I build Python backend systems, APIs, and automation workflows using FastAPI and modern Python tools. I help businesses develop scalable backends, integrate APIs, and automate workflows using efficient and production-ready solutions. I am a Python Backend & Automation Engineer specializing in building scalable APIs, backend systems, and workflow automation solutions. I help businesses design and develop reliable backend applications using Python and FastAPI, along with automation systems that improve efficiency and reduce manual work. My core expertise includes: • Python backend development • FastAPI & REST API development • API integration with third-party services • Workflow automation systems • AI-assisted automation workflows (when needed) • Backend architecture and system design I have experience building production-ready APIs and automation workflows that connect systems, process data, and support real business operations. I focus on writing clean, maintainable, and scalable code while ensuring solutions are practical and easy to extend. If you need a developer who can build backend systems and also automate workflows across tools and APIs, I can help.

A Passionate AI + Fullstack Developer with 4+ years of experience. Proficient in developing web applications using frameworks like Django, DRF, Flask, Flask REST, FastAPI. Expertise in Web Scraping with bs4, Scrapy, and Selenium. Deep knowledge of containerization with Docker. Experience with AWS Cloud Services like Lambda Functions, ECS, EC2, API Gateway, S3, SES, SNS, CodePipeline. Worked with LLMs, GenAI, RAG, Agents and Multi-Agents systems. Tech Stack : - Python - LLM : LangChain, OpenAI, Google, Claude, HuggingFace - Agents: LangGraph, CrewAI, - Web Frameworks : Django, DRF, Flask, Flask REST, FastAPI - Web Scraping and Automation : BeautifulSoup, Scrapy, Selenium - AWS Cloud Services : DynamoDB, API Gateway, Lambda Functions, S3, EC2, ECS, Fargate, ECR, API Gateway, SNS, SQS, CodePipeline - Utilities : Celery, Web Socket, Docker - Testing : Pytest, unittest - Payment Integration : Stripe, Razorpay - Version Control : Git, GitHub, GitLab - Front-end : HTML, CSS, JavaScript, JQuery, AJAX, React - Database : SQL : PostgreSQL, MySQL, MSSQL, SQLite, NoSQL : Firebase, MongoDB, DynaomDB

Most "AI" projects break the same way. The demo works, then real users arrive and the chatbot hallucinates, the agent loops forever, retrieval returns garbage, and the backend falls over. The model was never the hard part. The engineering around it is. That's what I do. I'm an AI Engineer who builds LLM-powered products that actually hold up in production, not demos that fall apart the first time a real user touches them. I've shipped an LLM diagnostic assistant for a US-based manufacturer, semantic search over a community platform, and a real-time AI scoring engine running on live data. AI that does a job, with the retrieval, grounding, and orchestration that make it reliable. 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐋𝐋𝐌 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 Autonomous and tool-using AI agents, multi-step workflows, and LLM-powered assistants that take real actions, call APIs, query your data, and make decisions. Built with function calling, tool use, and orchestration that stays controlled instead of spiraling. Powered by Claude, GPT, and open-source models. 𝐀𝐈 𝐂𝐡𝐚𝐭𝐛𝐨𝐭𝐬 & 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈 Production chatbots and assistants grounded in YOUR data, customer support bots, internal copilots, and domain experts that answer accurately because they're backed by real retrieval, not guesswork. Streaming responses, memory, and conversation flows that feel natural. 𝐑𝐀𝐆 & 𝐒𝐞𝐦𝐚𝐧𝐭𝐢𝐜 𝐒𝐞𝐚𝐫𝐜𝐡 Retrieval-Augmented Generation that grounds LLM answers in your documents, manuals, and knowledge bases, so responses are accurate and traceable instead of hallucinated. Vector embeddings, semantic search, and pgvector pipelines built for relevance and speed. Plus prompt design and evaluation to keep quality measurable as you scale. 𝐀𝐈 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 & 𝐀𝐏𝐈𝐬 The production engineering most AI freelancers skip. FastAPI and Django backends, REST APIs, JWT/OAuth2 auth, async pipelines with Celery, Redis, and Kafka, and clean data models, so your AI features run fast, securely, and at scale. 𝐀𝐈 𝐒𝐚𝐚𝐒 & 𝐌𝐕𝐏 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 End-to-end AI products from idea to launch. Database design, multi-tenancy, Stripe billing, AWS and Docker deployment, and React/Next.js frontends when you want full-stack delivery. The whole foundation your AI product needs to ship fast and scale. 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤: Python · FastAPI · Django · DRF | LLM Integration, AI Agents, RAG, Function Calling, Prompt Engineering | OpenAI, Claude, LangChain, Vector Embeddings, Semantic Search | PostgreSQL/pgvector, MongoDB, Redis | Celery, Kafka, WebSockets | React, Next.js | AWS, Docker, CI/CD, Stripe If you're building an AI product, a chatbot, an agent, or adding real AI to an existing app, and you want it engineered to work in production, not just in a demo, let's talk. Message me what you're building and I'll tell you exactly how I'd approach it.

