🟢 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀 🟢 𝗠𝗖𝗣, 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀, 𝗥𝗔𝗚, 𝗩𝗼𝗶𝗰𝗲 𝗔𝗴𝗲𝗻𝘁𝘀 🟢 6+ 𝗬𝗲𝗮𝗿 🟢 Available now to start the project 🔴 Top 1% Talent on Upwork ✅ Tech Stack & Expertise ❇️ Artificial Intelligence & Machine Learning: AI Development, Deep Learning, TensorFlow, PyTorch, Artificial Neural Networks, Generative AI, Data Science, Natural Language Processing, NLP ❇️ LLM Engineering: OpenAI, ChatGPT API Integration, OpenAI API, LLaMA 3, Mistral, Mixtral, Fine-Tuning using LoRA, QLoRA, DPO, RLHF, PEFT, LLM Prompt Engineering, AI Model Training, Vector Databases like Pinecone, Weaviate, FAISS, RAG pipelines ❇️ AI Agent Development: AI Chatbots, AI Bots, AI Classifiers, Voice AI, AI Text-to-Speech, AI Speech-to-Text, Bot Development, Deepbrain AI, CrewAI, AutoGen ❇️ Python Development: Flask, FastAPI, Django, GPT APIs, Pytest, BeautifulSoup, Selenium ❇️ Data Automation: Web Scraping, Crawling, Data Mining, Parsing, Workflow Automation Bots ❇️ Fullstack Development: JavaScript, React.js, Node.js, Express.js, MongoDB ❇️ DevOps & Cloud: Docker, Kubernetes, Ansible, GitLab CI/CD, AWS, Azure, GCP, DigitalOcean ❇️ API Development & Integration: RESTful APIs, OpenAI Embeddings, Webhooks, Secure Microservices, Stripe, Binance, Telegram, BetFair, OddsJam, Interactive Brokers 📌 Services I Offer ⚙️ Web Scraping, Data Extraction, Crawling & Mining ⚙️ Machine Learning Model Development & AI Implementation ⚙️ Deep Learning & AI Model Training Prompt Engineering ⚙️ AI App Development: AI Chatbots, AI Bots, AI Agent Development ⚙️ Natural Language Processing, AI Classifier & Generative AI Applications ⚙️ Financial Dashboard Development, Market Analysis & Automation ⚙️ Interactive Brokers / Binance / Telegram Bot Development ⚙️ Data Cleaning, Processing, Analysis & Visualization ⚙️ AI Text-to-Speech, AI Speech-to-Text, Voice AI Integration ⚙️ Workflow Automation, Custom Scripts, and Python-based Optimization 🤖 LLM & AI Engineering ➜ AI Model Development: Artificial Neural Networks, TensorFlow, PyTorch, Generative AI Apps ➜ LLM Fine-Tuning: Persona bots, Q&A systems, Legal/Medical NLP models using LLaMA 3, Mistral ➜ Synthetic Data Generation & Machine Learning Model Training ➜ LLM Prompt Engineering & Evaluation Pipelines for benchmarking ➜ AI Model Integration with OpenAI API, ChatGPT API, and OpenAI Embeddings ➜ Cloud-based AI Deployment: SkyPilot on AWS, GCP, RunPod ➜ Inference Optimization: vLLM, TGI with quantized models (AWQ, GPTQ, GGUF, GGML) ➜ AI Agent Development with CrewAI, AutoGen, Deepgram, Amazon Polly 🔌 API Integration Specialist ✔️ AI Chatbot Integration with ChatGPT API, OpenAI API & Vector Databases ✔️ Secure RESTful Architecture, OAuth, Token Authentication, Rate Limiting ✔️ Real-time Data Processing, Webhooks, Cloud Functions ✔️ Build Scalable Microservices for AI App Development 🧠 AI Agent & LLM Skillset Voice AI Agents: CrewAI, AutoGen, Deepgram, Amazon Polly LLM Training & Fine-Tuning: PEFT, LoRA, QLoRA, RLHF, DPO Frameworks & Tools: HuggingFace AutoTrain, Axolotl, Unsloth AI Classifiers & NLP: AI Model Training Prompt Engineering, AI Model Development, RAG Pipelines Generative AI Applications: AI Chatbots, AI Bots, AI App Development, Automation Workflows 💡 Specialized in Python, AI Development, and Automation — I build scalable AI applications, automate workflows, and develop advanced Machine Learning & Deep Learning models with seamless API integration. I successfully deliver WEB SCRAPING, DATA MINING, and AUTOMATION solutions using Python, BeautifulSoup, Selenium, and Playwright, leveraging anti-detect browsers and proxies to bypass restrictions. For data analysis & Data Science projects, I use Pandas, NumPy, Scikit-Learn, and TensorFlow. 📈 If you’re looking for an expert in Python + AI/ML Development, Chatbot Development, AI Agent Development, and API Integration who delivers high-quality solutions fast Please invite me.

