🔥 AI Engineer & Full-Stack Developer with 5+ Years of Building High-Impact Digital Products 🚀 Expert in Claude Code, Python, OpenAI, AI Agents, LLMs, FastAPI, React & Next.js ⚡ Specialized in AI SaaS, Intelligent Automation, Custom Web Applications & API Development 🤝 Partnering with Startups, Founders & Enterprises to Build Scalable, Future-Ready Solutions I help startups and businesses build AI-powered products, intelligent automations, and scalable web applications that solve real business problems. Whether you're launching an AI SaaS, integrating GPT or Claude into your product, building AI agents, automating workflows, or developing a modern web application, I deliver production-ready solutions that are scalable, secure, and built for long-term growth. My expertise combines Artificial Intelligence with Full-Stack Engineering, allowing me to develop complete products from backend architecture to intuitive user interfaces. AI Development Services ✅ AI Agent Development ✅ Claude Code Development ✅ OpenAI GPT Integration ✅ LLM Applications ✅ AI Chatbots ✅ RAG Systems ✅ Multi-Agent Workflows ✅ Prompt Engineering ✅ AI Workflow Automation ✅ MCP Server Development ✅ Vector Database Integration ✅ LangChain & LangGraph Development ✅ AI Document Processing ✅ AI Business Automation ✅ AI APIs & Custom AI Solutions Full Stack Development ✅ React.js ✅ Next.js ✅ TypeScript ✅ JavaScript ✅ Node.js ✅ Express.js ✅ NestJS ✅ Python ✅ FastAPI ✅ REST APIs ✅ GraphQL ✅ WebSockets ✅ Authentication (JWT, OAuth) ✅ Role-Based Access Control ✅ Dashboard Development ✅ SaaS Platforms ✅ Admin Panels ✅ Enterprise Applications Database & Cloud ✅ PostgreSQL ✅ MongoDB ✅ MySQL ✅ Supabase ✅ Firebase ✅ Redis ✅ AWS ✅ Azure ✅ Google Cloud ✅ Docker ✅ CI/CD ✅ Vercel ✅ DigitalOcean Automation & Integrations Custom runners connecting CRMs, payment systems, databases, and third-party platforms. REST APIs, webhooks, OAuth, scheduled jobs - battle-tested across 500+ delivered systems. Industries I Work With 🏥 Healthcare 💰 FinTech 🛒 Ecommerce 🏠 Real Estate 📚 Education 📞 Customer Support 📈 Marketing ⚖ Professional Services 🚚 Logistics 🏢 SaaS Platforms What I Deliver ✅ AI-Powered SaaS Platforms ✅ AI Chatbots & Virtual Assistants ✅ Intelligent Business Automation ✅ Custom Dashboards ✅ High-Performance APIs ✅ Scalable Backend Systems ✅ Responsive Frontend Applications ✅ Cloud Deployment ✅ Production-Ready Code ✅ Long-Term Maintenance My Development Process Discovery Understand your business goals, users, technical requirements, and project scope before writing a single line of code. Development Build scalable architecture with clean code, regular updates, testing, documentation, and continuous feedback. Deployment Deploy securely to production with monitoring, documentation, and post-launch support. Why Clients Choose Me ✅ Strong AI & Full-Stack Expertise ✅ Business-Oriented Development ✅ Clean & Scalable Architecture ✅ Excellent Communication ✅ Fast Response Time ✅ Reliable Delivery ✅ Long-Term Partnership ✅ Performance-Optimized Solutions Let's discuss your project. I can help you go from idea → architecture → implementation → deployment with a system designed for long-term success.

Your LLM app works great in the demo. Then real users show up: 12-second responses, a GPU bill that doubled overnight. That gap between "it works" and "it works at 2 AM under load" is the only thing I sell. You're hiring two backgrounds in one person. Five-plus years of DevOps — AWS, GCP, Kubernetes, Terraform — and hands-on Python development: FastAPI backends, RAG pipelines, AI agents. Most freelancers can either build your AI app or keep it alive in production. I'm both, so nothing breaks at the handoff. The work: FastAPI services with streaming and auth. RAG systems where the vector database (Qdrant, Pinecone, pgvector) is actually indexed right. MCP servers — I've built them since the protocol was new. LLM deployment via vLLM, Ollama, or APIs (OpenAI, Gemini, Claude), with batching and caching so you're not paying for tokens twice. Agents with queues, retries, and cost caps, running on infrastructure that scales down when idle — because idle GPUs are how startups quietly bleed. One rule I never break: nothing ships without per-request cost tracking. I've watched "$40 a day" become a four-figure weekend. Send me your stack and where it hurts—or what you want built. I'll reply with the first thing I'd do. Decide about hiring me after that.

