Hi, my name is Eduard, I'm a skilled and dedicated Back-end developer with 4 years of experience in software development from concept to support and maintenance. 🐍 Proficient Python 🌟 Web framework maestro: FastAPI, Django/DRF, Flask 📌 AWS 🗨️ I bring a strong foundation of experience with various popular frameworks, enabling me to carefully select the most suitable tools for crafting high-quality user interfaces tailored to your specific requirements. My proficiency in these frameworks allows for greater flexibility and adaptability in design and development. - FastAPI, Django/DRF, Flask, SQLAlchemy, Numpy/Pandas; - SQLite, MySQL, Microsoft SQL, PostgreSQL; - NoSQL - Redis; - HTML, CSS; - Git, GitHub, GitLab; - Agile, Scrum, Kanban, Waterfall, Pair Programming; 🤝 Effective communication and teamwork is my secret weapon, and it’s essential for the success of my missions. I value knowledge-sharing and the synergy that comes from working with diverse talents. I'm a proactive problem solver and continuously seek innovative solutions to enhance work quality. Whether as part of a team or working independently, I'm dedicated to delivering exceptional results and contributing to the success of projects.

𝗔𝗿𝗲 𝘆𝗼𝘂 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝗮 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 𝘄𝗵𝗼 𝗰𝗮𝗻 𝘁𝘂𝗿𝗻 𝗿𝗮𝘄 𝗱𝗮𝘁𝗮 𝗶𝗻𝘁𝗼 𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗯𝗹𝗲 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗮𝗻𝗱 𝗮𝗰𝗰𝘂𝗿𝗮𝘁𝗲 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻𝘀? As a Data Scientist, I help businesses with Data Analysis, Machine Learning, and Python Data Analytics to transform raw data into actionable insights, build Sales Forecasting models, Customer Churn Prediction systems, and deliver clear Business Intelligence dashboards. With hands on experience in data cleaning, exploratory data analysis (EDA), feature engineering, and machine learning model development, I build reliable solutions that help businesses understand their data and predict future outcomes. I specialize in analyzing messy datasets, building predictive models, and presenting results through clear visualizations and business focused insights. 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: ☑ Data Cleaning & Data Preprocessing ☑ Exploratory Data Analysis (EDA) ☑ Predictive Modeling & Sales Forecasting ☑ Customer Churn Prediction ☑ Data Visualization & Business Intelligence Dashboards 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗜 𝗣𝗿𝗼𝘃𝗶𝗱𝗲: ☑ End to End Data Analysis Projects ☑ Machine Learning Models for Prediction & Classification ☑ Sales Forecasting & Time Series Forecasting ☑ Customer Churn Prediction & Business Analytics ☑ Business Intelligence & Data Dashboards ☑ Sentiment Analysis (NLP Projects) 𝗧𝗼𝗼𝗹𝘀 𝗜 𝗨𝘀𝗲: ☑ Programming: Python ☑ Data Analysis: Pandas, NumPy ☑ Data Visualization: Matplotlib, Seaborn ☑ Machine Learning: Scikit-learn ☑ Databases: SQL ☑ Model Evaluation: Accuracy, Precision, Recall, F1 Score, MSE, R² 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲: ☑ Strong analytical and problem-solving skills ☑ Clear communication and well structured work ☑ Focus on delivering real business value from data ☑ Clean, organized, and well documented code ☑ Reliable, detail oriented, and deadline-focused 𝗠𝘆 𝗪𝗼𝗿𝗸 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵: I focus on understanding the business problem first, then applying the right data analysis and machine learning techniques to deliver practical and actionable results. ☑ Clean and structured analysis ☑ Transparent communication during the project ☑ High quality, reproducible results 𝗜𝗳 𝘆𝗼𝘂 𝗻𝗲𝗲𝗱 𝗵𝗲𝗹𝗽 𝘄𝗶𝘁𝗵 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀, 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴, 𝗣𝘆𝘁𝗵𝗼𝗻 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀, 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴, 𝗼𝗿 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀, 𝗜 𝘄𝗼𝘂𝗹𝗱 𝗯𝗲 𝗵𝗮𝗽𝗽𝘆 𝘁𝗼 𝗵𝗲𝗹𝗽. Let’s turn your data into valuable insights. I look forward to working with you. Many Thanks! Mudassar