Greetings! I'm Mujtaba, a passionate data enthusiast and Kaggle Expert with 4+ years of professional experience. Over the last 1.5 years, I've immersed myself in freelancing, refining my skills and delivering outstanding results to clients globally. I take pride in having successfully completed 90+ projects, showcasing expertise in data cleaning, analysis, visualization, machine learning, and deep learning. Skills: -Python Programming -Data Analysis and Visualization -Data Cleaning and Transformation -Data Extraction -Feature Engineering -Machine Learning and Deep Learning -Computer Vision -Natural Language Processing (NLP) -Audio Recognition and Preprocessing -Gen AI/LLM/Comfy UI/GPT/Open AI API -Prompt Engineering Tools: -Python/SQL -Pandas -Matplotlib/Seaborn/Plotly -NumPy -Scikit-Learn/Tensorflow/Keras/Pytorch/NLTK/OpenCV -Streamlit -MS Excel/MS Power BI -Jupyter Notebook/Kaggle/Google Colab -VS Code and many more (will use new tool, if required). Client satisfaction is my top priority, and I am dedicated to delivering high-quality work that not only meets but exceeds client expectations. Whether you require comprehensive data analysis, GUI development, or support with machine learning projects, I am here to tailor a solution to your unique needs. If you're in search of a skilled data scientist who seamlessly blends technical expertise with a commitment to excellence, I encourage you to reach out. Let's collaborate and transform your data challenges into opportunities for success. Thank you for considering my profile. I eagerly anticipate the prospect of working together.

Hi! I’m a 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗘𝘅𝗽𝗲𝗿𝘁 with 6+ years of experience helping companies turn raw data into clear predictions, insights, and measurable results. I work across 𝗲-𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲, 𝗳𝗶𝗻𝗮𝗻𝗰𝗲, 𝘀𝗽𝗼𝗿𝘁𝘀 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 (𝗡𝗕𝗔 & 𝗡𝗙𝗟), 𝗮𝗻𝗱 𝘀𝗼𝗰𝗶𝗮𝗹 𝗶𝗺𝗽𝗮𝗰𝘁, delivering models that actually perform in the real world. 𝗔 𝗿𝗲𝗰𝗲𝗻𝘁 𝗰𝗹𝗶𝗲𝗻𝘁 𝘀𝗮𝗶𝗱 𝗶𝘁 𝗯𝗲𝘀𝘁: ⭐⭐⭐⭐⭐ “I've worked with Ahmed on a number of projects and he continues to do an excellent job. The project was completed successfully and another one is already being started. He is a great freelancer to work with” 🚀 𝗪𝗵𝗮𝘁 𝗜 𝗛𝗲𝗹𝗽 𝗪𝗶𝘁𝗵 • Predictive modeling & forecasting • Sports analytics (NBA/NFL DFS) • NLP & text classification • Clustering, segmentation & ML pipelines • Data analytics & dashboarding I focus on solutions that are practical, accurate, and actionable - not academic experiments. 📊 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗧𝗵𝗮𝘁 𝗠𝗮𝘁𝘁𝗲𝗿𝘀 • Built forecasting models with 85%+ accuracy • Increased sales by 50% through smarter data pipelines • Saved $150,000/year with simulation-based optimization • Automated processes that cut payment cycles from 90 to 30 days I’ve also worked with UNDP, Save the Children, and Omdena, applying ML to global connectivity, solar adoption, and online child safety. 🤝 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗛𝗶𝗿𝗲 𝗠𝗲 • Fast, reliable communication • Business-minded problem solving • Models that deliver real impact • A versatile skillset across industries 🛠 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 Python • SQL • Pandas • NumPy • Scikit-Learn • TensorFlow • NLP • BigQuery • Looker Studio • Google Cloud • Tableau • ML pipelines • Forecasting • Clustering • CV models. 📞 𝗥𝗲𝗮𝗱𝘆 𝘁𝗼 𝘂𝗻𝗹𝗼𝗰𝗸 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗳𝗿𝗼𝗺 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮? Send me a message - I’d love to help you turn your dataset into something valuable.