Looking to automate your customer workflows with reliable Voice AI Agents, or build robust LLM pipelines powered by your proprietary business data? I can engineer it for you. I am an AI/ML Engineer and Python Developer with 3 years of commercial experience specializing in Conversational AI, autonomous Voice Bots, Retrieval-Augmented Generation (RAG), and Computer Vision solutions. My engineering philosophy focuses on building scalable, production-grade architectures. Unlike simple prompt-wrappers, I design custom, decoupled backend infrastructures that handle real-time streaming, high concurrent loads, and seamless software integrations. 🎯 TARGETED WORKFLOWS & AI SOLUTIONS I BUILD: • AI Voice Agents & Telephony (Inbound / Outbound): Scalable conversational voice bots for legal firms, medical practices, and real estate. Native implementation of systems to detect voicemail, handle complex IVR navigation, capture user data dynamically, and book appointments. • Production RAG Pipelines & Knowledge Bases: Context-aware enterprise AI tools utilizing advanced chunking strategies, document summarization, semantic similarity search, and hybrid retrieval to ensure zero hallucinations. • Computer Vision & Deep Learning Systems: Real-time video analytics, human re-identification (Re-ID), automated object tracking across multi-surveillance camera streams, and face verification pipelines. • Autonomous Multi-Agent Platforms: End-to-end task automation via multi-agent orchestration linked with external APIs, databases, and secure webhooks. 🛠️ TECH STACK & EXPERTISE: • Core Languages & Paradigms: Python, Object-Oriented Programming (OOP), Asynchronous Programming (Asyncio, Aiohttp). • AI, GenAI & LLM Integration: OpenAI API (GPT-4, GPT-4o, OpenAI Realtime API), Anthropic Claude, Groq API, AWS Bedrock, Llama, DeepSeek. • AI Orchestration Frameworks: LangChain, LlamaIndex, AI Agents, Function Calling. • Speech & Audio AI (STT/TTS): OpenAI Whisper, Speech-to-Text, Text-to-Speech models. • Computer Vision Frameworks: PyTorch, TensorFlow, YOLO (YOLOv8/YOLOv10), DeepSORT tracking, Convolutional Neural Networks (CNNs), FaceNet, Similarity Search. • Backend & API Frameworks: FastAPI, Pydantic, SQLAlchemy, Alembic, REST APIs, WebSockets. • Databases & Vector Storage: PostgreSQL (pgvector), MySQL, SQLite, NoSQL (Redis caching). • Cloud & DevOps Infrastructure: AWS (Amazon S3, Boto3 SDK), Cloud Storage Architecture, Docker, Docker Compose, Version Control (Git, GitHub, GitLab). • Testing & Code Quality: Pytest, Unittest, Mock, Agile/Scrum/Kanban methodologies. 💼 SELECTED REAL-WORLD IDENTITY & CASE STUDIES: 1. AI Voice Verification Assistant & Inbound Receptionist Bot • Context: Built an automated outbound-calling agent to verify employment status and an inbound receptionist for a law firm. • Contribution: Programmed intelligent dialogue understanding to bypass automated robot response triggers (voicemails, IVRs). Integrated an advanced RAG model for document summarization and data injection into a CRM platform. • Stack: Python, FastAPI, OpenAI Realtime GPT-4 Mini, Whisper STT, Amazon S3, GoHighLevel CRM integration, Vector Databases. 2. Hotel Security Surveillance & Multi-Camera Video Analytics System • Context: Designed a deep learning surveillance engine to automatically monitor human traffic and hotel security alerts. • Contribution: Optimized custom computer vision pipelines for real-time person detection, cross-camera multi-object tracking, and facial recognition mapping. • Stack: Python, PyTorch, TensorFlow, YOLO models, DeepSORT, feature embedding extraction, Vector Similarity Search. 🎓 EDUCATION & COMPLIANCE BACKGROUND: • Degree: Bachelor’s degree in Applied Computer Science — University of Bamberg (Germany). • Languages: English (Fluent), German (Fluent), Ukrainian (Native), Russian (Native). • Approach: I deliver clean code, production-ready Docker containers, and thorough system documentation. Let's connect!