- I possess a rare combination of four complementary skill sets: web development, web scraping, machine learning, and quantum computing, enabling me to bridge software engineering, data-driven solutions, and emerging computational technologies. - 6 years of experience in Python-based machine learning & quantum computing. I have earned IBM digital badges in Quantum Machine Learning and Basics of Quantum Information, along with a Microsoft badge in Quantum Computing Foundations, demonstrating my commitment to advancing my knowledge in quantum technologies and their applications. - 15 years in web development (PHP, JavaScript, HTML, CSS), including - 14 years in WordPress programming including performance optimization & server administration and 13 years in Magento & Shopify. - Proven ability to deliver high-ranking, SEO-friendly websites without additional SEO efforts. - Fluent in English. - Strong knowledge in mathematics, physics, machine learning, and quantum computing, with advanced interdisciplinary expertise in complex systems enabling precise decision-making, efficient problem-solving, high efficiency, and consistently reliable results. ///// Due to space limitations, I highlight only the most advanced and most essential skills across my broad expertise. ///// Wordpress / Woocommerce / Shopify / Magento: * As I work with highly complex fields such as machine learning and quantum computing, working with these CMS platforms has become relatively straightforward for me. * With over 13 years of experience on magento/shopify and 14 years on wordpress/woocommerce, I am confident in my ability to meet all your requirements. I am capable of handling all aspects of these CMS platforms. I have developed several highly complex WordPress/WooCommerce websites using Elementor, some of which required over a year to complete. Kindly review the "In Progress" section of my profile to view my ongoing projects. As I work with highly complex systems such as machine learning and quantum computing—which require rigorous mathematical reasoning, deep abstraction, and advanced problem-solving—CMS platforms have become straightforward for me due to the comparatively lower level of complexity and predictable architecture they involve. My experience and skills make me distinctive. Page speed optimization skill (Wordpress / Woocommerce / Shopify / Magento): With over 13 years of experience in WordPress programming and speed optimization, I can boost your site’s performance to achieve 100% scores, sub-1-second load times, and green Core Web Vitals for both mobile and desktop on Google PageSpeed Insights and GTMetrix. My optimization efforts will make your website load at the fastest possible speed, typically under one second. Additionally, I address Core Web Vitals issues, including Largest Contentful Paint (LCP), First Input Delay (FID), and Cumulative Layout Shift (CLS), as reported in Google Search Console. Website speed is influenced by both the web server and website content. As an advanced-level programmer with expertise in complex systems such as Magento and Python machine learning, I optimize both the website and the web server using my extensive knowledge. This advanced-level expertise is crucial for achieving the fastest possible load times for your website. On-site SEO & Security: Experienced in WordPress on-site SEO, improving rankings, traffic, and performance through keyword research, meta optimization, schema, internal linking, and speed optimization. Skilled with Yoast SEO, Rank Math, and custom solutions for complex sites. I also ensure strong security via server hardening, firewalls, malware protection, and secure authentication. I integrate SEO, performance, and security to achieve lasting gains in Core Web Vitals, rankings, and conversions. Machine Learning and Quantum Computing: Over the past six years, I have been deeply engaged in the fields of machine learning and quantum computing. My passion for mathematics and physics, however, began in childhood and has driven a lifelong pursuit of knowledge in these areas. This strong foundation has enabled me to develop advanced expertise in both machine learning and quantum computing. Decision-making and problem-solving sill: Decision-making is a critical yet often overlooked skill in website development, essential at every stage—from selecting CMS, themes, plugins, and servers to implementing efficient PHP, CSS, HTML, and JavaScript for optimal performance and SEO, as well as solving development challenges. With over 15 years of freelance experience, I have seen many poorly built websites caused by suboptimal decisions. Alongside my strong programming background, I am also advancing my knowledge in physics and mathematics, which enhance analytical thinking, problem-solving, and decision-making.

