Hello! I am a dedicated Data Engineer with a strong focus on machine learning and data visualization. With extensive experience in Python and its powerful libraries, I can help you turn raw data into valuable insights and predictive models. Skills: - Python: Proficient in developing robust data solutions. - Machine Learning: Expertise in building, training, and deploying models. - Data Visualization: Creating insightful visualizations to interpret complex data. - Data Cleaning & Feature Engineering: Ensuring your data is ready for analysis. Libraries & Frameworks: - TensorFlow, Scikit-learn, PyTorch, Keras, Numpy - Matplotlib, Seaborn - Selenium Specializations: - Computer Vision - Deep Learning - Neural Networks - Creating efficient data pipelines - Docker: Containerizing applications for scalable and reproducible deployments I am passionate about using data to solve real-world problems and am ready to help you achieve your project goals. Let's work together to bring your data to life!

✅ TOP RATED PLUS — Top 3% on Upwork ✅ 100% Job Success Score (122 jobs, $600K+ earned) ✅ Kaggle Expert — Ranked Top 4% Globally (#2,226 of 59,691) — Bronze Notebook Medal ✅ IBM Certified — Machine Learning & Data Science ✅ Built apps with 300,000+ downloads Most clients want AI that actually works — not demos, not prototypes that break in production, not off-the-shelf tools wrapped in a fancy UI. I build ML models, RAG pipelines, NLP systems, and AI chatbots that solve real business problems. I combine 10+ years of software delivery experience with hands-on machine learning expertise — so I speak both the technical and business language fluently. The bar doesn't change. The results do. 🤖 AI & Machine Learning ▸ Predictive Models — XGBoost, LightGBM, CatBoost, Random Forest, scikit-learn ▸ Deep Learning — PyTorch, TensorFlow, Keras, CNNs, Neural Networks ▸ Classification, Regression, Anomaly Detection, Time Series 🧠 LLMs & NLP ▸ RAG Pipelines — ChromaDB, Pinecone, FAISS, vector search ▸ LangChain, LlamaIndex, OpenAI API, Claude API, HuggingFace ▸ Chatbots, Document Q&A, Text Classification, Sentiment Analysis ▸ NLP — BERT, Transformers, Named Entity Recognition, Text Summarization 📊 Data Science & Analytics ▸ Pandas, NumPy, Matplotlib, Seaborn, EDA, Statistical Analysis ▸ Feature Engineering, Hyperparameter Tuning, Cross-Validation ▸ Data preprocessing, cleaning, and pipeline design 🛠 Tools & Deployment ▸ Python, SQL, Git, GitHub, Jupyter Notebook ▸ FastAPI, Docker (basic), REST API integration ▸ Google Cloud, AWS (exploring) 🏆 Selected Projects ▸ Bankruptcy Prediction System: Built end-to-end classification pipeline across 6,819 companies × 94 financial features — XGBoost ROC-AUC 0.9367, stacked ensemble AUC 0.923. Reduced false positives via threshold optimization, flagging 109/220 high-risk entities. ▸ Mindfulness App (300K+ Downloads): Designed and built iOS/Android app now ranking above Calm and Headspace in the Greek App Store. End-to-end — design, development, ASO, deployment, maintenance. ▸ Pneumonia Detection: CNN-based anomaly detection system using PyTorch on medical X-ray images — applying deep learning to real-world healthcare classification. ✅ Why Work With Me -------------------------- ▸ Top Rated Plus — Upwork's highest trust designation (Top 3%) ▸ 100% Job Success across 116 completed projects ▸ Kaggle Top 4% globally — proven ML skills, not just theory ▸ 10+ years delivering real software products for global clients ▸ I speak outcomes, not just technical specs ▸ Fast communicator — you'll always know where your project stands If you need a predictive model, RAG pipeline, NLP solution, or AI chatbot built properly — let's talk. Message me and I'll tell you within a few hours whether I can help and how.

