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Need to clean massive, messy datasets or turn raw CSV/SQL tables into high-impact interactive dashboards? Stop losing time. I build automated Python pipelines and Power BI visuals that handle millions of rows without breaking. As an Engineering Student, I bridge the gap between complex algorithmic engineering and real-world business needs. Backed by strong analytical roots (ranked 8th in my regional Baccalaureate) and a unique digital health engineering background, I bring maximum rigor, adaptability, and high energy to every project! ⚡ Here is how I can skyrocket your project: 📊 DATA SCIENCE, ANALYSIS & BUSINESS INTELLIGENCE • Production Pipelines: Advanced data cleaning (KNN, IQR), web scraping, ETL, and data modeling in Python. Expert in handling complex data without record loss. • Hospital Data Analytics: Processed a real-world hospital dataset of 878,620 rows, designing an end-to-end cleaning pipeline that handled 58% raw duplicates and optimized data features using CatBoost. • Interactive Dashboards: Designing high-impact, live-tracking BI dashboards (Power BI, Node-RED, Looker Studio, ipywidgets) to refresh metrics every 30 minutes and turn raw numbers into business decisions. • Certified Trust: DataCamp Certified "Python Data Associate" (June 2026) & Intermediate Python Specialist. 🧠 GENERATIVE AI, DEEP LEARNING & TINYML • Generative AI: Built advanced deep learning frameworks (DCWGAN-GP & VQ-VAE) in Python, augmenting rare datasets by +43% with zero mode collapse. • Edge AI & TinyML: Deployed lightweight anomaly detection models directly onto ESP32 microcontrollers via Edge Impulse for real-time local processing. 🌐 IOT, AUTOMATION & REAL-WORLD LOGISTICS • Connected IoT Analytics: Built distributed systems utilizing MQTT brokers to sync hardware sensors with automated alert mechanisms. • Process Optimization: Modeled structured business processes (BPMN/ARIS) to design smart applications featuring secure pipelines and tracking tools. • Community Engagement: Experienced Logistics & Data volunteer at "Les Restos du Cœur", managing high-volume supply tracking and inventory databases. 🔥 WHY WORK WITH ME? I am agile, results-driven, and fully operational in Python, C++, and modern database tools. Whether you need a predictive tool, an automated data pipeline, or an intelligent dashboard, I dive in headfirst to deliver clean, documented, and reliable code 24/7. The tech landscape moves fast—let’s jump on a quick chat and bring your data vision to life today!

If you’re looking for an AI engineer who can design LLM and NLP systems that actually work in production, I build intelligent assistants, Chatbots, RAG pipelines and document answering tools that deliver accurate, reliable, enterprise grade results. Clients hire me to turn unstructured text, PDFs and domain knowledge into powerful AI systems that answer questions through grounded context. I’ve built LLM applications for EdTech, healthcare, HR and analytics startups across France, Netherlands and Germany. One client described me as “the best AI engineer I’ve worked with on Upwork” after I rebuilt their deep learning pipeline, fixed data leakage and pushed test accuracy beyond 90 percent. How I can help you: • Custom LLM assistants for your domain • Retrieval Augmented Generation (RAG) systems using your internal documents • Document Q&A pipelines for PDFs, reports, multilingual text and structured outputs • Chatbots for customer support, HR, education or internal workflows • Prompt engineering and evaluation frameworks for consistent results • FastAPI based backends, secure API deployment, and lightweight local LLM setups • Multi agent workflows, vector databases and orchestration with LangChain and LangGraph Tech I work with: Python, LangChain, LangGraph, HuggingFace, OpenAI API, FastAPI, FAISS, Chroma, PyTorch, TensorFlow, Google Cloud, Vertex AI, DeepL, SQLAlchemy Some results I’ve delivered: • Built a RAG system for medical text extraction that improved retrieval accuracy by 40 percent • Developed a multilingual document Q&A bot with memory and structured outputs adopted by analysts • Created an HR assistant with prompt versioning and evaluation tools that reduced response time 60 percent • Delivered AI assistants for educators that automate content review and student response analysis Why clients work with me: • Clean, documented, production ready engineering • Clear communication with both technical and non technical teams • Realistic timelines and solutions grounded in practical deployment • Experience in healthcare, EdTech, HR and enterprise document Let’s get started: Share your problem and a sample of your data. I’ll map out a simple action plan, suggested architecture and timeline so you know exactly how we’ll approach it. Keywords: LLM, NLP, RAG, Chatbot, Document AI, AI Automation, LangChain, LangGraph, Vector Database, Custom AI Assistant, Python, FastAPI, OpenAI.