I help businesses turn data into predictive insights, automated workflows, and intelligent decision support systems. As a Data Scientist and Machine Learning Engineer, I specialize in predictive analytics, forecasting, machine learning, Python development, and business intelligence. I build end-to-end solutions that transform raw data into actionable outcomes, helping organizations improve decision making, uncover opportunities, and automate data-driven processes. Recently, I developed a Real-Time Sports Analytics & Prediction Platform that processed live sports data and betting market information across NBA, NFL, MLB, and NHL. The platform integrated live APIs, machine learning models including XGBoost, Random Forest, and LSTM, SHAP explainability, Monte Carlo simulations, automated reporting, and a custom PyQt6 desktop application. It delivered real-time predictions, probability estimates, betting odds analysis, and interactive analytics through a production-ready user interface. Core Expertise • Machine Learning & Predictive Analytics • Forecasting & Time Series Analysis • Python Development & Automation • SQL & Data Engineering • API Integration & Data Pipelines • Business Intelligence & Dashboard Development • Statistical Analysis & Feature Engineering • Data Visualization (Power BI, Tableau, Matplotlib) • Model Evaluation, Explainability & Optimization What I Can Help You With • Build machine learning models that predict outcomes and support business decisions • Develop forecasting solutions for sales, demand, operations, finance, and performance analytics • Create automated reporting systems and executive dashboards • Design and optimize data pipelines, ETL workflows, and API integrations • Analyze large datasets to uncover trends, opportunities, and risks • Build custom analytics applications and end-to-end data products using Python Tools & Technologies Python, SQL, Pandas, NumPy, Scikit-learn, XGBoost, LSTM, Power BI, Tableau, PyQt6, REST APIs, Statistical Modeling, Forecasting, Machine Learning, Data Visualization, Feature Engineering, SHAP, Monte Carlo Simulation If you're looking for someone who can combine analytics, machine learning, forecasting, and software development to solve complex business problems, I'd be happy to discuss your project and propose a practical solution.

I am an AI Engineer and Web Scraping expert who helps businesses automate complex workflows and extract hard-to-reach data. Unlike generic scripts that break easily, I build production-grade solutions that handle edge cases and scale with your needs. What I can build for you: → AI Agents: Custom chatbots and agents that can perform tasks, not just answer questions. Experience with LangGraph, RAG, and Vapi for voice agents. → Workflow Automation: I'll automate your tasks with n8n by creating custom workflows that integrate third-party APIs, handle complex logic, and trigger AI agents. → Web Scrapers: High-efficiency scrapers for dynamic websites (JavaScript-heavy, infinite scroll) and anti-bot protected domains. → Machine Learning and NLP: I'll build and fine-tune models for NLP tasks (Entity Extraction, Summarization) using PyTorch, TensorFlow, and HuggingFace Transformers. Tech Stack Languages: Python, C++, SQL Machine Learning: PyTorch, TensorFlow, Transformers, scikit-learn, OpenCV Generative AI & LLMs: LangChain, LangGraph, OpenAI API, RAG, ChromaDB, LanceDB, Pydantic AI, Mem0 Data Analysis: pandas, NumPy, Matplotlib, seaborn, Streamlit Backend: FastAPI, Flask, PostgreSQL, REST APIs, Postman, GCP Web Scraping & Automation: Scrapy, Selenium, Playwright, BeautifulSoup4, Requests Tools: Git, Bitbucket, Docker, Jupyter Notebook I am available for both short-term fixes and long-term development. Let's connect and get your automation running.

