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I’m a senior developer with multiple years of experience in building production-ready AI chatbots, workflow automations, backend APIs, and full-stack applications. I help clients/businesses automate repetitive work, connect their tools, and ship reliable software that is secure, maintainable, and easy to extend after delivery. My main areas of expertise are: AI Chatbots & Agents: RAG-powered chatbots, AI assistants, document-based Q&A, tool-calling agents, MCP integrations, and systems that can retrieve knowledge and take real actions. Workflow Automation: Python scripts, API integrations, AI-powered automations, data pipelines, reporting tools, and internal systems that save teams hours every week. Backend Development: Secure, scalable APIs and services using Python, FastAPI, Django, Flask, and Rust. API Integrations: Google Maps, GitHub, YouTube, Gmail, CRMs, internal tools, third-party platforms, and custom API workflows. Full-Stack Development: Modern frontends with TypeScript, Next.js, React, Vue, or Svelte when a complete end-to-end product is needed. Deployment & DevOps: Cloud Run, Firebase, AWS, Supabase, Railway, Render, Linux VPS deployments, CI/CD, and GitHub Actions. I have a strict no vibe-coding approach. I use AI to move faster, but every line of code is reviewed for maintainability, readability, security, and performance. You get production-grade work that another developer can understand, extend, and maintain. Clients usually hire me when they need: - An AI chatbot connected to documents, tools, or internal systems - A reliable automation that eliminates repetitive work - A backend/API built properly from the start - A broken or half-built AI project cleaned up and made production-ready - A full-stack app deployed and running smoothly If your project involves AI chatbots, RAG, MCP, intelligent agents, workflow automation, backend architecture, API integrations, or cloud deployment, send me a message. I reply quickly and can help you choose the best technical approach.

I have spent 8 years at the intersection of data, AI, and the question nobody wants to ask “does it actually deliver results?” From forecasting systems to LLM pipelines and autonomous multi-agent systems built for real world problems where off-the-shelf solutions fail. The tools change with every project. The bar doesn't. Here is an overview of my Stack 𝗠𝗟 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM, CatBoost, statsmodels 𝗟𝗟𝗠𝘀 & 𝗡𝗟𝗣: Open AI, Claude, Gemini, Grok, LLaMA, Mistral, DeepSeek, BERT, BART, SetFit, HuggingFace 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: LangChain, LangGraph, RAG Pipelines, n8n, Make, OpenAI API, Anthropic API, Lovable, OpenClaw 𝗩𝗲𝗰𝘁𝗼𝗿 & 𝗦𝗲𝗮𝗿𝗰𝗵: Pinecone, FAISS, ChromaDB, SentenceTransformers, Embeddings 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: pandas, NumPy, Parquet, Airflow, dbt, ETL Pipelines 𝗔𝗣𝗜𝘀 & 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴: FastAPI, Flask, WebSocket, PRAW, BeautifulSoup, Selenium 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Matplotlib, Seaborn, Plotly, Tableau, PowerBI, SHAP 𝗖𝗹𝗼𝘂𝗱 & 𝗜𝗻𝗳𝗿𝗮: AWS EC2, SageMaker, AWS Bedrock, Firebase, Docker, VPS 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 & 𝗔𝗽𝗽𝘀: React, Next.js, Streamlit, Gradio, Lovable 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀: Gmail API, Google Calendar API, WhatsApp API, Stripe, PayPal, Odoo You can get a feel for the work pretty quickly. Here's a slice. → 𝗔𝗜 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 • Built a 𝒇𝒖𝒍𝒍-𝒄𝒚𝒄𝒍𝒆 𝑨𝑰 𝒉𝒊𝒓𝒊𝒏𝒈 𝒑𝒊𝒑𝒆𝒍𝒊𝒏𝒆 using n8n to orchestrate OpenAI-powered resume parsing with Gmail, Google Sheets, and Calendar APIs reducing 𝐻𝑅 𝑚𝑎𝑛𝑢𝑎𝑙 𝑤𝑜𝑟𝑘𝑙𝑜𝑎𝑑 𝑏𝑦 80% with centralized candidate tracking and automated scheduling. • Developed 𝒂 𝒓𝒆𝒂𝒍-𝒕𝒊𝒎𝒆 𝑨𝑰 𝒗𝒐𝒊𝒄𝒆 𝒂𝒈𝒆𝒏𝒕 supporting voice-to-voice, speech-to-text and text-to-text conversations via FastAPI and WebSocket with ultra low latency using GPT for dialogue management. • Built an 𝑨𝑰 𝒑𝒐𝒘𝒆𝒓𝒆𝒅 𝒕𝒆𝒍𝒆𝒎𝒆𝒅𝒊𝒄𝒊𝒏𝒆 𝒑𝒍𝒂𝒕𝒇𝒐𝒓𝒎 on Next.js and Firebase with role-based AI prompts, automated symptom collection and 𝑟𝑒𝑎𝑙 𝑡𝑖𝑚𝑒 𝑐𝑙𝑖𝑛𝑖𝑐𝑎𝑙 𝑖𝑛𝑠𝑖𝑔ℎ𝑡𝑠 for patient doctor interaction. → 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 & 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 From pharmaceutical supply chains to crypto markets, I build forecasting systems that drive real inventory, budget and trading decisions. • Built a 3𝑴+ 𝒓𝒆𝒄𝒐𝒓𝒅 𝒑𝒉𝒂𝒓𝒎𝒂 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒔𝒚𝒔𝒕𝒆𝒎 pipeline: XGBoost R²=0.90, 20% accuracy gain, 17-chart EDA uncovering SKU concentration risk and billing-cycle demand patterns • 𝑪𝒓𝒄𝒓𝒚𝒑𝒕𝒐 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒎𝒐𝒅𝒆𝒍𝒔 using ARIMA + Reddit sentiment (PRAW + SetFit) → BUY/SELL/HOLD signals for BTC, ETH, SOL, DOGE • 𝑫𝒆𝒎𝒂𝒏𝒅 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒑𝒊𝒑𝒆𝒍𝒊𝒏𝒆 (LR, XGBoost, RF, LSTM) achieving R²~0.99 used car price prediction deployed via Flask → 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 I build classification, regression, and validation systems with rigorous evaluation not just accuracy scores but defensible, 𝒑𝒓𝒐𝒅𝒖𝒄𝒕𝒊𝒐𝒏-𝒓𝒆𝒂𝒅𝒚 𝒎𝒐𝒅𝒆𝒍𝒔. • SVM, Gradient Boosting, MLP, XGBoost, Logistic Regression always with GridSearch and KFold CV for hyperparameter integrity • Diabetes detection: 86% accuracy on 3-class imbalanced clinical dataset with feature engineering and undersampling experiments → 𝗡𝗟𝗣 & 𝗟𝗟𝗠-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 I combine classical text modeling with modern LLMs to extract structured insight from unstructured data at scale. • Claude 3.5 Sonnet (AWS Bedrock) + BART MNLI + SentenceTransformer pipeline quantifying open ended survey sentiment for fragrance product strategy • Real-time Reddit 𝒔𝒆𝒏𝒕𝒊𝒎𝒆𝒏𝒕 𝒅𝒂𝒔𝒉𝒃𝒐𝒂𝒓𝒅 for ASTS ticker upvote-weighted transformer scoring with daily trend visualization • 𝑻𝒆𝒙𝒕 𝑪𝒍𝒂𝒔𝒔𝒊𝒇𝒊𝒆𝒓 across disaster tweets (TFIDF, 80%), IMDB reviews (LSTM, 86%) and news categorization (CNN + GloVe, 75%) • GPT-4o, Claude, LLaMA, Grok and Mistral used as deliberate data enrichment and annotation tools inside ML pipelines I work with startups building their first AI product, enterprises with complex data problems, and individuals with unique challenges nobody else wants to touch. If the problem is hard and the data is messy that's exactly where I do my best work. Send me a message and let's figure out if I'm the right fit. I will tell you within 24 hours whether I can help and how.

