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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 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

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.

Turning Data Into Scalable ML Models, Automated Insights & High-Impact Dashboards I am a Machine Learning Engineer and Data Analyst with over 6 years of experience having strong expertise in Python, Power BI, Generative AI, automation, and business-focused analytics. I help businesses transform raw data into accurate predictions, intelligent automation, and crystal-clear dashboards that improve decisions, reduce manual work, and increase revenue. I specialize in end-to-end solutions from data cleaning to modeling, deployment, and reporting. 🔥 What I Deliver 🤖 Machine Learning & AI Solutions Predictive modeling (sales, churn, forecasting, classification) NLP solutions (text analysis, chatbots, keywords, summaries) Recommendation systems LLM-based automation using OpenAI/HuggingFace Data preprocessing, feature engineering & model optimization Complete ML pipelines (ETL → Training → Deployment) 📊 Power BI Dashboards & Data Analytics Professional, interactive dashboards KPI tracking for Sales, Finance, HR, Operations DAX measures, advanced Power Query (M) Data modeling & building star schemas Automated data refresh workflows Turning complex datasets into easy-to-understand insights Cleaning, merging & transforming messy or large datasets ⚙️ Automation & Integrations Python scripting & process automation API integrations Workflow automation (n8n, Zapier, custom scripts) Connecting ML outputs into BI & business systems 🏆 Key Strengths ✔ Strong combination: ML + Data Analytics + Power BI I bring together Machine Learning, Data Analytics, and Power BI in one smooth workflow, giving you a complete end-to-end solution. ✔ Clear communication & reliability I provide regular updates, clear documentation, and clean, organized work. ✔ Scalable, maintainable solutions Every project is structured professionally so it can grow with your business needs. ✔ Fast delivery without compromising quality I use clean engineering practices, reusable components, and systematic workflows. 📌 Sample Results I’ve Delivered Improved forecasting accuracy by 20%–40% using ML models Automated Excel manual work → saved teams 5–10 hours weekly Built Power BI dashboards used company-wide for daily decision making Cleaned and organized large datasets (up to 500k+ rows) for analytics Created NLP tools for classification, sentiment, and text pattern detection Developed custom recommendation logic improving user engagement 🛠 Technical Skills Machine Learning: Python • NumPy • Pandas Scikit-Learn • NLP • Time Series Recommendation Models • LLM Integration (OpenAI, Hugging Face) Data & BI: Power BI • Power Query • DAX SQL • Data Modeling • ETL Data Cleaning • Visualization • KPI Reporting Tools: n8n • Excel Automation REST APIs • Git • Jupyter OpenAI API • HuggingFace Workflow Automation Scripts 🤝 Let’s Work Together If you need help with: ✔ Predictive modeling ✔ A smart chatbot or NLP solution ✔ A professional Power BI dashboard ✔ Automation of your data workflows ✔ Cleaning or analyzing large datasets ✔ Integrating AI into your business …I can build it with precision, clarity, and long-term value. 📩 Feel free to message me — I respond quickly.

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.