A good SaaS or AI product needs more than clean screens. It needs a 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗯𝗮𝗰𝗸𝗲𝗻𝗱, 𝗰𝗹𝗲𝗮𝗿 𝗱𝗮𝘁𝗮 𝗳𝗹𝗼𝘄, 𝘀𝗲𝗰𝘂𝗿𝗲 𝗔𝗣𝗜𝘀, 𝘀𝘁𝗮𝗯𝗹𝗲 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀, 𝗮𝗻𝗱 𝗔𝗜 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀 that actually fit the business workflow. I help build complete, 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝘀𝘆𝘀𝘁𝗲𝗺𝘀, from backend architecture, 𝗔𝗜 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻, 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀, 𝗔𝗣𝗜𝘀, Whether it’s a new idea, a messy existing system, or a half-built MVP, I can turn it into a stable, scalable product 𝗖𝗼𝗿𝗲 𝗮𝗿𝗲𝗮𝘀 𝗜 𝗰𝗮𝗻 𝗵𝗲𝗹𝗽 𝘄𝗶𝘁𝗵: • 𝗙𝘂𝗹𝗹-𝘀𝘁𝗮𝗰𝗸 𝗦𝗮𝗮𝗦 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 • 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝘄𝗲𝗯 𝗮𝗽𝗽𝘀 and internal tools • 𝗟𝗟𝗠 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀 using OpenAI, GPT-4o, Gemini, LangChain, RAG, embeddings, vector search, and structured outputs • 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 using Python, FastAPI, Django, Flask, Node.js, Go, and Java • 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 using React, Next.js, Vue.js, TypeScript, and modern UI architecture • 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 𝗮𝗻𝗱 𝗱𝗮𝘁𝗮 𝗺𝗼𝗱𝗲𝗹𝘀 using PostgreSQL, MongoDB, Redis, SQLite, Supabase, BigQuery • 𝗔𝗣𝗜 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀 with webhooks, OAuth, Stripe, PayPal, Twilio, QuickBooks, CRM systems, KYC flows, calendars, and third-party platforms • 𝗖𝘂𝘀𝘁𝗼𝗺 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 using Python scripts, backend workflows, scheduled jobs, ETL pipelines, background workers, and event-driven systems • 𝗘𝘅𝗶𝘀𝘁𝗶𝗻𝗴 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗮𝘂𝗱𝗶𝘁𝘀, refactoring, debugging, performance improvements, and production stabilization 𝗧𝗵𝗲 𝗸𝗶𝗻𝗱 𝗼𝗳 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗜 𝘂𝘀𝘂𝗮𝗹𝗹𝘆 𝗯𝘂𝗶𝗹𝗱 𝗶𝗻𝗰𝗹𝘂𝗱𝗲: • SaaS platforms with multi-role workflows • AI copilots and LLM-powered business tools • Admin panels and customer dashboards • Data-heavy internal platforms • API-first backend systems • Custom workflow automation and background job systems • Real-time processing and reporting tools • Payment, communication, CRM, and operations integrations 𝗪𝗵𝗮𝘁 𝗺𝘆 𝗽𝗿𝗲𝘃𝗶𝗼𝘂𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗼𝗳𝘁𝗲𝗻 𝗮𝗽𝗽𝗿𝗲𝗰𝗶𝗮𝘁𝗲 𝗶𝘀 𝘁𝗵𝗮𝘁 I combine practical product engineering with a strong technical foundation. My background includes a 𝗣𝗵𝗗 𝗶𝗻 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲, experience at 𝗔𝗺𝗮𝘇𝗼𝗻, and years of building AI-powered applications, scalable backend systems, and data-driven platforms. This combination helps me make sound technical decisions 𝘄𝗵𝗶𝗹𝗲 𝗸𝗲𝗲𝗽𝗶𝗻𝗴 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗴𝗼𝗮𝗹𝘀 𝗮𝗻𝗱 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝘂𝘀𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗶𝗻 𝗳𝗼𝗰𝘂𝘀. 🤝𝙃𝙖𝙫𝙚 𝙨𝙤𝙢𝙚𝙩𝙝𝙞𝙣𝙜 𝙘𝙤𝙢𝙥𝙡𝙚𝙭 𝙮𝙤𝙪’𝙧𝙚 𝙩𝙧𝙮𝙞𝙣𝙜 𝙩𝙤 𝙗𝙪𝙞𝙡𝙙 𝙤𝙧 𝙛𝙞𝙭? 𝙎𝙚𝙣𝙙 𝙢𝙚 𝙖 𝙢𝙚𝙨𝙨𝙖𝙜𝙚, 𝙖𝙣𝙙 𝙬𝙚 𝙘𝙖𝙣 𝙩𝙖𝙡𝙠 𝙩𝙝𝙧𝙤𝙪𝙜𝙝 𝙩𝙝𝙚 𝙗𝙚𝙨𝙩 𝙖𝙥𝙥𝙧𝙤𝙖𝙘𝙝.