As a French Quantitative Algorithmic Trader with dual MSc degrees (Quantitative Finance; Mathematics Applied to ML/DL) and 4+ years of experience, I specialize in building and optimizing end-to-end algorithmic trading systems with a strong focus on backtest quality, strategy design, and deployment readiness. I excel in translating advanced Quantitative Research and Trading Strategies into production-grade Python trading pipelines that deliver consistent, risk-adjusted returns across different asset classes. Core Expertise: Robust Backtesting & Validation - Designed rigorous k-fold walk-forward validation protocols to ensure model generalization and robustness. - Specialized in high-fidelity backtesting frameworks (5+ years of tick/minute data) with transaction costs, slippage, and execution modeling. - Optimised take profits, stop losses and size to improve returns, Sharpe Ratio and Calmar Ratio. Algorithmic Trading Systems in Python : - Proficient in integrating ML/DL models, RL agents, and signal ensembles into live-ready trading codebases. Strategy Design & Innovation - Experienced in alpha factor research, systematic strategy design, and multi-horizon forecasting. - Skilled at combining quantitative finance models (Heston, SABR, volatility surfaces) with modern ML/DL architectures (Transformers, GNNs, RL). Machine Learning & Reinforcement Learning for Trading : -Built RL-based trading agents (PPO, DQ-Net + TFT) achieving Sharpe 1.95 and 20% alpha on BTC spot forecasting. - Developed multi-model ensembles (TFT + Graph Neural Networks) for volatility and alpha prediction. Data Engineering & Feature Integration - Engineered complex feature sets from OHLCV, on-chain metrics, sentiment data (Twitter, Reddit, News), and cross-asset signals. Key Project Highlights: -BTC Perpetual Futures – Live Algo: Designed and deployed a Python strategy achieving Sharpe 1.6 and Calmar 1.6 after costs, with 15% outperformance vs benchmark returns over live trading horizon. - SPY Futures – Multi-TF FVG Strategy: Built a multi-timeframe Fair Value Gap model with positive Sharpe/Calmar, demonstrating robustness and adaptability to equity index futures. -Developed RL agents ( DQ-Net with TFT) with Sharpe 1.95 Calmar 1.6 and 20% alpha in crypto spot forecasting. Technical Toolkit: Languages: Python ML Frameworks: PyTorch, TensorFlow, scikit-learn, Optuna, Vectorbtpro, RLTrading Data Tools: pandas, numpy Domains: Equity index, Crypto/Altcoin Markets, Time-Series Forecasting, RL, Risk Management Education: - MSc Quantitative Finance (Paris Saclay) - MSc Mathematics Applied to Machine Learning & Deep Learning (ENSIIE)

Hey there! I'm Taha Yassine, your go-to expert in Computer Vision, Machine Learning, and Deep Learning engineering. With a passion for cutting-edge technology and a knack for solving complex problems, I have worked on 10+ complex computer vision projects, bringing a lot of experience to the table. In the realm of Computer Vision, I specialize in developing robust algorithms for object detection, image classification, facial recognition, and semantic segmentation. Whether it's detecting anomalies in medical images or enhancing surveillance systems for security applications, I thrive on pushing the boundaries of what's possible. My expertise extends to Machine Learning and Deep Learning, where I have a proven track record of building and deploying scalable models for various domains, including healthcare, finance, and retail. From predictive analytics to natural language processing, I leverage state-of-the-art techniques to extract meaningful insights and drive actionable results. What sets me apart is my commitment to delivering high-quality solutions tailored to your specific needs. I take pride in collaborating closely with clients to understand their requirements, ensuring that the end product exceeds expectations. Let's collaborate to bring your vision to life. Whether you need assistance with a one-time project or ongoing support, I'm here to help you harness the power of AI and advance your business objectives. Get in touch, and let's make magic happen!