🏆 𝐄𝐱𝐩𝐞𝐫𝐭-𝐕𝐞𝐭𝐭𝐞𝐝 - 𝗧𝗼𝗽 𝟭% 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸 ✅ 𝟕+ 𝐘𝐞𝐚𝐫𝐬 𝐨𝐟 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 ⏰ 𝟲𝟖𝟎𝟎+ 𝐔𝐩𝐰𝐨𝐫𝐤 𝐇𝐨𝐮𝐫𝐬 | 𝟏𝟎𝟎+ 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 🚀 $𝟒𝟎𝟎𝐊+ 𝐄𝐚𝐫𝐧𝐞𝐝 𝐨𝐧 𝐔𝐩𝐰𝐨𝐫𝐤 Machine Learning Engineer with 7+ years building production LLM's, RAG, and recommendation systems including 2 years on Upwork's own Search & Recommendations team and time on Alibaba/Daraz's Recommendations team, where I helped shape the algorithms powering search and personalization for millions of users. I focus on taking AI from proof-of-concept to production. That means not just building a model that works in a notebook, but designing systems that are reliable, scalable, and actually move business metrics, search relevance, conversion, retention, and customer engagement. WHAT I BUILD: ============ - LLM & RAG Systems: I design and deploy RAG pipelines using LangChain, Hugging Face, and the OpenAI API, paired with vector databases like Pinecone for fast, accurate retrieval over large or messy document sets. Whether it's a customer support knowledge base, an internal company assistant, or a document Q&A tool, I focus on grounding LLM outputs in real data so answers stay accurate and hallucination-free. - AI Agents & Multi-Agent Systems: I build autonomous and semi-autonomous agents that can plan, make decisions, and execute multi-step tasks with minimal human oversight. This includes MCP, A2A, RAG for complex workflows, task automation, and decision-making pipelines that operate in real time. - Recommendation Systems & Search Ranking: This is where I have the deepest, most directly provable expertise. At Upwork, I worked on the algorithms behind freelancer-client matching and search ranking, including deep learning ranking approaches like Deep & Cross Networks. At Alibaba/Daraz, I refined recommendation algorithms using transformer-based NLP techniques to drive measurable revenue gains. - AI Chatbots: I've built multimodal conversational systems capable of handling both text and image inputs, designed to reduce support load while improving the quality and speed of responses customers receive. TRACK RECORD AND RESULTS: ========================== - Deployed a search recommendation system at Upwork that improved search relevance by 25%, directly impacting how millions of freelancers and clients get matched on the platform. - Refined recommendation algorithms at Alibaba Group (Daraz) that increased cross-sell revenue by 20%, using advanced NLP and transformer techniques applied to a large-scale e-commerce dataset. - Reduced model inference latency by 40% by streamlining PyTorch-based pipelines, enabling real-time recommendations at scale rather than batch-only processing. - Built multimodal AI chatbots that improved customer support efficiency by 30%, cutting response times while maintaining service quality. - Kaggle Competitions Expert, ranked in the top 5% globally in NLP and multimodal machine learning challenges. TECHNICAL TECHSTACK: ===================== - Languages & Core Tools: Python, R, SQL - ML/DL Frameworks: PyTorch, TensorFlow, Scikit-Learn, Numpy, Pandas - Generative AI & LLMs: OpenAI API (GPT-4o / ChatGPT), Anthropic Claude, Hugging Face Transformers, open-source Large Language Models - AI Agent Development: MCP (Model Context Protocol), Claude Agent SDK, OpenAI Agents SDK, LangGraph, LangChain, LlamaIndex, AutoGen - API Integration & Orchestration: REST APIs, webhooks, n8n, Make com - Vector Search & Retrieval: Pinecone, RAG (Retrieval-Augmented Generation) pipelines - Document Processing & OCR: Tesseract, AWS Textract, PDF/HTML/XML parsing - Specializations: Search ranking & recommendation systems, RAG pipeline design, AI agent development, prompt engineering, LLM deployment & optimization If your project involves large language Models, RAG pipelines, AI agents, recommendation engines, or search and ranking systems, I'd love to hear about it. Feel free to message me anytime to discuss your project. I'm happy to do a quick call first if it helps clarify scope before we start.