Django and Python backend developer building secure, scalable REST APIs and full production systems. If your backend needs clean APIs, a solid PostgreSQL schema, and an architecture that holds up under real load, I ship it end to end. With 5+ years in backend and full-stack development, I turn requirements into maintainable, tested, deployed systems, not prototypes. I work in Python, Django, Django REST Framework, and FastAPI, and I design for scale from day one. WHAT I BUILD Backend and API development - REST API design with authentication, permissions, and versioning - Django, Django REST Framework, and FastAPI services - Clean, modular, well tested code from the first commit - Query and performance optimization, caching, and load handling Databases and data engineering - PostgreSQL and MySQL, schema design, migrations, complex filtering - ETL and multi source data pipelines - Background and scheduled jobs with Celery and Redis - Web scraping and third party API integration Full stack and SaaS platforms - End to end SaaS from database schema to deployment - Multi tenant apps, admin dashboards, reporting backends - Auth, roles, billing, and user management - Dockerized deployments built for long term growth AI integration (when your product needs it) - Claude, OpenAI, and LLM integration with structured, reliable outputs - Automated scoring, reporting, and processing pipelines built into real products RECENT WORK - Built a business risk scoring platform: custom scoring engine, automated data aggregation, and AI generated narrative reports that replaced a fully manual process. - Engineered a Django, Celery, and PostgreSQL backend handling real time and scheduled processing at scale. - Developed multi source pipelines pulling state records, licensing platforms, and external APIs into one unified verification platform. HOW I WORK Clear communication, replies within a few business hours, and delivery you do not have to babysit. You get documented, tested, production ready code and an architecture built to grow. If you need a backend that will not fall over as you scale, send me a message with a short description of your project and I will reply with how I would approach it.

If your backend is slower, your APIs keep breaking under load, or your AI features feel bolted on instead of built in, that's usually where I come in. I'm a Python Backend and AI Developer with 8+ years building Django, FastAPI, and AWS solutions for SaaS and AI products. I build Django and FastAPI backends on AWS for SaaS and AI products that need to stay fast under real user load, not just pass a demo. Most of my work is either fixing slow APIs and deployment bottlenecks or shipping new backend features (REST APIs, async jobs, LLM/RAG integrations) for teams that outgrew their first architecture. I'm a senior Python backend developer based in India, with 8+ years, top-rated, and 100% job success. What I work on day to day: ★ REST APIs and backend services (Django/DRF, FastAPI, Flask when it fits) ★ Cloud deployments on AWS: EC2, S3, RDS, Lambda, Docker, CI/CD pipelines ★ Async and background jobs: Celery, Redis, RabbitMQ for queues, reports, notifications ★ AI and LLM integration: RAG workflows, chatbots, automation pipelines (OpenAI, Gemini, Grok APIs; not just prompt wrappers) ★ Backend refactoring: slow queries, messy codebases, deployments that break every release ★ Microservices where it makes sense: not microservices for the sake of it A few projects I've led or built recently: Astrosure.ai: AI-powered astrology platform from scratch. I led the backend: Django and FastAPI services, birth chart processing, dosha/dasha rules, and the Agastyaa chatbot with LLM integration. Deployed on AWS with Docker and CI/CD on EKS. HerKey (herkey .com): India's largest career platform for women. Built scalable APIs for job matching, session booking, and notifications. Django REST Framework, MongoDB, Elasticsearch, Kubernetes on AWS. We cut incident triage time by around 40% after improving monitoring and deployment flow. Riyaah (riyaah.sa): Beauty e-commerce platform in Saudi Arabia. Backend for product catalog, orders, and payment flows. Django, PostgreSQL, AWS. Before Upwork, I worked with Capgemini (banking/ANZ), Flooid, Keuro Digital, and Bricksteel, mostly backend, team lead, and client-facing delivery. How I usually work with clients: I keep communication straightforward, regular updates, and clear ETAs, with no disappearing mid-sprint. code reviews, and set up CI/CD and monitoring so releases don't turn into firefights. Most of my Upwork clients mention responsiveness and clean delivery in their reviews. If you need someone who can own the backend end-to-end architecture, APIs, cloud, AI integration, and production stability, send me a message with a short description of what you're building. I'll reply with honest thoughts on scope and how I'd approach it.