I'm a young self-taught programmer. I've loved computer and programming since l was 12. I have been programming in Python for more than 6 years. Python is the only language I have mastered. Besides that, I know C, Java, and JS but I am very good at Python, so I just focus on it. Skills: Web Scraping: Playwright, Selenium, Scrapy, BeautifulSoup, requests Data Processing and Data Analysis: Numpy, Pandas, Scipy, Maptlotlib Backend / API Integration: FastAPI, Flask, Django, SQLAlchemy ORM AI / LLM Development: LangChain, LangGraph, Pydantic AI, RAG, MCP Server, OpenAI API, Claude GUI Development: PyQt6, Tkinter, kivy Document Automation / Processing: Excel (openpyxl, pandas, xlrd, xlwt), Docs (python-docx, VBA), PPT (python-pptx), and PDF (docx2pdf, docx2txt, PyPDF2, PyMuPDF, ReportLab), Google Sheets (Apps Script), JSON etc Others: pytest, unit testing, OAuth, JWT token, Telethon, python-telegram-bot, moviepy, PyInstaller, OCR, plotly, Celery, Redis, cronjob scheduling, geodata, time series data, Nodejs, poetry, venv, virtualenv, pyautogui, pynput, OpenRouter, Streamlit ------------------------------------------------ Database: PostgreSQL, MongoDB, MySQL, SQLite (db migration, auth) Work with Environment: Docker, Docker compose, Google Colab, GCP, Jupyter Notebook, VS Code, Neovim/Vim etc. Deployment: Heroku, Render, Railway, Vercel

Kaggle Grandmaster and skilled at Generative AI modelling, deep learning, computer vision and NLP modelling. Good understanding of Deep Learning, Computer Vision and Machine Learning algorithms

I Build Intelligent AI Agents That Think, Decide & Execute Autonomously 3+ years specializing in agentic AI systems that transform manual workflows into intelligent, self-operating solutions. Expert in multi-agent orchestration, tool-calling systems, and autonomous decision-making frameworks. What I Do Best AI Agent Development Multi-agent systems with LangChain, LangGraph, and CrewAI Tool-calling agents with function integration and decision trees Autonomous workflow orchestration and task delegation Agent memory systems and context management LLM & RAG Integration Production RAG systems with vector databases (Pinecone, Chroma) LLM fine-tuning and prompt engineering optimization Agent-to-agent communication protocols Knowledge graph integration for intelligent reasoning Intelligent Automation Agents Document processing agents with OCR and NLP capabilities Web scraping agents with adaptive crawling strategies Data analysis agents with automated insight generation Customer service agents with multi-modal capabilities Agent Infrastructure & Deployment FastAPI backends for agent orchestration Real-time agent monitoring and performance tracking Docker containerization for scalable agent deployment Database integration (PostgreSQL, MongoDB) for agent state management Recent Success Built a multi-agent system that autonomously processes documents, extracts insights, and generates reports, reducing manual work by 85% while maintaining 99%+ accuracy through intelligent error handling and self-correction mechanisms. Advanced Agent Capabilities Planning & Reasoning: Strategic task decomposition and execution planning Tool Integration: Custom tool creation and API orchestration Adaptive Learning: Agents that improve performance through interaction feedback Multi-Modal Processing: Vision, text, and audio processing within single agent workflows Why Choose Me for Agent Development Production Experience: Currently deploying autonomous agents in enterprise environments End-to-End Expertise: From agent architecture design to production monitoring Cutting-Edge Stack: Latest agentic frameworks including AutoGen, LangGraph, and custom architectures Measurable Impact: Focus on ROI through intelligent task automation Ready to Deploy Intelligent Agents? Whether you need document processing agents, research assistants, or complex multi-agent workflows, I'll build autonomous systems that think and act like your best employees - but never sleep. Let's architect your AI agent solution →