Hi! I’m a Python Developer with 5+ years of experience in developing apps and scripts using Python. For every app I build, I write tests with 100% code coverage. The main areas of my expertise are: Automation software: Develop scripts and GUI apps to automate any tedious, repetitive, or difficult task. Creation of bots, Reliable Notification systems, Simulation of human-like behavior during automation, Automation of WhatsApp, Youtube, Facebook, etc. Libraries used-- Selenium, pyautogui For GUI apps-- PyQt, Kivy, PySimpleGUI Web Scraping: Scraping any content of web, scripts which use proxies when needed, get contents which need javascript to be loaded, bypass various site restrictions like IP block, user agent change. Multi threads and multiple processes to scrape huge contents in a short time. Filter scraped data and store them in databases like SQLite and MySQL. Scraping of Youtube and Facebook comments as well as tweets. Libraries used-- BeautifulSoup, requests, Scrapy, Selenium, etc. Web & API Development: Develop web apps using frameworks like Django and Flask. Dynamic and Interactive sites. Generation of site stats and visitor stats from code itself. Develop REST API using flask, djangorestframework, and FastAPI. Frontend also managed with Vue.js, material CSS, bootstrap, custom CSS, etc. Libraries used-- Django, Flask, FastAPI, djangorestframework Data Analysis: Analysis of huge volumes of data using libraries like NumPy and pandas. Plotting those data and making an interactive dashboard based on that data using libraries like dash. Analysis of live data, filtering of data, filling of missing values, generating conclusions from data. Libraries used-- scipy, numpy, pandas, Dash, Plotly, etc. Machine Learning & AI: I’m also a learner and experimenter in this sector. Linear and Logistic regression models, Deep Neural Network models, and deploying those models on the web. Text summarizer and keywords generators using various APIs and libraries like nltk. Prepare models which can give excellent predictions based on data provided. Prepare scripts that can make some level of intelligent decisions. Libraries used-- PyTorch, Keras, nltk, scikit-learn Other things I have worked with: Docker, Javascript, Deploying in Cpanel, deploying sites in Linux servers, Mobile App Development, Database Management, CI/CD pipelines, Git, encryption & hashes, Virtual Machines.

I'm a developer for AI and webservices with theoretical foundation in AI models (LLMs, classifiers, neural network). I have experience shipping all these models to production, usually taking a few weeks or 1-2 months depending on the applications, from requirements discussions, architecture decisions to testing and deployment. - experience with AI technology, LLMs(GPT, Llama, Mistral, ...) - Python/Java backend development to integrate AI into your architecture - Consulting and review of AI opportunities for customer needs