I build systems that actually ship. I'm a full-stack Python engineer with experience building backend APIs, AI agents, and end to end automation pipelines for real businesses. I'm also one of a small group of engineers who works deeply within the Claude AI ecosystem, not just calling the API, but building with Claude Code, designing MCP servers, setting up Claude Cowork for businesses, and deploying agentic systems that use Claude the way Anthropic intended it to be used. My current project is Whaply, a WhatsApp AI agent platform that lets businesses deploy intelligent, human aware chatbots that automatically pause when a human agent joins the conversation. It's built on FastAPI, Supabase, and the WhatsApp Business API with multi LLM support. I didn't just plan it, I architected, built, and deployed it myself. That's how I work with clients too. WHAT I BUILD: Python backend systems using FastAPI: microservices, RESTful APIs, webhook integrations, OAuth authentication, and custom API wrappers built to scale. AI agents and LLM powered tools: deep integrations with Claude (Anthropic), OpenAI, and Gemini with real decision making logic, not just prompt wrappers. This includes building custom MCP servers that extend what Claude can do, agentic coding workflows with Claude Code, and enterprise grade automations using Cowork and the broader Claude tooling ecosystem. Voice AI systems using Vapi and Retell AI: intelligent phone agents that handle real conversations, not just demos. Automation pipelines with n8n: connecting CRMs, databases, cloud platforms, and custom APIs into systems that run without babysitting. Full stack applications: React or Next.js frontends backed by robust Python APIs, built for real users. WHAT MAKES ME DIFFERENT: I'm not a low code freelancer who drags blocks around until something works. I write the backend, design the architecture, handle the integrations, and think about what happens when things break. On the Claude side specifically, I've built production MCP servers, shipped agentic pipelines using Claude Code, and understand the Claude API at a level most engineers don't reach. If you're building something in the Anthropic ecosystem or want to, I'm one of the few freelancers who actually lives there. I've completed 10+ contracts with a 100% Job Success Score. Every project I take on, I treat like it has my name on it because it does. BEST FIT FOR: • Founders who need a technical partner, not just an executor • Businesses looking to integrate Claude AI into their products or workflows • Teams building AI powered products that need to work in the real world • Anyone who's been burned by freelancers who disappeared after the demo If that sounds like you, let's talk.

AI Agent Development, RAG Chatbot Development, AI Integration, and Workflow Automation for SaaS products and business operations. I build LangGraph/LangChain agents, grounded knowledge systems, FastAPI backends, and full-stack AI applications connected to real APIs, data, and workflows. I work with SaaS founders, product teams, and businesses that need to build a new AI product, add Generative AI to existing software, automate operational workflows, or improve an AI system that is not reliable enough for production. My work covers the complete AI application stack from LLM architecture and retrieval pipelines to backend APIs, frontend applications, integrations, evaluation, and cloud deployment. WHAT I BUILD → AI Agents & Agentic Workflows AI agents that can reason across multi-step workflows, call tools and APIs, maintain state and memory, route tasks, use structured outputs, and involve human approval where required. Typical stack: LangGraph, LangChain, OpenAI, Claude, Gemini, AWS Bedrock, FastAPI, Python, REST APIs, CRMs, n8n, and custom business systems. → RAG Chatbots & Knowledge Systems RAG applications for private documents, company knowledge bases, customer support, enterprise search, document Q&A, and internal AI assistants. I handle document ingestion, chunking, embeddings, metadata filtering, vector search, hybrid retrieval, reranking, citations, access control, evaluation, and retrieval optimization. Typical stack: LangChain, LlamaIndex, Pinecone, Qdrant, pgvector, FAISS, PostgreSQL, OpenAI, Claude, Gemini, and AWS Bedrock. → AI Integration & Workflow Automation Integrate AI directly into existing SaaS platforms, CRMs, internal applications, APIs, databases, and operational workflows. Examples include: Support and ticket automation Lead qualification Document processing Research and data workflows CRM automation Internal approval workflows AI-assisted operations API-driven business automation The goal is not another standalone chatbot. It is AI connected to the systems where the actual work happens. → Full-Stack AI SaaS Development Complete AI-powered SaaS products and internal applications, including: Next.js / React frontend Python / FastAPI backend