Python/Django developer | Python/FastAPI | Python developer | AI Agents | LLM | SaaS Architect | SAAS developer | React I help startups, SaaS companies, and enterprises build scalable backend systems, AI-powered applications, and production-ready SaaS platforms using Python. I primarily build backend applications using Python, with extensive experience in Django, Django REST Framework (DRF), and FastAPI for developing secure, scalable APIs and enterprise-grade applications. I work with PostgreSQL, MySQL, MongoDB, Redis, and Supabase to design high-performance databases, optimize queries, and build reliable data-driven applications. For AI-powered solutions, I integrate OpenAI, Anthropic Claude, Google Gemini, LangChain, LangGraph, CrewAI, AutoGen, MCP, Hugging Face, pgvector, Pinecone, and FAISS to develop AI agents, RAG systems, semantic search, document intelligence platforms, and intelligent workflow automation. On the frontend, I use React, Next.js, TypeScript, and Tailwind CSS to create fast, responsive user experiences that work seamlessly with modern Python backends. For deployment and infrastructure, I work with AWS, Google Cloud Platform (GCP), Azure, Docker, GitHub Actions, CI/CD, Nginx, Linux, Render, and Vercel, ensuring applications are secure, scalable, and easy to maintain. Whether you need to launch an MVP, modernize an existing application, build REST APIs, integrate AI capabilities, or develop a complete SaaS platform, I can take ownership from architecture and development through deployment and ongoing support. What I Can Help You Build • Multi-tenant SaaS Applications • AI Agents & Business Process Automation • Custom Backend Systems • REST APIs & Microservices • Enterprise Dashboards & Admin Portals • Healthcare & FinTech Applications • Workflow Automation Platforms • Data Processing & ETL Pipelines • AI Document Processing • Knowledge Base Search & RAG Applications • CRM, ERP & Internal Business Tools • Third-party API Integrations • Multi-step workflow automation using n8n, Make, and Zapier • AI integrations with OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI, and Hugging Face • CRM, ERP, and productivity integrations (HubSpot, Salesforce, Google Workspace, Slack, Notion, • Airtable, Stripe, Twilio, WhatsApp, Gmail, Google Drive) Technology Stack ### Why Clients Choose Me ✔ Production-ready, scalable architecture ✔ Clean, maintainable, well-documented code ✔ API-first development approach ✔ Secure authentication and role-based access control ✔ Performance optimization and database tuning ✔ AI integration with modern LLMs ✔ Transparent communication and weekly progress updates ✔ Long-term maintenance and product support I enjoy working with founders and product teams to turn ideas into reliable software that users love. Whether you're building a new SaaS platform, adding AI capabilities to an existing product, or scaling a backend to support growth, I'm ready to help. AI SaaS Development Expertise I specialize in AI SaaS development, helping startups and businesses build scalable, secure, and production-ready AI SaaS products. Whether you're launching a new AI SaaS platform, adding AI capabilities to an existing application, or automating business workflows, I develop solutions that combine robust backend engineering with the latest Generative AI technologies. I build AI SaaS applications using OpenAI, Claude, Gemini, LangChain, LangGraph, CrewAI, AutoGen, MCP, and RAG to deliver AI agents, intelligent search, document processing, workflow automation, and knowledge management solutions. From MVPs to enterprise AI SaaS platforms, I help design, develop, deploy, and scale AI SaaS p Python Developer | Django Developer | Django REST Framework (DRF) | FastAPI Developer | Python Backend Developer | Backend Engineer | SaaS Developer | SaaS Application Developer | SaaS MVP Developer | SaaS Platform Developer | AI Developer | AI Agent Developer | AI Automation | AI Workflow Automation | Generative AI | LLM Developer | OpenAI API | Claude AI | Gemini AI | LangChain Developer | LangGraph | CrewAI | AutoGen | MCP | RAG | Retrieval-Augmented Generation | Semantic Search | Vector Database | pgvector | Pinecone | FAISS | Hugging Face | Machine Learning | REST API Development | API Integration | Microservices | PostgreSQL | MySQL | MongoDB | Redis | Supabase | Docker | AWS | Google Cloud Platform (GCP) | Azure | CI/CD | GitHub Actions | Enterprise Software Development | Healthcare SaaS | FinTech Development | CRM Development | ERP Development | Workflow Automation | ETL Pipelines | Data Processing | Cloud Applications | Scalable Backend | Python Automation | High-Performance APIs | Custom Software Development

