Full-Stack AI Lead with 15+ years of experience in AI/ML/Data Engineering. Specialist in productionizing Document AI, Agentic LLM Workflows, and Scalable Big Data systems. Master’s in Applied Mathematics. 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 & 𝐋𝐋𝐌 - Architecting production-grade agents and multi-intent workflows using LangGraph and LangChain. - Implementing NeMo Guardrails, DeepEval, and Langfuse to ensure security and near-zero hallucination rates. - Developing high-performance FastAPI backends for real-time operational data integration. 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 & 𝐎𝐂𝐑 - Specialist in extracting structure from "dirty" or non-digital sources using Visual NLP and OCR. - Lead Developer of Spark OCR. - Author and main contributor of open-source projects: Spark PDF and ScaleDP. - Expertise in document layout analysis, data extraction, and semantic search. 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐌𝐋𝐎𝐩𝐬 & 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 - Architecting scalable infrastructures using Vector DBs (Milvus, Pinecone, Qdrant). - Optimizing Apache Spark (PySpark, Streaming) and Databricks pipelines; reduced processing time from days to hours. - Implementing robust CI/CD via Databricks Asset Bundles, Jenkins, and GitHub Actions. 𝐏𝐫𝐢𝐯𝐚𝐜𝐲 & 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞 - Automated de-identification and redaction for GDPR/HIPAA. - Specialist in masking sensitive information in DICOM, PDF, and image formats. 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 AI & LLM: LangGraph, LangChain, RAG, Llama 3, Gemini, GPT-4, Vertex AI, Hugging Face, GliNER. Backend: Python, Scala, FastAPI, Node.js, PostgreSQL, MongoDB. Vector DBs: Pinecone, Milvus, Qdrant. Infrastructure: AWS, GCP, Azure, Docker, Kubernetes, Jenkins, AirFlow. Big Data: Apache Spark (PySpark, Streaming, MLlib), Kafka, Kinesis.

Hi! I’m a Python Developer with 5+ years of experience in developing apps and scripts using Python. For every app I build, I write tests with 100% code coverage. The main areas of my expertise are: Automation software: Develop scripts and GUI apps to automate any tedious, repetitive, or difficult task. Creation of bots, Reliable Notification systems, Simulation of human-like behavior during automation, Automation of WhatsApp, Youtube, Facebook, etc. Libraries used-- Selenium, pyautogui For GUI apps-- PyQt, Kivy, PySimpleGUI Web Scraping: Scraping any content of web, scripts which use proxies when needed, get contents which need javascript to be loaded, bypass various site restrictions like IP block, user agent change. Multi threads and multiple processes to scrape huge contents in a short time. Filter scraped data and store them in databases like SQLite and MySQL. Scraping of Youtube and Facebook comments as well as tweets. Libraries used-- BeautifulSoup, requests, Scrapy, Selenium, etc. Web & API Development: Develop web apps using frameworks like Django and Flask. Dynamic and Interactive sites. Generation of site stats and visitor stats from code itself. Develop REST API using flask, djangorestframework, and FastAPI. Frontend also managed with Vue.js, material CSS, bootstrap, custom CSS, etc. Libraries used-- Django, Flask, FastAPI, djangorestframework Data Analysis: Analysis of huge volumes of data using libraries like NumPy and pandas. Plotting those data and making an interactive dashboard based on that data using libraries like dash. Analysis of live data, filtering of data, filling of missing values, generating conclusions from data. Libraries used-- scipy, numpy, pandas, Dash, Plotly, etc. Machine Learning & AI: I’m also a learner and experimenter in this sector. Linear and Logistic regression models, Deep Neural Network models, and deploying those models on the web. Text summarizer and keywords generators using various APIs and libraries like nltk. Prepare models which can give excellent predictions based on data provided. Prepare scripts that can make some level of intelligent decisions. Libraries used-- PyTorch, Keras, nltk, scikit-learn Other things I have worked with: Docker, Javascript, Deploying in Cpanel, deploying sites in Linux servers, Mobile App Development, Database Management, CI/CD pipelines, Git, encryption & hashes, Virtual Machines.