I build the machine learning and data systems behind trading research: models that generate signals, backtests that hold up, and the pipelines that feed both. Most of the work is the whole chain rather than one piece of it, because the things that decide whether a model means anything sit across the layers: corporate action adjustments, survivorship bias in the symbol universe, gaps in the history, whether the split was ordered in time, whether last night's job actually ran. WHAT I BUILD - Machine learning for markets: feature engineering from market data, model training, validation and tuning, live inference, signal generation, regime and anomaly detection, and performance monitoring once a model is running. - Backtesting and simulation: walk-forward frameworks, Monte Carlo, event studies, realistic slippage, fees and fill assumptions, position sizing and risk parameters. - Market data platforms: ingestion from multiple vendors, cleaning, corporate action handling, schema validation, nightly refresh, gap detection and automatic re-pulls. - Research tooling: browser interfaces over research data, dashboards, portfolio optimisation, spreadsheet models rebuilt as real applications. - Large-scale collection and monitoring: crawling, deduplication, entity resolution across sources, rate-limit handling, 24/7 monitoring with conditional alerts, tens of millions of records and up. RECENT WORK - Machine learning system predicting forward Sharpe ratios across roughly 23,700 US stocks and ETFs. Supervised ensemble models trained on eighteen engineered features from lagged and rolling return and volatility statistics, with a separate model tuned for each horizon from one hour to one year. Time-ordered splits and time-series cross-validation. Trains on GPU about an hour a day, scores hourly, and runs for around $65 a month. - Options research platform holding 800 billion rows across 5TB, unifying 18 sources spanning options chains, underlying prices, social feeds and model outputs. Partitioning and clustering choices cut query costs by over 70%, so it runs for $120 a month rather than thousands. Live and expanding for over a year. - Research platform covering 45 years of market history plus daily alternative-data feeds, queryable from a browser. Asynchronous collectors, warehouse storage, nightly refresh, indicators and event studies, with new listings standardised, scored against defined criteria and ranked by morning. Two hours of research became five minutes, and five hours of manual scanning became zero. STACK Python, pandas, NumPy, scikit-learn, XGBoost, PyTorch, SQL. BigQuery, Postgres, MongoDB. Google Cloud and AWS, TypeScript and React. Cost is a design constraint rather than something discovered on the first invoice. I build infrastructure, not strategies. The edge stays with whoever brought it. Send me a message. Happy to talk through what you are building.

⚡ Top Rated Plus AI Automation Expert & Full Stack Python Developer with 8+ years of experience building AI Agents, RAG systems,Web automations, Data Extraction solutions, workflow automation, and document intelligence solutions using OCR,n8n, LangChain, FastAPI, and LLMs (OpenAI, Claude, Gemini, ChatGPT).⚡ I help businesses automate operations, process documents, extract valuable data, integrate AI into workflows, and build production-ready systems that reduce manual effort by 70-90%. 𝗦𝗣𝗘𝗖𝗜𝗔𝗟𝗜𝗭𝗔𝗧𝗜𝗢𝗡𝗦 ◆ AI Agent Development ◆ Workflow Automation (n8n) ◆ OCR & Intelligent Document Processing ◆ PDF, Invoice & Form Extraction ◆ Web Scraping & Browser Automation ◆ Lead Generation & Data Enrichment ◆ Google Maps & Business Data Extraction ◆ Data Mining & ETL Pipelines ◆ FastAPI & Backend Development ◆ API Integrations & Custom Automation 𝗧𝗘𝗖𝗛𝗡𝗢𝗟𝗢𝗚𝗜𝗘𝗦 Python, FastAPI, OpenAI, Claude, Gemini, LangChain, OpenClaw, n8n, Selenium, Playwright, Scrapy, BeautifulSoup, Requests, Tesseract OCR, PaddleOCR, EasyOCR, OpenCV, PostgreSQL, MySQL, Redis, Docker, AWS, REST APIs 𝗥𝗘𝗖𝗘𝗡𝗧 𝗦𝗢𝗟𝗨𝗧𝗜𝗢𝗡𝗦 ◆ AI Agents for Customer Support & Lead Qualification ◆ OCR Systems for Invoices, Forms & Bank Statements ◆ Large-Scale Web Scraping & Monitoring Platforms ◆ Business Lead Generation & Data Enrichment Systems ◆ Google Maps & Local Business Data Extraction ◆ Document Processing & PDF Automation ◆ AI Workflow Automation using n8n ◆ Speech-to-Text & Transcription Solutions ◆ Custom FastAPI APIs & Backend Systems I focus on delivering reliable automation solutions that turn manual workflows into scalable systems, helping businesses collect data faster, process documents efficiently, and automate day-to-day operations.

𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 | 8+ 𝗬𝗲𝗮𝗿𝘀 | 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀. 𝐆𝐫𝐞𝐞𝐭𝐢𝐧𝐠𝐬! 𝐈 𝐚𝐦 𝐌𝐨𝐡𝐢𝐭, 𝐚 𝐬𝐞𝐚𝐬𝐨𝐧𝐞𝐝 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 𝐰𝐢𝐭𝐡 𝐨𝐯𝐞𝐫 𝟖+ 𝐲𝐞𝐚𝐫𝐬 𝐨𝐟 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐢𝐧 𝐰𝐞𝐛 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐬𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭. Working with LLMs for the past 8+ years and have good expertise in AI Agents development using langchain, LlamaIndex, and LLMs like Claude, GPT4o, Amazon Bedrock, Ollama 🔹 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 / 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬: CrewAI, AutoGen, LangGraph, Semantic Kernel, OpenAI Swarm, OpenAI Assistants API, MCP, Vapi, Retell AI, Bland AI, Synthflow, LiveKit, Pipecat, Amazon Polly, Deepgram, ElevenLabs, Whisper, Rasa AI 🔹 𝐋𝐋𝐌 𝐅𝐢𝐧𝐞-𝐭𝐮𝐧𝐢𝐧𝐠: PEFT, LoRA, QLoRA, RLHF, DPO, ORPO, SFT, TRL with Unsloth, Axolotl, HuggingFace AutoTrain, SageMaker 🔹 𝐎𝐩𝐞𝐧-𝐒𝐨𝐮𝐫𝐜𝐞 𝐋𝐋𝐌𝐬: LLaMA 3, Mistral 7B, Mixtral 8×7B, Qwen, DeepSeek, Phi-3, Falcon, Gemma 🔹 𝐂𝐥𝐨𝐬𝐞𝐝 𝐋𝐋𝐌𝐬: GPT-4o, o1, o3, Claude, Gemini, Amazon Bedrock, Cohere 🔹 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: vLLM, TGI, TensorRT-LLM, Ollama, llama.cpp, Groq 🔹 𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: Multi-turn, Few-shot, Zero-shot, Chain-of-Thought, ReAct, RAG-based prompts 🔹 𝐐𝐮𝐚𝐧𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧: AWQ, GPTQ, GGUF, GGML, bitsandbytes 🔹 𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: LangChain, LlamaIndex, Haystack, GraphRAG, ChromaDB, FAISS, Pinecone, Qdrant, Weaviate, Milvus, pgvector 🔹 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: n8n, Make, Zapier AI, Flowise, LangFlow, StackAI 🔹 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈: Stable Diffusion, DALL·E, Flux, Midjourney, ControlNet, GPT-4 Vision 🔹 𝐃𝐚𝐭𝐚 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞: Synthetic dataset generation, LLM evaluation frameworks, Ragas, DeepEval 🔹 𝐋𝐋𝐌𝐎𝐩𝐬 & 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠: LangSmith, Langfuse, TruLens, Weights & Biases 🔹 𝐌𝐋 & 𝐍𝐋𝐏: PyTorch, TensorFlow, HuggingFace Transformers, scikit-learn, sentence-transformers 🔹 𝐋𝐋𝐌 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: AWS Sagemaker, RunPod, GCP AI Platform, Vercel AI SDK, BentoML, Modal, Replicate 🖥️ 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 Proficient in Python, Django, Flask, AWS Lambda for backend API. 🔹 Experienced with relational & NoSQL databases: MySQL, PostgreSQL, MongoDB, Firebase, Firestore. 🔹 Skilled in Python FastAPI, REST API, GraphQL API development, and database schema design. 🔹 Knowledgeable in Redis, Docker, Kubernetes, AWS EC2, S3, Nginx for scalable infrastructure. 🔹 LangChain, LangServe, LangSmith, HuggingFace, Transformers for AI/LLM integrations. 🔹 Vector Databases: Chroma, FAISS, Pinecone, Qdrant for RAG pipelines. 🔹 Low-code AI tools: Flowise AI, LangFlow, StackAI for rapid prototyping. 🔹 Familiar with Celery task queues, testing frameworks (Pytest, Unittest), and automation tools like Selenium. 🌐 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 Proficient in TypeScript, Redux Toolkit, Tailwind CSS with Next.js for high-performance frontends. 🛠️ 𝗧𝗼𝗼𝗹𝘀 & 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: 🔹 Skilled in Python ML libraries: Scikit-learn, Numpy, Pandas, Matplotlib, Seaborn. 🔹 Familiar with OpenAI APIs, Whisper, GPT models, ChatGPT integration, and AI chatbot deployment. 🔹 Experienced with AWS (Lambda, S3, EC2, Sagemaker), Git/GitHub, and Linux environments (Ubuntu, CentOS). 🌟 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗔𝗜 & 𝗟𝗟𝗠 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 AI Agents / Voice Assistants: CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI. 🔹 Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8×7B, Falcon, Gemma. 🔹 Inference Optimization: vLLM, TGI, TensorRT-LLM for high-speed deployments. 🔹 Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts. 🔹 Quantization: AWQ, GPTQ, GGUF, GGML for efficient LLM deployment. 🔹 LLM Fine-tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, H My expertise spans both frontend and backend technologies, as well as a variety of tools and additional skills that enable me to deliver comprehensive solutions.