𝐈 𝐛𝐮𝐢𝐥𝐝 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐀𝐈 𝐭𝐡𝐚𝐭 𝐬𝐡𝐢𝐩𝐬. Founder-engineer vibes, sleeves rolled up, results on the board. I turn messy real-world video into stable, low-latency systems your team can trust, and your CFO can love. 𝐍𝐨𝐭𝐜𝐡𝐚 𝐀𝐯𝐞𝐫𝐚𝐠𝐞 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 𝐆𝐮𝐲 😎 I don’t stop at a cool demo. Shipping LootMart (hyper-local marketplace) taught me the full stack around models: clean APIs, rock-solid data contracts, observability, security, and predictable costs. That’s why my CV/ML services behave like products, not science projects. 𝐖𝐡𝐚𝐭 𝐈 𝐀𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐃𝐨 - Computer Vision & Video Analytics (2D/3D): detection (YOLO/DETR), multi-object tracking (ByteTrack/DeepSORT), segmentation (U-Net), OCR/document AI, pose/re-ID, visual search & face/product matching (Siamese + Triplet Loss), point clouds & geometry. - High-Throughput Inference: NVIDIA Triton (dynamic batching, concurrent models, HTTP/gRPC), TensorRT (FP16), ONNX Runtime; autoscaling containers with health checks and graceful rollouts. - Robust Ingestion: multi-RTSP pipelines with back-pressure control using OpenCV, FFmpeg, PyAV/decord so frames don’t mysteriously vanish under load. - MLOps & Services: FastAPI/Flask gateways, worker queues, CI/CD, Docker + Nginx; W&B for experiments; versioned datasets; reproducible training. - Data & Integrations: Postgres (schema design, RLS, SQL/PLpgSQL), Redis, vector DBs (Milvus/Qdrant), webhook-driven architectures, n8n workflows for ETL/alerts, and MCP (Model Context Protocol) to wire AI tools into your internal systems. - Selective Full-Stack Glue (when it helps): Next.js app layers, secure webhooks, auth, real-time updates, and crisp dashboards so stakeholders can see impact. 𝐏𝐫𝐨𝐨𝐟 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐮𝐝𝐝𝐢𝐧𝐠 (𝐑𝐞𝐜𝐞𝐧𝐭 𝐖𝐢𝐧𝐬) 1. Triton-backed real-time CCTV analytics across multiple cameras on commodity GPUs (dynamic batching = buttery latency). 2. Visual matching pipelines (Siamese/Triplet) for search/dedupe with rigorous evals and W&B tracking. 3. Heavy research models → ONNX/TensorRT → low-latency services that actually survive production traffic. 4. Production plumbing that lasts: Postgres-first data contracts, webhook fan-out, n8n automations... no brittle glue. 𝐇𝐨𝐰 𝐖𝐞’𝐥𝐥 𝐖𝐨𝐫𝐤 (𝐑𝐎𝐈 𝐅𝐢𝐫𝐬𝐭, 𝐀𝐥𝐰𝐚𝐲𝐬) 1. 30-min discovery → lock in the KPI (latency, accuracy, throughput, cost). 2. Roadmap & estimate → phases, risks, acceptance tests. 3. Build & validate → baselines first, then iterate; measurable deltas each milestone. 4. Handoff & scale → docs, runbooks, and knowledge transfer so your team owns it. 𝐂𝐨𝐫𝐞 𝐒𝐭𝐚𝐜𝐤 Python • PyTorch • TensorRT • ONNX Runtime • NVIDIA Triton • OpenCV • Kornia • FFmpeg • PyAV/decord • Postgres • Redis • Milvus/Qdrant • FastAPI/Flask • Next.js • Docker • Nginx • Weights & Biases • Webhooks • n8n • MCP 𝐀𝐯𝐚𝐢𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲 Consulting/part-time (fractional) engagements: architecture reviews, performance tuning, prototypes, or owning a CV/ML workstream. Top-rated on Upwork. Minimum $100/hr. If you want production-ready computer vision, real-time video, reliable pipelines, and clear ROI, 𝐥𝐞𝐭’𝐬 𝐭𝐚𝐥𝐤. I’ll map your goal to a pragmatic plan and ship results you can measure.