🔥Web Scraping & Automation Expert | Playwright, Selenium, Scrapy, BeautifulSoup | 5+ Years | 300+ Websites Data Scraped🔥 Looking for a reliable Web Scraping & Automation expert who can extract, clean, and deliver structured data from complex websites, even those protected by modern anti-bot systems? I’m Mehdi Abidi a Web Scraping & Automation Engineer with 5+ years of hands-on experience, specializing in Python-based data extraction, browser automation, and scalable scraping pipelines for businesses that rely on accurate, up-to-date data. I help clients turn raw, unstructured web data into clean, usable datasets—saving time, reducing manual work, and enabling better business decisions. ✅ Successfully Scraped Platforms I’ve delivered production-grade scrapers for high-profile, data-heavy platforms, including: Capterra.com – SaaS listings, reviews, ratings G2.com – Software comparisons, vendor data, user reviews Zillow – Property listings, pricing, location-based data Redfin – Real estate listings, market insights These projects involved dynamic content, pagination, location filters, session handling, and rate limits. 💼 What I Do Best Web Scraping (static & dynamic websites) Browser Automation (human-like interactions) Login-Required & Session-Based Scraping Large-Scale Data Extraction Lead Generation & Market Research Data Cleaning, Validation & Structuring Automation Scripts for Repetitive Web Tasks API Discovery & Integration (where available) 🛠️ Tools & Technologies Web Scraping & Automation Selenium, Playwright Scrapy, BeautifulSoup, Requests Programming & Performance Python, Asyncio Multithreading & Multiprocessing Data Processing Pandas, NumPy CSV, Excel, JSON Google Sheets & Drive APIs Backend & APIs REST APIs FastAPI, Flask Databases MySQL, PostgreSQL, MongoDB Deployment & Workflow Docker Git / GitHub 🛡️ Anti-Bot & Protection Handling (Ethical & Professional) I work with industry-standard techniques to handle protected websites responsibly, including: CAPTCHA handling, Cloudflare-protected sites, DataDome, Imperva, Akamai, Fastly, Incapsula, Sucuri, StackPath, Session & cookie management, IP & proxy rotation, Rate limiting & request throttling, (Always respecting website terms and project requirements.) ⭐ Why Clients Choose Me ✔ Clean, well-documented, reusable scraping code ✔ Scalable solutions built for long-term use ✔ Accurate, structured, business-ready data ✔ Clear communication & on-time delivery ✔ Real experience with complex, protected websites If you need web scraping, data extraction, or browser automation using Selenium, Scrapy, or BeautifulSoup, I’m ready to help you get accurate data, fast and reliably. 👉 Send me a message and let’s discuss your project.

Got messy data and no idea what to do with it? That's where I'm here to help. I've delivered 38+ projects for 20+ clients, ranging from innovative startups to industry leaders like Adobe and the Allen Institute for AI. I specialize in combining classic NLP, quantitative analysis, and generative AI to create solutions that provide actual value rather than hype. 🏅 100% Job Success score ⭐ 5★ Rated | 100% Client Satisfaction Here's what I can help you with : ✅ Generative AI: Chatbot development, Gen-AI integration, Agentic AI & Workflows, RAG + all kinds of LLM providers (OpenAI, Gemini, Mistral, and Claude), LLM evaluation ✅ NLP: Topic modeling, Textual similarity, Sentiment analysis, Text classification, Named entity recognition, Text summarization, Text Generation, LLM ✅ Classic ML: Regression, Classification, Clustering, Anomaly Detection, Forecasting & Trend Analysis, Model Explainability ✅ Data wrangling/manipulation: Data analysis, Data cleaning, Feature engineering, Data visualization ✅ Prototype development / Proof of concepts and deployment (Streamlit + any cloud service of your choice) ✅ Web scraping: dynamic and static websites Tech Stack: - Languages: Python, SQL, Bash - ML/DL tools: TensorFlow, Keras, Scikit-Learn - NLP: Transformers, SBERT, NLTK, SpaCy, TextBlob, LangExtract, Langchain, LlamaIndex, HuggingFace, regex, OpenAI, Openrouter - Data analysis/visualization tools: Pandas, NumPy, Matplotlib, Seaborn, Plotly - Web scraping tools: Requests, BS4, Selenium - Vector Databases: ChromaDB, Pinecone, Faiss - Classic Databases: MySQL, MongoDB, PostgreSQL - Backend Engineering / API development: FastAPI, Flask - Cloud: AWS, Azure, Google Cloud Platform (GCP) - Big Data: Vertex AI, Databricks, Google BigQuery 🕑Availability: CET (willing to adjust to different time zones) I'm open to new projects/opportunities and always happy to talk! Stop building AI prototypes that fail in production, and let's create something of value instead.

Software Engineer with 6 years of experience in application development focusing on Python and .NET. Experienced in Application Development, Data Visualization, Business Automation and ETL development/optimization.