Python • AI Integration • AI Automation • FastAPI • Flask • Django • Backend Development • SaaS Development • MVP Development • AI Agent Development • Prompt Engineering • N8N • Zapier • Data Engineering • Business Process Automation I build production-grade SaaS platforms, AI-integrated products, and business automation systems for founders and CTOs who need an engineering partner: not a task executor. Over 10+ years and 190+ completed projects, I've learned that the real value isn't writing code on request: it's understanding the business problem well enough to make the right technical call, then owning that decision through to production. What I Deliver AI Integration & Automation : OpenAI and Claude API integration with proper prompt engineering, AI agent workflows for multi-step task automation, plus process automation built in N8N and Zapier that removes manual steps from a client's process. Backend & SaaS Development : Production-grade backends built primarily with Python (FastAPI, Flask, Django) full SaaS products and MVPs built end to end. Also comfortable working in Ruby on Rails when a client's existing codebase or team calls for it. I design APIs for real production load authentication, async processing, clean data models. Business Process Automation & Data Engineering, Python-based ETL pipelines and data acquisition systems that turn scattered information into structured, usable business intelligence collection, cleaning, transformation, delivery into a database or dashboard your team can use. Chrome Extension Development, Custom browser extensions for automation, data capture, and workflow tools, shipped and used in production. Proven Results Euka AI: AI-powered CRM for social commerce. Built core platform features including dashboard workflows, creator discovery and outreach automation, campaign management, and API integrations. ContentDrafter: AI SaaS platform for automated content generation with subscription-based access. Built the AI integration layer, prompt workflow system, authentication, and scalable backend APIs. Optima CRM: Custom CRM for sales pipeline and customer management. Delivered dashboards, lead management, role-based access control, and reporting end to end. Qreates: AI-powered SaaS platform converting product images into interactive 3D visualizations. Built the end-to-end pipeline: image workflows, AI processing, rendering integration. Market Intelligence Pipeline : Python data pipeline surfacing pricing and inventory signals across marketplaces for automated sourcing decisions. Brand Protection System: Automated data acquisition tool paired with an AI-driven analysis dashboard for continuous competitive monitoring. Tech Stack Python • FastAPI • Flask • N8N • Zapier • React • Next.js • Node.js • Express • MongoDB • OpenAI API • Claude API • PostgreSQL • AWS • REST APIs • Selenium • Scrapy • Playwright How I Work I start by understanding the business problem before touching the stack what the automation needs to solve, what the AI feature needs to do for the user, what "done" looks like for the MVP you're asking for. I scope clearly, flag risks early, and build for where your product is going in six months, not just this week's ticket. Why Clients Hire Me Clients consistently cite fast communication, daily progress updates, and code that doesn't need a second developer to fix it later. On more than one project, I've flagged a requested feature that would have caused problems at scale and proposed an alternative before writing a line of code. Let's Build If you need a Python developer who can integrate AI meaningfully, automate a manual process, or build your SaaS MVP end to end, let's talk about what you're building.