I build production-ready Generative AI systems — intelligent chatbots, multi-agent pipelines, enterprise RAG systems, LLM-powered APIs, and voice agents — that automate real business workflows and deliver measurable outcomes at scale. ✅ 90% chatbot accuracy improvement ✅ 70% LLM hallucination reduction ✅ 10,000+ concurrent users in live production ✅ 5+ years AI / Python engineering 🤖 AI AGENTS & VOICE AGENTS 🔹 Agentic frameworks: LangGraph, CrewAI, AutoGen, multi-agent orchestration, tool use, persistent memory 🔹 Voice agents: ElevenLabs, Deepgram, Amazon Polly, Azure AI Speech, Retell AI, Whisper STT/TTS, LiveKit, Rasa AI, conversational IVR 🔹 Business automation: n8n, Make, Zapier with LLM backends, CRMs, and enterprise data — lead qualification, document routing, zero-touch workflows 📚 RAG SYSTEMS & VECTOR DATABASES 🔹 Frameworks: LangChain, LlamaIndex, LangGraph, LangServe, LangSmith — end-to-end retrieval pipeline design and deployment 🔹 Vector stores: Pinecone, ChromaDB, FAISS, Qdrant, Weaviate, Milvus, PGVector — ingestion, chunking, embedding pipelines 🔹 Retrieval: hybrid search, BM25 fusion, cross-encoder re-ranking, parent-child chunking, semantic caching, RAGAS / TruLens / DeepEval 🔹 Embeddings: OpenAI text-embedding, Sentence Transformers, Cohere, BGE, E5 🧠 LLM FINE-TUNING & OPEN-SOURCE MODELS 🔹 Fine-tuning: PEFT, LoRA, QLoRA, RLHF, DPO, SFT — Unsloth, Axolotl, HuggingFace AutoTrain, SageMaker, synthetic dataset generation 🔹 Open-source LLMs: LLaMA 3/4, Mistral, Mixtral 8x7B, Phi-3, DeepSeek, Qwen, Gemma, Falcon, CodeLlama 🔹 Quantization: AWQ, GPTQ, GGUF, INT4, INT8, PTQ — cost and latency optimized deployment 🔹 Fast inference: vLLM, TGI, TensorRT-LLM, Ollama, llama.cpp, BitsAndBytes ✍️ PROMPT ENGINEERING & LLM DESIGN 🔹 Multi-turn, few-shot, zero-shot, chain-of-thought, tree-of-thought, structured outputs, function calling, tool use, programmable pipelines 🔹 Hallucination reduction — grounding, citation enforcement, confidence scoring, output validation with Pydantic / Guardrails AI 🚀 LLM DEPLOYMENT PLATFORMS 🔹 AWS SageMaker, Hugging Face Inference API, Replicate, RunPod, Modal, GCP Vertex AI, Azure AI Services, Vercel AI SDK, Google Cloud Run 🐍 BACKEND & API DEVELOPMENT 🔹 Python: FastAPI, Django, Flask — async, microservices, background workers, streaming APIs, WebSockets 🔹 Node.js: Express.js, Nest.js — real-time, event-driven, REST and GraphQL APIs 🔹 API design: REST, GraphQL, OpenAPI, OAuth2, JWT, API Gateway, rate limiting, webhooks 🔹 Databases: PostgreSQL, MongoDB, Redis, MySQL, Firebase, DynamoDB, Supabase — schema design, query optimization 🔹 Task processing: Celery, APScheduler, RQ — async batch pipelines, queue management, retry logic 🔹 Web scraping: Crawl4ai, Playwright, Selenium, BeautifulSoup, Scrapy, Puppeteer 🔬 ADVANCED AI, NLP & DOCUMENT AI 🔹 NLP: Transformers, HuggingFace, SpaCy, NLTK — entity extraction, classification, summarization, intent detection 🔹 Document AI: OCR, PDF parsing, Gemini document parsing, Tesseract, Unstructured, table and form extraction 🔹 ML libraries: PyTorch, Scikit-learn, NumPy, Pandas, Matplotlib, Plotly 🔹 AI evaluation: RAGAS, TruLens, DeepEval, LLM-as-judge, A/B testing, retrieval benchmarking 🔹 Low-code AI: Flowise AI, LangFlow, StackAI ☁️ CLOUD & DEVOPS 🔹 AWS: EC2, S3, Lambda, RDS, ECS, EKS, SageMaker, API Gateway, CloudFront, Bedrock, SNS, SQS 🔹 Containers: Docker, Kubernetes, Docker Compose, NGINX, Gunicorn 🔹 CI/CD: GitHub Actions, GitLab CI, Jenkins — zero-downtime deployments 🔹 IaC: Terraform, CloudFormation 🔹 Multi-cloud: Azure AI Services, GCP AI Platform, Vertex AI, Google Cloud Run 🏗️ PRODUCTION PROJECTS DELIVERED ◆ Intelligent Workspace Assistant — Multi-source RAG platform aggregating Google Workspace, Microsoft 365, and Notion. Built with LangChain, Pinecone, FastAPI, Gemini, and OAuth2. Natural language querying with dynamic tagging and cross-platform retrieval. ◆ Real Estate Intelligence Platform — LLM-powered document parsing, automated competitor scrapers, and city-level market analytics on AWS with Docker and GitHub Actions CI/CD. ◆ AI Meal Plan Generator — Hybrid AI backend with async batch processing for 10,000+ weekly users, automated PDF pipeline, and AWS S3 storage. 🏢 INDUSTRIES SERVED Healthcare · Real Estate · SaaS · FinTech · eCommerce · Legal Tech · EdTech · Logistics · Hospitality · Enterprise Automation 💡 WHY CLIENTS CHOOSE ME → Production-grade code from day one — Docker, CI/CD, async, fully tested — not demos → Real metrics behind every claim — accuracy, latency, uptime, load benchmarks documented → Always current — actively shipping with GPT-5, Claude 4, Gemini 3, LLaMA 4 on live projects → End-to-end ownership — design, build, deploy, monitor. 📩 Building an AI product? Need a RAG system, AI agent, or automation pipeline? Message me with your use case —I respond within 24 hours with a clear breakdown of approach, timeline, and and exactly what you can expect to ship.