👋 Welcome to my profile! I'm deeply passionate about data and technology, which led me to pursue a career as a Data Scientist, AI, LLM, and Deep Learning Developer. Now that you're here, allow me to introduce myself fully. **Notable Projects** Real-time car detection using YOLO v6. Predictive anomaly detection with LSTM. Image classification using deep learning models. LLM implementation with the LLAMA model. **What I Can Do for You:** 🤖 Machine Learning: I can make it learn very well: ++Data visualization, Data Analysis using Python libraries like Matplotlib, Seaborn, and Pandas. ++Develop machine learning models (Regression, Classification) using algorithms such as KNN, LSTM, Random Forest, Decision Trees, Gradient Boosting, implemented in Python with libraries like Scikit-learn. ++Hyperparameter tuning using tools like GridSearchCV or RandomizedSearchCV from Scikit-learn. 🚀 Deep Learning: Let’s go deeper than ever: ++Images dataset preprocessing utilizing Python libraries like OpenCV and PIL. ++Dataset augmentation through image generation techniques like GAN (Generative Adversarial Networks), PROGAN, ADGAN implemented using TensorFlow or PyTorch. ++Develop deep learning models (CNN, RNN, Capsule Network, Graph Convolutional Network) implemented with TensorFlow or PyTorch. ++Hyperparameter tuning for deep learning models using techniques like grid search or Bayesian optimization, implemented in Python. 💬 LLM: Let’s make it Large as a LLM: ++Chatbot development based on ChatGPT or LLAMA using Python and libraries like Hugging Face's Transformers or OpenAI's GPT. ++LLM fine-tuning using Hugging Face's Transformers library or other transfer learning techniques. ++LLM deployment on web platforms or chat interfaces using frameworks like Flask or FastAPI. ++Webscraping using Python libraries like BeautifulSoup or Scrapy. 👁️ Computer Vision: Beyond the Normal vision: ++Features extraction and data analysis using Python libraries such as OpenCV and scikit-image. ++Develop models like CNN, RNN, ANN, Graph Attention Network for computer vision tasks using TensorFlow or PyTorch, Vision Transformers. 🛠️ Languages and Tools: ++Proficiency in Python for coding and scripting purposes. ++SQL for data querying and manipulation. ++Pandas and NumPy for data manipulation and numerical computing. ++TensorFlow and PyTorch for deep learning model development. ++Beautiful Soup for web scraping tasks. ++Matplotlib and Seaborn for data visualization. ++PyCharm or other IDEs for development. ++SciPy for scientific computing tasks. ++MATLAB for additional data analysis or modeling tasks. ****************************************MY Goal************************************************************* *My primary objective is ensuring client satisfaction by consistently delivering high-quality work tailored to your specific needs and expectations.

I’m an AI Engineer with 3+ years of applied experience in natural language processing, multimodal AI, computer vision, and automation with Python. My work spans from LLM-based chatbot development to image understanding systems, web scraping, and data annotation pipelines — all built with scalability and real-world applicability in mind. I’ve contributed to AI projects at leading research institutes and corporate environments, and served as an AI teaching assistant, helping students and teams implement modern AI solutions. I’ve also published research articles on artificial intelligence and am preparing for a Master’s degree in Germany to deepen my expertise in applied AI and data systems. My approach is structured, transparent, and result-oriented — ensuring that every model, dataset, and automation pipeline I build is well-documented, maintainable, and production-ready. ✨ Areas of Work & Expertise 🤖 LLM & NLP Applications: Chatbots, conversational AI, text generation, summarization, and evaluation 👁 Computer Vision: Object detection, segmentation, tracking, and image-based automation with YOLO models 🎙 Speech & Audio Processing: ASR, TTS, and audio-based classification pipelines 🔀 Multimodal AI: Vision–language–audio integration and real-world medical or industrial AI systems 🌐 Web Scraping & Automation: Python-based scraping with Scrapy, Selenium, Playwright, BeautifulSoup, and n8n workflows 📝 Data Annotation & Labeling: Dataset creation, structured labeling, and QA for NLP and CV projects 🎓 Research & Academia: AI teaching assistant, contributor to AI research publications 🔑 Keywords Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Neural Networks, Natural Language Processing (NLP), Chatbots, Large Language Models (LLMs), Generative AI (GenAI), Multimodal AI, Visual Question Answering (VQA), Explainable AI (XAI), Responsible AI, Computer Vision (CV), Object Detection, Image Segmentation, Object Tracking, YOLOv5, YOLOv8, Faster R-CNN, SSD, COCO Dataset, OpenCV, Transfer Learning, Data Augmentation, Speech Processing, Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Audio Classification, Data Science, Model Training, Optimization, Python, PyTorch, TensorFlow, Hugging Face, Transformers, LangChain, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, Web Scraping, Scrapy, Selenium, Playwright, BeautifulSoup, n8n, Automation Pipelines, API Integration, MySQL, PostgreSQL, NoSQL, FAISS, Weaviate, Pinecone, ChromaDB, PowerBI, Tableau, Git, GitHub, Docker, CI/CD, OpenAI API, ChatGPT, Google Gemini, Meta LLaMA, Anthropic Claude, Data Annotation, Dataset QA, Benchmarking. 📩 If you’re looking for an AI Engineer who can bridge data, automation, and intelligent systems with Python, I’d be happy to help you bring your project to life.