Hello! I’m Amine Zniyed, a passionate engineer and data scientist with a strong background in signal processing, numerical simulation, and machine learning. I help businesses and research teams turn complex data into actionable insights and efficient solutions. What I Do Best: Signal & Image Processing: Advanced experience in de-noising, reconstruction, segmentation, and feature extraction using both classical and deep learning methods. Numerical Simulation: Skilled in developing, optimizing, and analyzing simulations for physics, engineering, and scientific applications. Machine Learning & AI: Proficient in designing and training neural networks (PyTorch, TensorFlow), including deep unfolding and U-Net architectures for image and signal tasks. Programming & Performance Optimization: Expert in Python and C++ for scientific computing, with hands-on experience leveraging GPUs (CUDA, OpenCL) for high-performance applications. Algorithm Development: Strong foundation in applied mathematics, Bayesian methods, and optimization techniques for robust, scalable solutions. Why Work With Me? I combine rigorous scientific training (INSA Rennes, Université Paris-Saclay, CNRS) with practical engineering experience (Astek, research labs). I communicate clearly and deliver well-documented, reproducible code. I’m passionate about solving challenging problems and always eager to learn new technologies. Let’s Work Together! If you need a reliable expert to analyze your data, build custom simulations, or develop cutting-edge machine learning solutions, let’s connect. I look forward to helping you achieve your goals!

I build automation systems that remove manual work for good. Fragmented spreadsheets, copy-paste routines, and disconnected tools become one reliable, data-driven operation - designed to scale with your business. With a dual background in Automation Architecture and Data Science (Le Wagon), I design high-reliability workflows using Monday, Make, n8n, APIs, and AI-powered logic. I bring both operational understanding and strong technical execution: I speak the language of your team, not just the language of your tools. What I do best : Monday (Expert level - Advanced Workflow & Work Management badges) - CRM builds: sales pipelines, onboarding, suppliers, support - Process architecture, board ecosystems, connected databases - Automations that eliminate manual updates - Role-based dashboards with real visibility - Naming conventions, templates, board hygiene & SOPs Make (Advanced certified) - Complex scenarios with routers, aggregators, and iterators - JSON/array handling, custom API calls (REST & GraphQL) - Error handling and retries to prevent data loss - Automated generation of quotes, invoices & documents (HTML to PDF) - Deep integrations: Google Drive, Sheets, Gmail, QuickBooks n8n (Advanced - AI-first automation) - Self-hosted and cloud workflows for full data control and lower running costs - AI agents: OpenAI integrations, RAG pipelines, intelligent routing and classification - Custom code nodes (JavaScript/Python) when native modules aren't enough - Webhook-driven architectures connecting CRMs, databases, and internal tools - Migration and hybrid setups: choosing the right platform (Make vs n8n) for each use case Data Science mindset (Le Wagon - Data Science & AI) - Structural thinking and clean data modeling - Python for data processing and custom logic - Rigorous troubleshooting and debugging - Documentation your team can actually follow Recent client work (simplified for confidentiality) - Built a full operational CRM managing sales, suppliers, orders, deliveries, and support - Automated invoice extraction from PDFs, generating cost sheets and financial documents - Designed internal process architecture with code-matching and API/webhook logic - Migrated teams from spreadsheets to Monday with dashboards, automations, and templates - Automated onboarding sequences, franchise communication, ticketing flows, and reporting - Built AI-powered document processing flows turning unstructured files into structured, usable data Every system is delivered with clear documentation, error-proof logic, and room to grow. Tools I work with : Monday, Make, n8n, Python, OpenAI, Google Drive/Sheets, Gmail, Notion, Airtable, REST & GraphQL APIs, QuickBooks, HTML-to-PDF systems Who I work best with : - Teams that want to cut manual work and gain efficiency - Agencies needing solid, maintainable automation infrastructure - Businesses moving from spreadsheets to structured systems - Clients who value clean processes, reliability, and long-term thinking If you need a partner who understands both operations and automation logic, let's talk. Shoot me a message and tell me about your project.