👋 Hi, I’m a 🏆 ⭐️⭐️⭐️⭐️⭐️Top Rated Python Web Scraping and Data Mining Expert at GroupBWT - a 100-person engineering team delivering scalable, high-accuracy data extraction and web scraping systems since 2009. I specialize in building end-to-end data mining and lead generation pipelines using tools like Python, Selenium, Playwright, and Puppeteer to extract structured information from complex, dynamic, and protected sources. Over the years, I’ve worked on systems where data mining and web scraping are core infrastructure components, not just scripts. We help clients replace spreadsheets, manual monitoring, and unreliable sources with fully automated pipelines delivered into APIs, dashboards, or databases: ✅ Our Python Web Scraping and data mining systems process over 1.5 million URLs per day, with proxy rotation, retry logic, and real-time monitoring. ✅ We reduce reporting delays by 70% using real-time data mining and web scraping pipelines for inventory, pricing, and market tracking. ✅ Our systems collect and structure more than 15,000 news articles weekly using web scraping and data mining pipelines, converting unstructured content into usable insights. 🔁 What I do 📦 Python Web Scraping Data Mining: We build large-scale Python Web Scraping data mining systems that extract structured data from marketplaces, real estate platforms, B2B directories, social networks, and news sources. ✔ Product & Price Monitoring ✔ Competitor Analysis ✔ Business Directory extraction ✔ Lead Generation & Contact Discovery 🧹 Cleaning, Enrichment & Integration We don’t stop at extraction - every data mining and Python Web Scraping pipeline includes cleaning, normalization, deduplication, and enrichment. We turn raw outputs into Data Analyst-ready datasets that integrate with CRMs, BI tools, and internal systems. ✔ Document & Market analysis ✔ Data matching and enrichment ✔ Classification and tagging 📤 Automation & Scalable Delivery We design recurring web scraping data mining pipelines that run daily or hourly with full observability. Every web scraping data mining system includes monitoring, alerts, retries, and structured delivery into APIs, databases, or BI dashboards. ✔ Scheduled web scraping data mining pipelines ✔ Real-time dashboards ✔ Automated reporting feeds ✔ Lead Generation database creation and enrichment ✔ Custom bot developer solutions ✔ Data Analyst-ready dataset 🧾 Data Entry & Data Scraping Support We provide structured Data Entry services: ✔ Lead Generation database creation and enrichment ✔ Data Entry for large-scale scraped datasets into spreadsheets, CRMs, and databases ✔ Data Entry automation for transforming unstructured data scraping outputs into structured records ✔ High-volume Data Entry handling for product, business, and directory information ✔ Data Entry validation to ensure accuracy and consistency across datasets ✔ Semi-automated Data Entry workflows ⚙️ Tech Stack: Languages: Python, JavaScript, PHP Databases: MySQL, PostgreSQL, MongoDB, DynamoDB, MSSQL, Snowflake Frameworks: Scrapy, Twisted, Hadoop, DRF, Laravel, ApacheSpark Containerization: Docker, k8s Message Brokers: RabbitMQ, Redis AWS: EC2, SQS, RDS, S3, Lambda, Gateway, Neptune Libraries: Celery, Puppeteer, NLTK, numpy, pandas, spaCy, TensorFlow, scikit-learn, React-PHP, Keras, sqlalchemy, Gensim, pyTorch RPA & Workflow: Selenium, Playwright, UI automation, Slack/Google Sheets integrations, API workflows, Excel automation Bot Developer: Custom bot developer | data scraper solutions Platform: Databricks, Snowflake, BigQuery, Airflow, DBT, Redshift, Power BI 🧩 SAMPLE WEB SCRAPING & DATA MINING PROJECTS ✅ Built a platform covering 300+ marketplaces using Python Web Scraping and data mining, processing 60M+ records daily ✅ Built pricing intelligence system using data mining and Python Web Scraping across 120+ eCommerce domains ✅ Delivered news intelligence platform powered by web scraping data mining from 80+ global media sources ✅ Built a lead generation platform using Python scraping and web scraping data collection across multiple business directories, generating thousands of verified leads weekly 🤝 Why Clients Work With Us: ✅ Enterprise-Grade Web Scraping & Data Mining Systems 🔹 We build full-scale ecosystems, not scripts - every Python Web Scraping and data mining system includes monitoring, scaling, error recovery, and Data Analyst-ready outputs. 