Tired of fragmented teams and boilerplate code? You've found a partner who doesn't just write software; he architects and leads. With 5+ years of experience spanning the full spectrum of modern development, I specialize in transforming ambitious visions into scalable and cost-efficient production systems. Whether you're a startup looking to bootstrap from 0 to 1, or an established company modernizing infrastructure, I deliver end-to-end ownership that drives measurable business results. My Unique Value Proposition: 𝟏. 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐌𝐚𝐬𝐭𝐞𝐫𝐲 𝐰𝐢𝐭𝐡 𝐍𝐞𝐱𝐭-𝐆𝐞𝐧 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: I operate fluently across the entire tech stack, from planning to deployment. Backend: Expertise in Node.js, NestJS (for scalable microservices), Python/FastAPI, and robust database management (PostgreSQL, MySQL, Redis). Frontend: Building dynamic, modern user experiences with React/NextJS and Angular. DevOps & Cloud: Deep experience with AWS (EC2, S3, RDS, QuickSight) and containerization using Kubernetes, ensuring your system is performant and maintainable. 𝟐. 𝐁𝐫𝐢𝐝𝐠𝐢𝐧𝐠 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐰𝐢𝐭𝐡 𝐀𝐈, 𝐌𝐋, & 𝐖𝐞𝐛𝟑: My skill set goes beyond traditional development, providing a critical advantage in emerging fields: Artificial Intelligence: Driving AI adoption and utilizing tools like the OpenAI API to build intelligent, automated systems (e.g., CSV automation that cut operator workload by 80%). Full Proficiency with PyTorch, TensorFlow, RNN/CNN, and NumPy. Blockchain/Web3: Proven track record creating secure, full-stack Web3 platforms, including Smart Contracts using and building decentralized marketplaces. 𝟑. 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐋𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩 & 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐎𝐰𝐧𝐞𝐫𝐬𝐡𝐢𝐩: I bring the mindset of a Founder and Team Lead to every project. This means focusing on Solution Architecture, cost efficiency (like migrating infrastructure for a 90% cost reduction), product strategy, and fostering technical excellence. I don't just execute tasks; I contribute to planning, GTM strategy, and operational optimization. Ready to elevate your project with an engineer who leads from the front? Let's discuss how my expertise in high-impact development, AI integration, and scalable architecture can deliver your next major win. Send a message with details about your project, and let’s start building something extraordinary.

Hi, I am an AI & Machine Learning Engineer specializing in Perception 3D, Computer Vision, Edge Computing, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Chatbot Development, Generative AI, Embedded Systems, and Firmware Development. Please get in touch if you need help with the following: • Machine Learning & Deep Learning model development • Computer Vision tasks like object detection, segmentation, and 3D reconstruction • Natural Language Processing (NLP) including text mining, sentiment analysis, and chatbots • Generative AI models for stock prediction, image inpainting, and virtual clothing • Time-Series Forecasting and Anomaly Detection • Firmware development for microcontrollers (ESP32, STM32, PIC) and IoT devices • Schematic and PCB design using Altium, KiCad, Eagle, and EasyEda • AWS IoT Core setup and cloud integration for IoT projects • Device driver development for various peripherals (I2C, SPI, etc.) • AI Deployment & MLOps with AWS, GCP, Docker, and Kubernetes • Data Analysis & Visualization for business intelligence Tools and technologies I use: • Python, C++, R, JavaScript • TensorFlow, Keras, PyTorch, Scikit-Learn, HuggingFace, LangChain • Zephyr RTOS, FreeRTOS, ESP-IDF • Flask, Django, Node.js • AWS IoT Core, GCP, Docker, Kubernetes • Altium, KiCad, Eagle, EasyEda • MongoDB, MySQL, PostgreSQL, Cloud SQL • Pandas, NumPy, Matplotlib, Seaborn, SciPy Do reach out if you need something other than this, I may be able to help out and guide.

Full Stack Developer | Python, Flask, React.js, FastAPI, OpenAI API, PostgreSQL, AWS EC2 I’m a Full Stack Developer with 8+ years of experience building high-performance, scalable web applications for startups and enterprise teams. I focus on clean architecture, fast UI, reliable backend systems, and cloud-ready deployments. What I do best • Frontend: React, Next.js, Tailwind CSS • Backend: Python (FastAPI, Flask) • Data & AI: OpenAI APIs, Groq API, NumPy • APIs: Secure REST APIs, authentication, third-party integrations • Databases: MongoDB, PostgreSQL • Data Apps & Visualization: Streamlit, Dash • Cloud & DevOps: AWS (EC2, S3, Lambda), Docker, CI/CD pipelines I’ve worked with experienced teams at Aphid Inc., Systems Ltd., and Devsinc, delivering production-ready applications used by real customers. I can help you move from MVP to a scalable, investor-ready product with confidence. Let’s build something solid and scalable.