If you're building an AI-powered product, automating a data pipeline, or replacing a manual workflow with intelligent Python systems , I've probably already solved your problem. I'm a Python backend and AI automation engineer with 4+ years and 60+ Upwork projects, all 5-star. My work lives at the intersection of FastAPI, LLM integration (OpenAI, Claude, Gemini), and production-grade automation , the kind that actually runs in the background without breaking. What I build: AI agents and autonomous workflows using LangChain, OpenAI Assistants, and custom tool-calling systems Web scraping infrastructure that bypasses anti-bot systems at scale (Scrapy, Playwright, Selenium) FastAPI/Django backends with clean architecture, deployed on AWS with Docker Data pipelines and automation systems that eliminate hours of manual work weekly Results that matter: a recommendation engine that lifted sales conversions 15%, microservices running at 99.9% uptime for 12+ months, a scraping system processing 500K+ records daily. I don't disappear after delivery. 70%+ of my clients come back for the next project , which is the metric I actually care about. Tell me what you're building. I'll tell you if I'm the right person for it.

Medical imaging and healthcare backends are complex — I make them production-ready. I specialize in PACS/DICOM workflows, radiology AI pipelines, HIPAA-compliant platforms, and AI-assisted imaging pipelines for hospitals, clinics, and healthtech startups. From architecture to cloud deployment, I deliver secure, scalable systems that meet clinical standards. Beyond medical imaging, I also architect high-performance Python backends for SaaS and AI platforms — scalable APIs, microservices, and cloud deployments built for production. I specialise in FastAPI microservices for healthcare platforms — HIPAA-compliant, production-ready and clinically reliable. 🚀 What I Deliver (End-to-End Ownership) ✅ Backend & system architecture ✅ Scalable APIs and microservices ✅ Healthcare & Medical Imaging platforms (PACS / DICOM) ✅ Python backend systems for SaaS & AI platforms ✅ Cloud, Ubuntu server & on-prem deployments ✅ CI/CD, DevOps & production automation ✅ Application security & compliance-ready systems ✅ OHIF Viewer customization for radiology workflows I don't just build features — I design, deliver, and support complete production systems. 🧠 Core Technical Expertise 🏗️ Backend Development Python, Django, FastAPI REST APIs, Microservices, Docker, Kubernetes PostgreSQL, Redis, Celery, OAuth ☁️ Cloud, Deployment & DevOps AWS, Azure, GCP Ubuntu servers & on-prem hospital infrastructure CI/CD: GitHub Actions, GitLab CI, Jenkins Infrastructure as Code: Terraform, Ansible Monitoring: Prometheus, Grafana, ELK, CloudWatch 🩺 Healthcare, Medical Imaging & Radiology Radiology AI backends — PACS to diagnostic workflow integration PACS & DICOM Infrastructure (Orthanc, dcm4chee, OHIF Viewer v3) OHIF Viewer (v3) customization, Cornerstone.js, and VTK.js for 2D/3D rendering. CT, MRI, X-Ray, Ultrasound workflows AI-based image classification & triage Secure hospital ↔ cloud / on-prem connectivity AI-generated radiology & medical reports HIPAA-ready handling of PHI data Medical imaging AI pipelines (pynetdicom, pydicom) 🔐 Security & Compliance (HIPAA & ISO) Healthcare-grade application security HIPAA Compliance & ISO-aligned architectures OWASP Top 10 hardening Data encryption: AES, RSA, TLS Secure audit logs, API gateways & firewall-aware design 📊 Selected Highlights ✔ Built AI-powered PACS-integrated medical imaging platforms ✔ Delivered full-stack healthcare dashboards used in production ✔ Improved backend throughput by 40%+ ✔ Deployed systems on cloud and on-prem hospital environments ✔ Reduced deployment time by 50% using CI/CD automation ✔ Led security hardening for healthcare-grade compliance