🧠 𝗜 𝗯𝗿𝗶𝗱𝗴𝗲 𝘁𝗵𝗲 𝗴𝗮𝗽 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝗰𝘂𝘁𝘁𝗶𝗻𝗴-𝗲𝗱𝗴𝗲 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗮𝗻𝗱 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲-𝗚𝗿𝗮𝗱𝗲 𝗿𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆. I am not just a developer; I am a 𝙎𝙚𝙣𝙞𝙤𝙧 𝘼𝙄 𝘼𝙧𝙘𝙝𝙞𝙩𝙚𝙘𝙩 𝙖𝙣𝙙 𝙛𝙤𝙧𝙢𝙚𝙧 𝙋𝙬𝘾 𝘿𝙞𝙧𝙚𝙘𝙩𝙤𝙧 with over 12 years of experience leading data science teams and delivering complex machine learning solutions for Fortune 500 clients, Federal agencies, and startups. If you are looking to build scalable AI systems, integrate LLMs into your business processes, or require high-level strategy to navigate the AI landscape, I bring the rigorous standards of Big 4 consulting combined with the agility of a technical founder. 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐫𝐢𝐧𝐠 𝐭𝐨 𝐘𝐨𝐮𝐫 𝐏𝐫𝐨𝐣𝐞𝐜𝐭: - Executive-Level Expertise: As a former Director of AI & Analytics at PwC, I understand how to align technical code with business KPIs. I don't just build models; I build solutions that drive revenue and efficiency. - Deep GenAI & LLM Mastery: Expertise in RAG (Retrieval-Augmented Generation), Prompt Engineering, Fine-tuning, and Agent-based workflows using OpenAI, Anthropic, and open-source models. - Full-Spectrum Data Science: My background spans the entire data lifecycle-from complex ETL and Data Engineering (SQL/NoSQL) to advanced Deep Learning, NLP, and Graph Theory. - Academic Rigor: With a background from Carnegie Mellon University (CMU) and experience as an Adjunct Professor, my work is grounded in solid mathematical and architectural principles. 𝐂𝐨𝐫𝐞 𝐂𝐨𝐦𝐩𝐞𝐭𝐞𝐧𝐜𝐢𝐞𝐬 & 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬: 🚀 Generative AI & LLM Integration - Building custom RAG pipelines to let AI chat with your company data. - AI Agents and automation workflows (LangChain, AutoGPT). - Fine-tuning LLMs for specific industry verticals. 🤖 Advanced Machine Learning & NLP - Natural Language Processing (Entity Recognition, Sentiment Analysis, Topic Modeling). - Deep Learning (RNNs, LSTMs, CNNs) for complex prediction tasks. - Recommendation Systems (Collaborative Filtering, Graph-based similarity). 📊 Data Strategy & MLOps Designing scalable AI architecture. Auditing existing codebases for efficiency and scalability. Translating vague business requirements into technical roadmaps. 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐭𝐚𝐜𝐤: AI/ML: Python, TensorFlow, PyTorch, Keras, Scikit-Learn, Spacy, LangChain, OpenAI API, Hugging Face. Data Engineering: Pandas, NumPy, SQL, Graph Databases (Neo4j), Vector Databases (Pinecone, Milvus). Visualization & BI: Tableau, PowerBI, D3.js, Jupyter. Backend & Deployment: Docker, AWS, Azure, Flask/FastAPI. 𝙒𝙝𝙮 𝘾𝙝𝙤𝙤𝙨𝙚 𝙈𝙚? Most freelancers can write a script. I engineer systems. My career has been built on solving the "impossible" problems for massive organizations like the Federal Reserve, HP, and major healthcare providers. Whether you are a startup needing a technically sound MVP or an enterprise needing a complete AI overhaul, I deliver code that is clean, documented, and production-ready. 𝗟𝗲𝘁’𝘀 𝗱𝗶𝘀𝗰𝘂𝘀𝘀 𝗵𝗼𝘄 𝘄𝗲 𝗰𝗮𝗻 𝗹𝗲𝘃𝗲𝗿𝗮𝗴𝗲 𝗔𝗜 𝘁𝗼 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺 𝘆𝗼𝘂𝗿 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀.