I am a computer engineer and AI-focused backend developer with more than a decade of experience in education, research, and real-world system building. Since 2013, I have worked as a professor at Universidad Técnica del Norte, where I have taught computer engineering and helped grow many highly capable engineers now working in industry. Alongside teaching, I have continuously expanded my expertise in challenging areas such as artificial intelligence, machine learning, and large-scale system design, building a strong and practical technical foundation. My work sits at the intersection of AI, backend engineering, automation, and data. I help teams take unclear ideas, raw data, or manual workflows and turn them into clean, reliable, production-ready systems that work day to day. On the AI side, I focus on practical LLM applications rather than demos. This includes RAG pipelines, multi-agent systems, chatbots with memory, document processing, semantic search, classification, extraction, and automation workflows. I have hands-on experience with LangChain, Hugging Face, OpenAI, Claude, and vector databases such as Pinecone and FAISS, including fine-tuning when it makes sense. My priority is always usefulness, reliability, and maintainability. Backend engineering is a core strength. I design and build APIs, services, and data pipelines using Python with FastAPI, Flask, and Django. I care deeply about clean architecture, performance, and systems that are easy to extend and maintain over the long term. I also have a strong background in automation and data engineering. I have built web scrapers, crawlers, ETL pipelines, data cleaning systems, reporting tools, dashboards, and bots for years. My focus is on stability and resilience, not fragile scripts that break after a short time. Deployment and infrastructure are part of my workflow, not an afterthought. I regularly deploy and operate systems on AWS, GCP, and Azure, using Docker, CI/CD pipelines, and serverless or containerized architectures depending on the project’s needs. I have worked with universities, companies, startups, and individual founders, often acting as a technical partner rather than just a task-based freelancer. I take time to understand the business goal first, then design a technical solution that fits it. I joined Upwork in 2016 out of interest and haveused the platform just to enjoy my creative hobby projects such as design and visual work, not for my major. But always, I couldn't spare time for it. Over the years, I closely followed the platform’s growth and always wanted to collaborate with global clients. I recently retired from my academic-related work and can now dedicate myself to professional freelance activities. What you can expect when working with me: - production-ready AI and backend systems - clear communication and realistic estimates - strong ownership and responsibility - solutions designed to scale and last If you are looking for someone who can combine AI, backend engineering, automation, and data into one solid, dependable system, I would be glad to work with you.

built bots that fired 3 interns...true story — shipped a bot, 3 interns gone the next week. I build complete systems from concept to deployment — React/Next.js frontends, Python/Node.js backends, AI integrations, and data pipelines that handle millions of requests daily. 🚀 What I'm excellent at: Full-Stack Development - Modern frontends with React, Next.js, TypeScript, Tailwind CSS - Production backends with Python, Node.js/Express - AI/LLM integration (OpenAI GPT, Google Gemini, custom models) - Complete SaaS architecture from auth to payments (Stripe, OAuth 2.0) 🟡 I'm competent at (but not specialized): - DevOps beyond Docker/basic CI/CD - Native mobile development (web-first approach) - Large-scale Kubernetes cluster management ❌ Not my expertise: - UI/UX design or branding - SEO content writing or marketing campaigns - Native iOS/Android from scratch Last CTO asked if he was next. I said, “Only if you’re repetitive.”