I’m a backend engineer who has recently expanded into AI/LLM systems, combining solid production experience with modern AI-driven development. I hold a Bachelor’s degree in Electrical, Electronics and Communications Engineering from Hacettepe Üniversitesi, and I’ve been working with a fintech startup (H1 Card) since 2021, where I design and deploy backend systems using Python, FastAPI, and Django on AWS. Over the years, I’ve built scalable APIs, microservices, and data-driven systems across a range of projects—from fintech platforms to social applications. I’ve worked with technologies like Nameko, Ariadne (GraphQL), Firebase, and Google App Engine, collaborating closely with frontend teams and stakeholders to deliver reliable, production-ready systems. I’ve also strengthened my engineering practices through the Developing AI Applications with Python and Flask program on Coursera, complementing my hands-on experience building and deploying real-world systems. More recently, I’ve retooled my skillset around AI and LLMs. I now design and build systems that integrate models like Claude, OpenAI, LLaMA, and Gemini into real-world applications. This includes: - Building AI agents and multi-step workflows - Designing systems around MCP (Model Context Protocol) and tool use - Rapid prototyping (“vibe coding”) and shipping AI-powered features - Integrating LLMs into existing backend architectures - Creating chatbots and automation systems powered by modern AI What sets me apart is that I don’t just experiment with AI—I integrate it into production systems with proper backend architecture, scalability, and reliability. Some highlights from my experience: - Backend development for a fintech startup (AWS, FastAPI, Django) - Built microservices and GraphQL APIs for multiple freelance projects - Developed complex Django applications, including Mytichaa (an award-winning Messenger bot in the Bots for Messenger Challenge – Middle East & Sub-Saharan Africa) - Strong background in data handling, APIs, and system design Core Technologies - Python (Django, FastAPI, Flask) - Microservices (Nameko) - GraphQL (Ariadne) - Cloud: AWS, Google App Engine - Databases: PostgreSQL, MySQL, MariaDB, Firebase, Neo4j AI / LLM Stack - OpenAI, Claude, Gemini, LLaMA - AI agents and tool-use systems - MCP and structured context systems - Prompt engineering and evaluation - Backend integration of LLM workflows What I can help you build - AI-powered applications and agents - Backend systems with LLM integrations - Chatbots and automation tools - Scalable APIs for web and mobile apps - Real-time applications (WebSockets, Django Channels) - Data processing and backend pipelines I enjoy working on challenging problems and continuously evolving with new technologies. Right now, that means combining backend engineering with AI to build smarter, more capable systems. If you’re looking for someone who understands production-grade backend systems and modern AI capabilities, I’d be glad to collaborate.