🔹 Clients reduce manual work by up to 60% using automated web scraping data mining pipelines 🔹 Result: 25-35% lower operational costs through stable web scraping data mining infrastructure ✅ Built to Scale 🔹 Systems handle 100M+ pages/month using web scraping data mining architecture 🔹 Designed for horizontal scaling of web scraping data mining workloads 🔹 Real-time updates through scheduled web scraping and data mining execution 🚀 Ready to turn data into structured intelligence using web scraping and data mining? ➡️ Invite me to your job and let’s build your pipeline

⭐ 𝙏𝙧𝙪𝙨𝙩𝙚𝙙 𝙗𝙮 𝙜𝙡𝙤𝙗𝙖𝙡 𝙗𝙧𝙖𝙣𝙙𝙨 𝙞𝙣𝙘𝙡𝙪𝙙𝙞𝙣𝙜 𝙇'𝙊𝙧é𝙖𝙡, 𝙌𝙪𝙖𝙣𝙩𝘽𝙤𝙭, 𝙖𝙣𝙙 𝘿𝙞𝙜𝙞𝙢𝙞𝙣𝙙, 𝙙𝙚𝙡𝙞𝙫𝙚𝙧𝙞𝙣𝙜 𝙙𝙖𝙩𝙖-𝙙𝙧𝙞𝙫𝙚𝙣 𝙨𝙤𝙡𝙪𝙩𝙞𝙤𝙣𝙨 𝙩𝙝𝙖𝙩 𝙞𝙢𝙥𝙧𝙤𝙫𝙚 𝙧𝙚𝙥𝙤𝙧𝙩𝙞𝙣𝙜, 𝙛𝙤𝙧𝙚𝙘𝙖𝙨𝙩𝙞𝙣𝙜, 𝙖𝙣𝙙 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝙙𝙚𝙘𝙞𝙨𝙞𝙤𝙣-𝙢𝙖𝙠𝙞𝙣𝙜. 🐍 Senior Data Scientist | Python Developer | Data Analyst | Machine Learning Engineer 📊 Power BI | Tableau | Looker Studio | Dashboard Development | Business Intelligence 🥇 Microsoft Certified Power BI Data Analyst (PL-300) With 6+ 𝐲𝐞𝐚𝐫𝐬 𝐨𝐟 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞, I help businesses transform raw data into actionable insights through 𝐢𝐧𝐭𝐞𝐫𝐚𝐜𝐭𝐢𝐯𝐞 𝐝𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬, 𝐩𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬, 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐦𝐨𝐝𝐞𝐥𝐬, 𝐚𝐧𝐝 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐝𝐚𝐭𝐚 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬. I've successfully delivered solutions for global organizations including 𝐋'𝐎𝐫é𝐚𝐥, 𝐃𝐢𝐠𝐢𝐦𝐢𝐧𝐝, 𝐚𝐧𝐝 𝐐𝐮𝐚𝐧𝐭𝐁𝐨𝐱, helping stakeholders make faster, data-driven decisions. 𝐖𝐡𝐚𝐭 𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐰𝐢𝐭𝐡: ✅ 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 & 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 ➠Power BI Dashboards ➠Tableau Dashboards ➠Looker Studio Dashboards ➠Executive & KPI Dashboards ➠Interactive Reports ➠DAX & Power Query ➠Data Storytelling ✅ 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 ➠Python (Pandas, NumPy, Scikit-learn) ➠Predictive Analytics ➠Forecasting & Time Series Analysis ➠XGBoost & Machine Learning Models ➠Customer Segmentation ➠Clustering & Classification ➠Feature Engineering ✅ 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 ➠SQL (SQL Server, MySQL, PostgreSQL) ➠ETL Pipeline Development ➠Data Cleaning & Data Wrangling ➠Data Modeling ➠Data Warehousing ➠BigQuery ➠Snowflake ➠Azure Databricks ✅ 𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 & 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 ➠Google Analytics ➠Marketing Performance Dashboards ➠Sales Analytics ➠Financial Reporting ➠Customer Analytics ➠Business Performance Reporting ➠Automated Reporting Solutions 𝐖𝐡𝐲 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 𝐦𝐞: ✔ Build scalable dashboards that executives actually use. ✔ Automate manual reporting to save hours every week. ✔ Develop accurate forecasting and machine learning models for smarter business planning. ✔ Transform messy, complex datasets into clean, reliable, and actionable insights. ✔ Deliver clean, well-documented code, clear communication, and on-time project completion. Whether you need a 𝑷𝒐𝒘𝒆𝒓 𝑩𝑰 𝑫𝒂𝒔𝒉𝒃𝒐𝒂𝒓𝒅, 𝑻𝒂𝒃𝒍𝒆𝒂𝒖 𝑫𝒂𝒔𝒉𝒃𝒐𝒂𝒓𝒅, 𝑷𝒚𝒕𝒉𝒐𝒏 𝒅𝒂𝒕𝒂 𝒂𝒏𝒂𝒍𝒚𝒔𝒊𝒔, 𝑺𝑸𝑳 𝒅𝒆𝒗𝒆𝒍𝒐𝒑𝒎𝒆𝒏𝒕, 𝒎𝒂𝒄𝒉𝒊𝒏𝒆 𝒍𝒆𝒂𝒓𝒏𝒊𝒏𝒈 𝒔𝒐𝒍𝒖𝒕𝒊𝒐𝒏, 𝑬𝑻𝑳 𝒑𝒊𝒑𝒆𝒍𝒊𝒏𝒆, 𝑺𝒏𝒐𝒘𝒇𝒍𝒂𝒌𝒆, 𝑨𝒛𝒖𝒓𝒆 𝑫𝒂𝒕𝒂𝒃𝒓𝒊𝒄𝒌𝒔, 𝑩𝒊𝒈𝑸𝒖𝒆𝒓𝒚, or an end-to-end analytics solution, I can help turn your data into measurable business value. 𝐋𝐞𝐭'𝐬 𝐝𝐢𝐬𝐜𝐮𝐬𝐬 𝐲𝐨𝐮𝐫 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐚𝐧𝐝 𝐛𝐮𝐢𝐥𝐝 𝐚 𝐝𝐚𝐭𝐚 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐭𝐡𝐚𝐭 𝐝𝐫𝐢𝐯𝐞𝐬 𝐫𝐞𝐬𝐮𝐥𝐭𝐬.