🔒 Risk-Free Guarantee Risk-free trial: If you’re not satisfied with the quality of leads, I’ll refund your payment. ❌ The Problem Many bulk lead lists are outdated, inaccurate, or filled with expired contacts. This wastes your time, money, and effort, leaving you chasing dead ends instead of real opportunities. ✅ The Solution I provide fresh, verified leads that are recently published and cross-checked directly with county websites. Each lead undergoes premium phone number verification, ensuring you connect with the right people and maximize your chances of closing deals. 💡 Why Choose Me Verified from official county sources Premium contact search for accuracy Fresh, up-to-date data — no expired leads Asif Hussain

I automate the repetitive, connect the disconnected, and wire AI into your business — so your team focuses on work that actually needs humans. With 15+ years in software development and deep hands-on experience in n8n, Make, LLM APIs, and WhatsApp automation, I build production-grade AI workflows — not demos. Every system I deliver runs reliably, handles edge cases, and comes fully documented. What I build: — AI agents that reason, decide, and act autonomously — WhatsApp bots for lead capture, qualification, and CRM sync — n8n / Make multi-step workflows connecting any tool or API — GPT-4, Claude, Gemini integrations into real business processes — CRM automation — leads in, follow-ups out, zero manual work — AI-powered data pipelines for processing, enrichment, and reporting Why clients choose me: — Full-stack engineering background — I build what no-code can't handle — Built real AI systems: sentiment analysis on live audio, YOLO machine vision, real-time market data pipelines — Every delivery is documented and handoff-ready — your team can maintain it without me — I scope before I build — clear plan and timeline before any work starts Tools: n8n · Make · WhatsApp Business API · GPT-4 / Claude API · LangChain · Zapier · Python · FastAPI · PostgreSQL · Redis · Twilio · HubSpot · Zoho · Airtable · Google Workspace · Supabase Tell me what you want automated. I'll respond with exactly how I'd build it — before you hire me.

Hello, I am a professional Data Analyst and Statistician with over seven years of experience in data analysis and five years of teaching elementary statistics courses, including Basic Statistics. My expertise lies in collecting, cleaning, analyzing, and visualizing complex datasets to drive meaningful insights and support data-driven decision-making. I specialize in: ✔ Data Wrangling & Cleaning – Ensuring data accuracy and consistency ✔ Exploratory Data Analysis (EDA) – Identifying trends and patterns ✔ Statistical Analysis & Modeling – Applying advanced statistical techniques ✔ Data Visualization & Reporting – Creating insightful dashboards and reports ✔ Predictive Analytics & Forecasting – Leveraging data for future insights I am proficient in a wide range of industry-standard tools and platforms, including: 🛠 Statistical & Analytical Tools: R, Python (NumPy, pandas, statsmodels), SPSS, EVIEWS, Minitab 📊 Data Visualization & Dashboard Tools: Power BI, Tableau, Google Data Studio (Looker Studio), Excel Dashboards, Zoho Analytics, Metabase, Superset 🧹 Data Management & Cleaning: MS Excel (advanced), SQL, OpenRefine 📈 Machine Learning & Forecasting: Time Series Models 📦 Survey & Research Tools: REDCap, KoboToolbox, Google Forms ☁ Cloud & Collaboration: Google Sheets, Microsoft 365, Jupyter Notebook, GitHub I am committed to delivering accurate, actionable insights, meeting deadlines, and ensuring 100% client satisfaction. Please feel free to reach out I’d be happy to assist you with your data analysis needs. Best regards, Ghulam Murtaza