Python Developer with 5+ years building production backends, web scrapers, and automation systems. I specialize in Django, FastAPI, Selenium, Scrapy, Playwright, and AI automation — delivering scalable APIs, intelligent crawlers, and bots that turn manual work into reliable, automated pipelines. ⭐ 889+ hours billed on Upwork across 19 successful projects ⭐ Backend systems handling millions of records with PostgreSQL, Redis & Docker ⭐ Data scraping for JavaScript-heavy sites and dynamic content ⭐ AI-powered automation with OpenAI, Claude, LangChain & LangGraph ⭐ Clean, tested, production-ready code 🔹 What I build for clients: - High-performance REST & async APIs with FastAPI, Django, and Flask - Web scraping & data extraction with Selenium, Scrapy, Playwright, BeautifulSoup - Automation bots for data collection, workflow, messaging, and desktop tasks - AI agents & LLM workflows with LangChain, LangGraph, OpenAI, and Claude - ETL pipelines with PostgreSQL, MySQL, Redis, and Celery - Dockerized deployments with CI/CD on AWS, Render, and DigitalOcean - Secure authentication with JWT, OAuth2, and role-based access control 🔹 Python Backend Development I design backend architectures that handle real workloads — microservices with FastAPI and Django, async PostgreSQL queries, Celery + Redis for background jobs, and RabbitMQ for distributed tasks. I build APIs that integrate cleanly with third-party services (Stripe, Twilio, OpenAI, Google APIs) and deploy them with Docker and Nginx for fault-tolerant production environments. 🔹 Web Scraping & Data Extraction I build Python scrapers that handle complex sites — dynamic React/Vue/Angular content, authenticated sessions, and public REST/GraphQL APIs. I work with both browser automation (Selenium, Playwright) and pure HTTP scrapers (Scrapy, Requests) depending on what the target source needs. Data is cleaned, validated, and delivered in CSV, JSON, Excel, or directly to your database. I only work with public data or sources you have authorization to access. 🔹 AI Automation & LLM Integration I build production-grade AI systems using LangChain, LangGraph, and Langfuse — from simple LLM workflows to multi-agent systems with tool use, memory, and state management. I integrate OpenAI, Claude, and other LLM APIs for text parsing, data enrichment, classification, summarization, and intelligent agents. I build RAG systems with vector databases (Pinecone, Chroma, pgvector), prompt pipelines, and AI-powered ETL flows that turn unstructured data into structured business insights. With Langfuse, I add full observability — tracing, evaluation, and cost monitoring for every LLM call in production. 🔹 Selected Projects - AI-Powered Job Data Pipeline — Async FastAPI ETL ingesting XML feeds, AI enrichment, syncing to external APIs via Docker - Script Marketplace Platform — FastAPI + Docker SDK platform running isolated bot containers with task scheduling and live monitoring - Browser Automation Desktop App — Tkinter-based tool with advanced Selenium logic, session handling, and modular UI - Multi-Tenant E-Commerce ERP — Django + gRPC + Stripe + PostgreSQL with real-time order tracking - Financial Intelligence Dashboard — Python Dash analytics platform for structured financial data - PyQt5 WhatsApp Automation — Desktop messaging automation with a polished GUI - HLS to RTSP Conversion API — FastAPI service for live video stream conversion 🔹 Frontend (when needed) I focus on Python backend, but I can build clean, functional UIs in React, HTML, CSS, and JavaScript when a project needs an integrated frontend — so you don't have to hire two people for one workflow. 🔹 How I work ✓ Agile development with Git, GitHub, and Jira ✓ Clear daily communication and status updates ✓ Clean, modular code with proper testing and documentation ✓ Honest timelines — I tell you what's realistic, not what you want to hear ✓ Post-delivery support and revisions included 💬 Send me a message with your project details — I respond within a few hours and I'm happy to review your requirements before you commit to anything.