Hi, I’m Dr. Jody-Ann Jones – AWS-Certified ML Expert Specializing in Data Engineering, MLOps, and Scalable AI Solutions. With 5+ years of experience in Machine Learning, Data Engineering, and MLOps, combined with over a decade of expertise in quantitative and qualitative research, I specialize in designing and deploying scalable, production-grade AI and data systems that deliver measurable business impact. Whether you're aiming to predict future trends, automate workflows, or leverage generative AI for innovation, I provide end-to-end solutions that go beyond just building models—they're built to perform in production at scale. 🔑 Core Services I Offer: 🛠️ 1. Machine Learning Model Design & Deployment (MLOps) - End-to-end ML Pipelines: From data ingestion to model deployment. - CI/CD for ML Models: Streamlined workflows for continuous integration and delivery. - Real-Time Monitoring: Track model drift and optimize performance post-deployment. - Tools: AWS SageMaker, MLflow, Docker, Kubernetes, Terraform, and more (please ask for more info) 📊 2. Predictive Analytics & Business Forecasting - Forecast KPIs, sales trends, and customer behavior with robust predictive models. - Ensure models are interpretable and actionable with tools like LIME and SHAP. - Integrate analytics dashboards for real-time decision-making. 📡 3. Scalable Data Engineering Solutions - Design and implement robust ETL pipelines using dbt, Apache Airflow, and Spark. - Build scalable data lakes and warehouses on AWS (S3, Redshift), Azure Synapse, and Google Cloud. - Real-time data ingestion with Kafka and Spark Streaming. 🗣️ 4. Natural Language Processing (NLP) - Build AI systems for sentiment analysis, topic modeling, and entity recognition. - Deploy fine-tuned GPT models for chatbots, content generation, and knowledge management. - Work with large-scale unstructured text data for actionable insights. 🛡️ 5. AI for Cybersecurity & Fraud Detection - Develop systems to detect fraud, anomalies, and security threats in real-time. - Analyze network traffic logs and transactional datasets for vulnerabilities. - Scalable deployment for mission-critical security infrastructure. 🎨 6. Generative AI Solutions - Fine-tune and deploy custom GPT and Stable Diffusion models. - Build AI-powered tools for content creation, text summarization, and customer support automation. - Utilize AWS Bedrock, OpenAI APIs, and other cloud-native generative AI solutions. 🚀 Why Choose Me? ✅ AWS-Certified Machine Learning Specialist: Proven expertise in building and deploying cloud-native AI solutions. ✅ Full-Stack AI Professional: From data engineering pipelines to MLOps workflows and model monitoring. ✅ Business-Driven Results: Every project is aligned with clear KPIs and measurable ROI. ✅ Scalable Infrastructure: Solutions designed to grow with your business. ✅ Clear Communication: Complex technical concepts explained in plain business language. 🤝 Let’s Collaborate! Whether you’re looking to: 🚀 Scale your AI operations to production 📊 Leverage predictive analytics for data-driven decision-making 🧠 Harness Generative AI for innovation 🛡️ Strengthen cybersecurity with AI solutions I’m here to turn your data challenges into actionable, scalable solutions. 👉 Reach out today, and let’s discuss how I can add value to your business! 📌 Next Steps: Send me a message with your project details. Let’s schedule a call to align on goals and timelines. Looking forward to helping you unlock the power of your data! 🚀