Need a web scraping expert who can also build the backend around your data? I have 5 years of experience solving difficult extraction tasks, browser automation (Selenium, Playwright), session/cookies. I’ve built scrapers and data pipelines for different websites, where scraping is allowed. I always keep terms of service and do ethical scraping. I can deliver results in CSV, Excel, Google Sheets, send to your API, or ship the scraper itself. Just write me! Recent projects: • Scraped 200k car listings for an ML price prediction model using multiprocessing. • Built a content-harvesting backend (pipelines + Google Drive/Sheets) used in production. • Led a Django project that scrapes 100k+ content items (videos, articles, etc.) per week. • Developed an internal Python library for PostgreSQL via asynchronous SQLAlchemy. • Reviewed and fixed a client’s FastAPI project to improve reliability and speed. • Built automation tools for various websites. • Scraped transcripts for YouTube via an official YouTube API. Tech stack: • Python 3.12+, SQL; asyncio and multiprocessing for fast crawling • Scraping: Beautiful Soup, Scrapy, aiohttp, requests; Selenium, Playwright; HTML, CSS, XPath, JSON, • Backend: FastAPI, Django; JWT, OAuth2; PostgreSQL, SQLAlchemy (sync/async), SQLite, Alembic; Redis • Data & automation: Pandas, NumPy; Google Sheets/Drive; Telegram API (Telethon, python-telegram-bot); OpenAI GPT API • Dev & ops: Docker, CI/CD, GitLab, GitHub; pytest If you need parsing, scraping, crawling, data extraction, data mining, or an automation script, just send 1-2 target URLs and a sample of the desired output columns. I’ll propose the best approach, the anti-bot plan, and a quick prototype. I always keep the terms of service. I also handle data cleaning and enrichment with Pandas, plus ETL pipelines, so you get ready to use datasets. As a Python developer who cares about code quality, I write clean, readable code that follows PEP8 and OOP principles, and I cover key parts with tests for long-term stability. Send me a brief description and technical requirements of your project, and I’ll solve your problem!

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)

Hi, I’m a Full-Stack Developer and Data Scientist. I focus on building AI-powered apps, scalable web platforms, and data-driven solutions. I work with startups and businesses to turn ideas into great software and make sense of their data. I have experience handling projects from start to finish, including building modern web apps, creating machine learning models, and deploying them into production systems. 𝐈 𝐡𝐞𝐥𝐩 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬𝐞𝐬: • Build scalable web applications using MERN and Next.js • Turn raw data into insights with advanced analytics and visualization • Develop AI/ML models that improve decision-making and automation • Launch MVPs quickly with clean, maintainable code 𝐇𝐞𝐫𝐞 𝐚𝐫𝐞 𝐬𝐨𝐦𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐈 𝐜𝐚𝐧 𝐛𝐮𝐢𝐥𝐝 𝐟𝐨𝐫 𝐲𝐨𝐮: • Full-stack web apps (React, Next.js, Node.js, MongoDB) • AI-powered applications and dashboards • Machine learning models (classification, regression, clustering) • Deep learning solutions (CNNs, RNNs, LSTM, GRU) • NLP systems (chatbots, sentiment analysis, text classification) • Time-series forecasting (ARIMA, SARIMA, forecasting pipelines) • Interactive dashboards using Streamlit and Plotly • Model deployment and API integration 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐬𝐭𝐚𝐜𝐤 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐡𝐢𝐫𝐞 𝐦𝐞 𝐟𝐨𝐫: • Languages: Python, JavaScript • Frameworks: React, Next.js, Node.js, Express • Data & ML: Pandas, NumPy, Scikit-learn, XGBoost • Visualization: Matplotlib, Seaborn, Plotly • AI/Deep Learning: TensorFlow, Keras • Tools: Streamlit, REST APIs, Git • Explainable AI: SHAP, LIME 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬: • AI & Data Analytics • SaaS & Startups • E-commerce • Fintech • Business Automation 𝐖𝐡𝐲 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 𝐦𝐞: • Strong combination of development + data science expertise • Clean, scalable, and production-ready code • Clear communication and on-time delivery • Focus on real business impact, not just code If you’re looking for someone who can build your product, analyze your data, and integrate AI into your business, let’s connect and discuss your project.