Agile & Scrum Methodologies Confluence Documentation Figma (UX/UI Design) Virtual Assistance Video Editing Technical Documentation 🚀 Why Clients Hire Me Full-stack development and testing expertise in one professional Strong analytical and problem-solving skills Excellent communication and documentation Focus on quality, scalability, and maintainability Experience working in Agile environments Reliable, detail-oriented, and deadline-driven Whether you need a web application built from scratch, a SharePoint solution customized, an automation framework developed, or a complete QA strategy implemented, I can help deliver results efficiently and professionally.

AI and Machine Learning Engineer specializing in developing cutting-edge solutions across Computer Vision, NLP, and Deep Learning domains. I transform complex data challenges into practical, value-driven applications that help businesses thrive in AI. 🛠️ Core Expertise: ✔️ Machine Learning & Deep Learning (CNN, RNN, YOLO, Transformers) ✔️ Computer Vision & NLP Applications ✔️ Data Analysis & Visualization ✔️ Model Development & Fine-tuning ✔️ Data Analysis & Feature Engineering ✔️ MLOps & Model Deployment & Optimization 💻 Technical Stack: • Languages: Python, MATLAB • Frameworks: TensorFlow, PyTorch, Keras • Libraries: Scikit-learn, OpenCV, NLTK, Pandas • Tools: Docker, Git, AWS, GCP, FastAPI, Django, Flask • Databases: SQL, Firebase, Supabase 🎯 What I Deliver: • Custom AI solutions tailored to your business needs • Efficient, scalable, and production-ready code • Clear communication and timely project delivery • End-to-end project implementation Ready to innovate? Let's connect and discuss how we can bring your ideas to life! 🚀 Github: github.com/IbrahemElsherif

Do you have an AI vision that needs to become a real, working product? I don't just build models; I engineer complete, scalable solutions that turn data into actionable insights and automation. For over five years, I've specialized in bridging the gap between cutting-edge Artificial Intelligence (AI) research and robust software that delivers real-world value. My core expertise lies in computer vision and machine learning, but my skill set is full-stack. This means I can own your project from the initial data pipeline, through model training and optimization, all the way to deploying a polished desktop application or a secure enterprise API. I thrive on building tools that work seamlessly for end-users, whether it's a retail manager, a traffic controller, or a sports coach. My strongest suit is developing intelligent systems that "see" and understand the world. I've built a retail analytics platform (CrowdIQ) that transforms standard CCTV into a source of business intelligence, tracking customer demographics and behavior. In the sports domain, I created PadelIQ, an analytics engine that uses computer vision to track player movement, posture, and court coverage from match footage, providing real-time coaching feedback. For public safety, I developed a traffic management system (OmniRoad AI) using advanced object detection for real-time accident and congestion monitoring. Beyond computer vision, I architect full-scale data science pipelines. A prime example is my telecom churn prediction project, where I built a machine learning model to identify at-risk customers and paired it with an interactive Power BI dashboard. This end-to-end approach—from data analysis to a clear visualization of insights—ensures the model's findings directly inform business strategy and retention actions. I also develop the tools and infrastructure that power AI applications. I've built secure, enterprise-grade systems like DevelmoGPT, a RAG-based LLM that allows for secure, semantic search over private company documents. From creating simple utilities like PDF-to-audio converters to designing complex role-based access systems, I ensure the foundation of any AI solution is reliable, secure, and maintainable. My process is collaborative and results-driven. I start by deeply understanding your business problem, not just the technical requirement. We'll then iterate through prototyping, development, and testing to ensure the final product not only meets specs but also delivers tangible ROI. I communicate clearly at every stage, providing demos and documentation so you're never in the dark. Let's connect. Share your project idea or challenge, and I'll provide a clear outline of how we can leverage AI, machine learning, or computer vision to build your intelligent solution. Click the invite button to start the conversation. /// The following is just for SEO. You can ignore it /// #computer vision #computer vision engineer #computer vision OpenCV #machine learning computer vision #deep learning computer vision #computer vision machine learning #machine learning python #nlp machine learning

AI and machine learning engineer with expertise in developing advanced NLP models, automating text analysis, and optimizing microservices design pattern recommendations. Passionate about leveraging cutting-edge Transformer-based techniques and semantic understanding to solve complex problems, enhance system efficiency, and deliver innovative solutions. Adept at data analysis, model fine-tuning, and seamless integration of AI systems into existing infrastructures to drive performance and business outcomes.