TOP 1% in Python and Django Full-stack Development "Hammad is a joy to work with. We highly recommend him!" - Client Feedback from CEO of Spot Health. With a proven track record in Python and Django development, I help my clients achieve remarkable outcomes in software projects of all sizes. From launching new applications to scaling and enhancing existing systems, I’m ready to turn your vision into reality. For the past 5 years, I’ve successfully delivered a wide range of services: ✅ Full-stack software development ✅ Web and mobile app development ✅ Digital transformation solutions ✅ Custom API development and integration ✅ Prototyping (POC) and Minimum Viable Product (MVP) ✅ Cloud infrastructure development I work globally with clients from diverse industries, helping fill technical gaps, leading dev teams, and supporting end-to-end project needs. Key industry experience includes: 🔸 Health-Tech. 🔸 FinTech. 🔸 Food & Beverage. 🔸 Supply Chain. 🔸 Real Estate & Construction 🔸 eCommerce / Retail My main tech stack: ☑️ Python ☑️ Django & Django REST Framework ☑️ Flask & FastAPI ☑️ PostgreSQL ☑️ Celery ☑️ Docker ☑️ Cloud Solutions (DigitalOcean, Heroku, Linode) If you’re looking for a skilled partner to bring your project to life, let's connect and start building!

Full-Time Freelancer Specializing in Web Scraping & Automation with Python With several years of hands-on experience, I help businesses collect and automate web data efficiently and reliably. Want to beat your competition? I can help you monitor:     • Competitor prices     • Stocks, funds, sports odds, and betting data     • E-commerce product availability and pricing     • OpenSea/NFT marketplace listings Need targeted data? I can scrape and automate:     • Amazon prices and stock levels     • LinkedIn profiles and company pages     • Emails from LinkedIn     • Convert Sales Navigator profile URLs to public profile URLs     • Emails and phone numbers from Craigslist Technologies I work with:     Python Scrapy Framework     Python Selenium     SeleniumBase     Selenoid / Moon by Aerokube     NoDriver (Headless API-based scraping)     n8n automation Databases:     MySQL     MongoDB     PostgreSQL Output Formats:     Google Sheets     CSV / Excel Cloud & Infrastructure:     Amazon Web Services (AWS)     Heroku     DigitalOcean Other Skills:     Docker Notable Projects:     • Built a system that updates price and stock data for over 2 million Amazon products     • Developed a price comparison platform tracking 20+ major e-commerce websites     • Created advanced LinkedIn automation tools using Selenium for profile and lead scraping

I reduced false-positive alerts by 82% for a power plant client, took an NLP system from 7% to 67% accuracy while cutting 700 manual rules down to 5, and dropped daily complaints by 60% for a telecom with over a million customers. That's the kind of AI and machine learning I build: work that moves a real number, not a demo that dies after the pitch. I build: • Custom ML models and predictive analytics (XGBoost, Scikit-learn, anomaly detection, demand and sales forecasting) • NLP and LLM systems (BERT fine-tuning, sentiment analysis, entity recognition, text summarization) • RAG chatbots and AI agents (LangChain, LlamaIndex, OpenAI/ChatGPT, Neo4j knowledge graphs, vector databases like Milvus and Pinecone) • Computer vision applications (image processing, colorization, OpenCV) • Data engineering pipelines (ETL, Airflow, Kafka, AWS Lambda, S3, Step Functions) • Web scraping and data collection at scale (Selenium, Scrapy, Apify) • Interactive dashboards and reporting tools (Plotly, Dash, Bokeh) Delivered this work across healthcare, insurance, telecom, energy, retail, e-commerce, restaurants, recruitment, social media, automotive, education, and maritime shipping, for clients in the US, UK, Canada, UAE, Australia, Europe, and Brazil. Stack: Python, Django, Flask, FastAPI, TensorFlow, Keras, Hugging Face Transformers, OpenAI API, LangChain, Docker, AWS, PostgreSQL, MySQL, Pandas, NumPy. I scope clearly before writing code, give honest feedback if your spec has gaps, and send regular updates instead of going dark until the deadline. Message me with what you're building, and I'll tell you straight whether I're the right fit.