I am a computer engineer by profession. I am a senior and a full stack developer having over 7 years expertise in several programming languages including python, php, Ruby, css, JavaScript, jQuery, and many other languages. I have worked with several startups and I have had several personal projects ranging from web development, machine learning, IoT, data science, mobile application etc. I also have skills in 3d modelling and animation using blender. If you desire a frontend, back end or a full stack developer, you are at the right place. If you require an intelligent programmer for your project, I am the best option available. I am proficient in the following : - python - css - php - jQuery - JavaScript - c++ - MS Excel/Word -- Blender Service Description: + Full website development ( single page, e-commerce, educational website etc) + Design and development of frontend design for websites. + Back end development + 3D Modelling + Internet of things (IoT) + Mobile app development + Web app. Development + Website consultancy services + Web development tutoring services

I help startups, SaaS companies, and enterprises turn ideas into AI-powered products, intelligent automation systems, scalable APIs, and modern software platforms that reduce operational costs, automate workflows, and accelerate business growth. As an AI Engineer with 8+ years of experience, I specialize in building production-ready AI applications, AI Agents, AI-powered SaaS platforms, Automation, workflow automation systems, Software Development, AI Agent Development, and full-stack products that solve real business problems and create measurable value. My expertise spans the full AI lifecycle, including Generative AI, AI Agents, Machine Learning, Natural Language Processing (NLP), Computer Vision, Automation, AI Automation, Workflow Automation, AI Integration, AI Agent Development, AI API Integration, and production-grade AI deployment. Unlike many AI specialists who focus only on models, prompts, or integrations, I draw on my full-stack expertise to build the entire product, not just the AI feature. From AI architecture and automation workflows to APIs, backend systems, SaaS platforms, and full-stack applications, I help businesses turn ideas into production-ready solutions. My areas of expertise include: - Generative AI Applications and Large Language Models (LLMs) - AI Agents, Multi-Agent Systems, Autonomous Workflows, and AI Copilots - ChatGPT, GPT-4, Claude, Gemini, OpenAI API, Claude API, and AI Integrations - AI Chatbots, Conversational AI, Knowledge Assistants, and AI-powered Applications - Retrieval-Augmented Generation (RAG), AI Search Systems, and Knowledge Platforms - Machine Learning Models, Predictive Analytics, and Recommendation Engines - Natural Language Processing (NLP), Semantic Search, Embeddings, and Vector Databases - Computer Vision, OCR, Image Processing, and AI-powered Recognition Systems - Zapier, Make, n8n, Monday - JavaScript, React, Next.js, Node.js, PHP, FastAPI, Python, PostgreSQL, MySQL, MongoDB A major part of my work involves helping companies automate operations and eliminate repetitive manual processes through AI Workflow Automation, intelligent system integrations, and AI-powered business automation. I build automation ecosystems using n8n, Zapier, Make, APIs, Webhooks, CRM integrations, AI Agents, and custom automation pipelines that connect AI with sales operations, customer support, internal workflows, reporting systems, and business processes. I also specialize in API Development, API Integration, REST API Development, GraphQL APIs, Backend Architecture, Webhooks, SaaS Integrations, and third-party platform integrations. I regularly build secure and scalable API ecosystems that connect AI systems with CRMs, databases, SaaS products, payment gateways, enterprise tools, and external services. My experience includes integrating: - OpenAI API, Claude API, Gemini API, and custom AI models - Stripe, PayPal, Twilio, Google Maps, and third-party SaaS APIs - HubSpot, Salesforce, GoHighLevel, and CRM platforms - Internal business systems, analytics platforms, and enterprise software Beyond AI and automation, I bring strong Full Stack Development expertise that allows me to build complete products, not just AI features. I develop AI-powered SaaS platforms, Software development, custom web applications, dashboards, admin panels, marketplaces, internal tools, and API-driven systems using React, Next.js, Node.js, FastAPI, Python, PostgreSQL, MongoDB, Firebase, Supabase, GraphQL, REST APIs, Docker, AWS, and modern cloud infrastructure. This enables me to own the entire product lifecycle, from AI architecture and backend engineering to frontend development, integrations, deployment, and scale. To accelerate delivery without sacrificing quality, I leverage modern AI-assisted development workflows using Cursor, Claude Code, Windsurf, GitHub Copilot, Replit, Lovable, and other AI-native engineering tools. This allows faster MVP development, shorter delivery cycles, rapid iteration, and efficient product validation while maintaining production-grade architecture and engineering standards. I regularly help businesses: - Launch AI-powered products and SaaS platforms faster - Build AI Agents and intelligent automation systems - Build MVPs and validate products quickly - Integrate AI into existing software and business workflows - Automate customer support, sales, operations, and reporting processes - Develop machine learning and predictive analytics solutions - Create secure, scalable, production-ready AI applications Whether you're building an AI startup, launching an AI-powered SaaS platform, developing a custom web application, integrating AI into an existing product, developing software, building API-driven systems, or automating business operations, I can help transform the idea into a scalable production-ready solution.

I am a highly experienced AI and Python developer specializing in Machine Learning. With hands-on expertise, I have successfully collaborated with over 767 international clients, delivering effective solutions across various platforms and industries. My projects include developing advanced chatbots, automated email systems, disease and clot prediction models, and real-time data dashboards tailored to client needs. Notable Achievements: AI-Trax Pulmonary Fibrosis: Enhanced prediction accuracy by 73%, surpassing competitors. Memorial University Mental Health Chatbot: Achieved 85% accuracy using open-source LLM and OpenAI API. Mumnoid Animal Classification: Attained 92% accuracy with complex CNN and GNN models. I offer services in machine learning projects, API integration, chatbot development, financial data analysis, and R programming. Eager to expand my expertise on Upwork and help elevate your projects. Let’s connect!

Hi 👋 I help companies move beyond AI prototypes and build production-ready systems, especially AI Agent solutions, RAG pipelines, and LLM-powered automations that actually work in real-world environments. Recently, I built a RAG-based AI Agent that indexed thousands of documents and enabled fast, accurate semantic search across internal data, significantly improving how teams access and use information. 𝐖𝐡𝐚𝐭 𝐈 𝐭𝐲𝐩𝐢𝐜𝐚𝐥𝐥𝐲 𝐛𝐮𝐢𝐥𝐝: AI Agent systems that automate workflows end-to-end Intelligent AI Agent pipelines with reliable retrieval (RAG) FastAPI-based backends powering AI Agent applications Scalable AI Agent integrations across APIs, databases, and cloud systems 𝐇𝐨𝐰 𝐈 𝐰𝐨𝐫𝐤: I handle development directly (no outsourcing) and follow strict confidentiality and code ownership practices. My focus is on delivering systems that are accurate, maintainable, and production-ready, not just demos. 𝐓𝐞𝐜𝐡 𝐬𝐭𝐚𝐜𝐤: Python, FastAPI, LangChain, OpenAI/Claude APIs, vector DBs, AWS/GCP, Docker If you're looking to build or scale an AI Agent system that actually performs in production, happy to connect and discuss.