Most AI projects are impressive demos that collapse in production. I build the architectures that do not handle edge cases, eliminating hallucinations, and scaling reliably from day one. With 11 years of engineering experience, I specialize in the hard side of AI, rigorous model research, production grade system design, and full stack delivery. I do not just prompt models or wrap APIs. I build the data pipelines, memory structures, retrieval systems, and guardrails that make AI reliable enough for real business use. GENERATIVE AI & ADVANCED RAG Simple vector search is rarely enough. I engineer RAG systems that actually work in production: • Hybrid Search: combining semantic understanding with keyword precision for accurate, citation backed answers with near zero hallucinations • Semantic chunking and re ranking algorithms to ensure the model reads the right context before answering • Fine-tuning LLaMA 3, GPT, and Claude on proprietary data for domain-specific accuracy • Multi agent workflows using LangGraph and CrewAI agents that query SQL databases, browse the web, and trigger API workflows autonomously, with planning logic that keeps them on track • Production & cost optimization: caching layers and prompt compression strategies that reduce LLM API costs by 30 to 40% while improving speed • Tools: LangChain, LangGraph, CrewAI, OpenAI, Anthropic , Pinecone, Weaviate, ChromaDB, FAISS COMPUTER VISION & DEEP LEARNING For cases where off the shelf models fall short: • Custom CNNs and Vision Transformers for manufacturing defect detection, medical imaging, and document analysis • Real time object detection and tracking via YOLO, OpenCV, with WebSocket and Edge AI pipelines for live video streams and low latency market data • Model optimization: quantization, pruning, and performance tuning to run heavy models efficiently on edge devices or at cloud scale • Tools: PyTorch, TensorFlow, OpenCV, CUDA, Hugging Face Transformers, MediaPipe AI RESEARCH & MODEL EXPERIMENTATION When standard solutions don't give you the accuracy you need: • Rigorous model evaluation on real-world datasets with reproducible, well documented experiments • Performance benchmarking and ablation studies to identify what actually moves the needle • Turning research outcomes into clean, maintainable production code your team can scale confidently FULL STACK AI DELIVERY I bridge the gap where most AI engineers fail, connecting research grade backends to real user interfaces: • Frontend: Next.js (App Router), React, TypeScript, Tailwind CSS, D3.js instant load dashboards and data UIs • Backend: FastAPI, Django, Node.js robust Python APIs that handle data processing securely at scale • Real time systems: WebSockets and edge pipelines for live data without latency • DevOps: Docker, Kubernetes, AWS auto scaling infrastructure that survives traffic spikes CORE TECH STACK AI/ML: PyTorch · TensorFlow · Hugging Face · CUDA · Scikit learn · XGBoost GenAI: OpenAI · Anthropic Claude · LLaMA-3 · Mistral · Gemini Orchestration: LangChain · LangGraph · CrewAI · LlamaIndex Vector DBs: Pinecone · Weaviate · ChromaDB · FAISS Computer Vision: OpenCV · YOLO · MediaPipe · Albumentations Full Stack: Next.js · React · TypeScript · FastAPI · Django · Node.js DevOps: Docker · Kubernetes · AWS If you are tackling a hard problem that requires more than a plug and play solution, whether that is a production RAG system, a custom vision model, or a full AI powered SaaS, invite me to your job. Let's engineer something that actually works.