Most backend systems do not fail because of bad code. They fail because of bad architecture decisions made early that nobody questioned. I fix that before it happens. I am a Senior Full Stack Python Developer with 8 years of experience building production-grade SaaS platforms. My focus is backend engineering - scalable APIs, clean system architecture, and data workflows that hold up under real traffic, not just in development. I use FastAPI and Django on the backend and React on the frontend. I have shipped full stack SaaS products used in real business environments, not side projects or MVPs that never launched. 🚀 Selected Work ⚙️ Healthexplorer.ai - Healthcare SaaS with scalable backend architecture and AI-powered clinical features ⚙️ Sparky.ai - Automation platform with multi-step AI workflows and backend orchestration ⚙️ Kangaroos.ai - Education platform built API-first with intelligent system design ⚙️ Craftly - Content generation platform with backend scalability and LLM integration ⚙️ Instawrite.ai - AI writing system with production-grade backend architecture ⚙️ FeedbackSync.ai - Workflow automation system for structured data processing 🧠 What I Build Full stack SaaS platforms using Python and React High-performance REST APIs and microservices AWS deployment, scaling, and infrastructure Database design, optimization, and data pipelines Background jobs, queues, and workflow automation AI and LLM integration where it creates measurable value, not just because it is trending 🎯 Why clients come back I design systems from idea to scalable architecture. I write clean, maintainable code. I communicate clearly and execute consistently. And I tell you when something will not scale before you build it, not after. If you are building a SaaS product that needs to work in production and grow without breaking, let's talk.

I am a backend engineer with 7+ years of experience building fast, reliable, and scalable systems. I specialize in Python, FastAPI, Django, AI integration, and workflow automation, helping teams ship production-ready products that perform under real load. 🛠 What I Can Do for You • Backend development: FastAPI, Django, microservices, REST & GraphQL APIs • AI integration: LLMs, workflow automation, predictive analytics, chatbots • Automation & Ops: Data pipelines, task scheduling, background jobs, internal tools • Performance & reliability: Optimized DB schemas, caching strategies, async Python • DevOps & Cloud: Docker, Kubernetes, CI/CD pipelines, AWS/GCP deployment 📂 Experience Highlights • Built a digital signing system with AI-assisted workflows, streaming responses, persistent chat history, and secure messaging, serving 10k+ daily users • Delivered backend workflows for agent onboarding, device registration, payments, and inventory, with automated user and organization management • Developed subscription & payment modules with credit billing, monthly/annual plans, and fully automated admin processes • Managed backend architecture for payments, patient management, and integrations, ensuring 99.9% uptime and smooth background job processing • Migrated production microservices to FastAPI, improving performance by 40%, and optimized database schemas, deployment pipelines, and automation 🏢 Industries I’ve Worked With • Fintech: payments, subscriptions, secure APIs • SaaS: scalable platforms, internal automation • Healthcare: patient management, HIPAA-compliant systems • IoT: device workflows, real-time data pipelines • Enterprise Platforms: high-performance backend systems 📞 Why Work With Me • Build production-ready systems • Integrate AI to streamline workflows • Automate operations and pipelines • Improve performance and scalability • Respond fast, deliver clean code, and make your backend work smarter, not harder • Available for immediate projects and long-term collaborations Keywords: Python Backend Developer | FastAPI | Django | REST API Development | Microservices Architecture | AI Integration | Workflow Automation | Background Jobs & Task Scheduling | Async Python | Cloud Deployment (AWS / GCP) | CI/CD & DevOps | Database Optimization & Design | Payment & Subscription Backend | ETL & Data Pipelines | Webhook & Secure API Integration

I help startups turn messy workflows, AI ideas, and data-heavy product requirements into production-ready web systems with clean Python backends, maintainable APIs, and dashboards that stay usable after launch. Clients usually bring me in when: - an AI MVP needs real backend structure, not just a prompt demo - a data-heavy product needs clean APIs, PostgreSQL models, and reliable admin or debug workflows - a dashboard needs a usable data pipeline behind it, not just charts - a manual or review-heavy process should become an inspectable automation system My strongest work involves: - Python backend development with FastAPI, Django, or Flask - AI and data features such as automation, retrieval, analytics, prediction, or batch processing - PostgreSQL-backed APIs, workflow systems, and internal tools - React or Next.js interfaces for dashboards, internal tools, and technical products Relevant proof includes 5.0 Upwork feedback on applied AI automation and architecture-level testing work, along with public work such as Heartlytics for ML-backed prediction workflows and role-based dashboards, FluxCast Urban for forecasting and analytics UX, and an LLM-powered booking email automation system with review and validation flows. I focus on clean system design, predictable backend behavior, realistic delivery timelines, and documentation that makes the system easier to review, extend, and trust after delivery. If you need an AI-enabled backend, a data-heavy web app, or an automation workflow that should stay maintainable after launch, I can help scope the cleanest first milestone.