👋 𝗔𝗯𝗼𝘂𝘁 𝗠𝗲 Hey, I'm Dev—an AI Engineer who loves building smart, real-world AI solutions. I specialize in 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴, 𝗡𝗟𝗣, 𝗱𝗲𝗲𝗽 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴, 𝗮𝗻𝗱 𝗰𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝘃𝗶𝘀𝗶𝗼𝗻. Whether it's fine-tuning large language models, creating biometric systems, or developing AI-powered apps, I’ve got it covered. 🔧 𝗦𝗸𝗶𝗹𝗹𝘀 ➊. 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀 & 𝗧𝗼𝗼𝗹𝘀: Python, SQL, JavaScript, HTML/CSS ➋. 𝗔𝗜 & 𝗠𝗟:TensorFlow, PyTorch, Keras, Scikit-learn, LangChain, OpenCV ➌. 𝗪𝗲𝗯 𝗗𝗲𝘃: ReactJS, Django ➍. 𝗢𝘁𝗵𝗲𝗿 𝗧𝗼𝗼𝗹𝘀: Photoshop, Final Cut Pro, Da Vinci Resolve 🚀 𝗦𝗼𝗺𝗲 𝗘𝘅𝗰𝗶𝘁𝗶𝗻𝗴 𝗔𝗜 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗜'𝘃𝗲 𝗪𝗼𝗿𝗸𝗲𝗱 𝗼𝗻 𝗥𝗲𝗰𝗲𝗻𝘁𝗹𝘆: ✅ 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗖𝗵𝗮𝘁𝗯𝗼𝘁 (𝗟𝗹𝗮𝗺𝗮 𝟮) – Fine-tuned for better dialogue coherence. ✅ 𝗠𝗮𝘀𝗸𝗲𝗱 𝗙𝗮𝗰𝗲 𝗜𝗗 𝗦𝘆𝘀𝘁𝗲𝗺 – Built a biometric system that works even with masks. ✅ 𝗔𝗜 𝗜𝗺𝗮𝗴𝗲 𝗖𝗮𝗽𝘁𝗶𝗼𝗻𝗶𝗻𝗴 & 𝗢𝗯𝗷𝗲𝗰𝘁 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 – Automated descriptions & object recognition. ✅ 𝗠𝘂𝗹𝘁𝗶𝗹𝗶𝗻𝗴𝘂𝗮𝗹 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗧𝗿𝗮𝗻𝘀𝗹𝗮𝘁𝗶𝗼𝗻 – Created an AI-driven translation system. ✅ 𝗔𝘂𝘁𝗼 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝘄𝗶𝘁𝗵 𝗥𝗲𝗹𝗲𝘃𝗮𝗻𝗰𝗲.𝗮𝗶 – used AI agents to track competitors, generate SEO blogs, and auto-publish to WordPress. 30% more traffic, 60% faster output. 🧑‍🔬 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗪𝗼𝗿𝗸 📌 𝗘𝗮𝗿𝗦𝗶𝗮𝗺𝗡𝗲𝘁 – Biometric authentication using Siamese Networks. 📌 𝗚𝗹𝗶𝗼𝗺𝗮 𝗧𝘂𝗺𝗼𝗿 𝗖𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 – AI-assisted medical diagnostics. 📌 𝗦𝘁𝘂𝗱𝗲𝗻𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 – Improving knowledge transfer with GradCAM. 🎯 𝗪𝗵𝘆 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲? I mix research-backed AI knowledge with hands-on development to build 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹, 𝗵𝗶𝗴𝗵-𝗶𝗺𝗽𝗮𝗰𝘁 𝗔𝗜 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀. If you need someone who can 𝗯𝗿𝗶𝗻𝗴 𝗔𝗜 𝗶𝗱𝗲𝗮𝘀 𝘁𝗼 𝗹𝗶𝗳𝗲, 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗲 𝗺𝗼𝗱𝗲𝗹𝘀, 𝗼𝗿 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗲 𝗠𝗟 𝗶𝗻𝘁𝗼 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁, let's chat! 🚀