PostgreSQL / Supabase / MongoDB Authentication and role-based access Stripe or subscription billing Admin dashboards Background processing LLM usage tracking API integrations Docker and cloud deployment Suitable for AI SaaS MVPs, internal AI platforms, vertical AI products, and new AI features inside existing applications. → Document Intelligence AI pipelines for extracting, classifying, searching, summarizing, and analyzing PDFs and business documents. Applications include contracts, invoices, reports, tenders, policies, knowledge bases, forms, and other unstructured business data. Depending on the workflow, this may combine OCR, vision models, structured extraction, RAG, validation rules, and human review. → Voice AI Voice agents and conversational workflows for customer support, lead qualification, appointment workflows, and outbound or inbound automation using platforms such as Vapi, Twilio, and ElevenLabs. → LLM Evaluation & Optimization For existing AI products, I can improve the underlying system rather than rebuilding everything from scratch. This can include: Prompt and context optimization Retrieval evaluation Agent debugging LangSmith tracing Structured output validation Guardrails and fallback logic Latency optimization Token and API cost optimization Model comparison Fine-tuning when it is actually justified TECHNICAL STACK AI / LLM: OpenAI, Claude, Gemini, AWS Bedrock, Hugging Face, LangChain, LangGraph, LlamaIndex, CrewAI RAG / Vector Search: Pinecone, Qdrant, pgvector, FAISS, Chroma, embeddings, hybrid search, reranking Backend: Python, FastAPI, Node.js, REST APIs, WebSockets, Celery, Redis Frontend: Next.js, React, TypeScript, Tailwind CSS Data: PostgreSQL, Supabase, MongoDB, Redis Automation & Integrations: n8n, APIs, webhooks, CRM integrations, third-party SaaS integrations Cloud & Deployment: AWS, Azure, GCP, Docker, Vercel, CI/CD PRODUCTION ENGINEERING AI prototypes are relatively easy to build. Production systems become difficult when real users, private data, unreliable APIs, latency, permissions, and edge cases enter the workflow. That is where I focus. Depending on the system, I design for: Evaluation and testing Source-grounded responses Structured outputs Retry and fallback logic Human-in-the-loop approval Authentication and authorization Logging and observability Cost and latency control Maintainable architecture Production deployment A GOOD FIT IF YOU NEED TO Build an AI agent or multi-agent workflow from scratch, add RAG or Generative AI to an existing SaaS application, automate a business workflow using AI, build an AI SaaS product, connect LLMs with your APIs and private data, or diagnose an AI system that works in demos but struggles in production.

Python AI developer and full-stack engineer with 6 years shipping production SaaS platforms, AI-powered systems, and complete MVP builds across healthcare, legal, retail, e-commerce, and construction tech. I work across FastAPI, React, TypeScript, Supabase, PostgreSQL, Stripe, OpenAI, LangChain, and AWS. I own the full product from database schema to deployed frontend. If you are building something that needs AI built in from day one, not bolted on later, that is what I do. I have shipped RAG pipelines with hybrid vector and keyword retrieval, multi-LLM orchestration layers abstracting 7 providers behind a single interface, LangChain agents with custom tool chains, and GPT-powered automation engines that replace entire human workflows. The AI is not a feature. It is the architecture. Here is what I have built as sole architect and developer. An AI scheduling SaaS currently live with paying customers. FastAPI backend on Supabase with full Stripe billing, React frontend with interactive Gantt visualization, and an Azure OpenAI pipeline that converts raw project scope documents into fully dependency-mapped schedules. What used to take a planning team 2 to 3 weeks happens in minutes. Multi-tenant RBAC, JWKS JWT auth, deployed on Render. An enterprise eDiscovery platform that is SOC 2 certified and runs across AWS, Azure, and GCP. FastAPI, PostgreSQL, Redis, Celery, Apache Solr, and Qdrant with hybrid RAG retrieval. Seven LLM providers unified behind one interface. Fifty domain modules. This is the type of system law firms pay $500K per year to access from commercial vendors. I built it from scratch. A full hospital operations SaaS for pediatric clinics. FastAPI, PostgreSQL, Redis, React TypeScript. The encounter engine creates 7 entity types inside a single ACID transaction. Invoice sequencing uses pessimistic row locking so numbers are always sequential under concurrent billing load. Five role tiers across 60 protected routes. A workflow that used to take 15 minutes at the front desk now takes under 30 seconds. A fully serverless retail collaboration platform on AWS. Twenty plus Lambda functions with 3 shared internal Python packages distributed via CodeArtifact. A LangChain AI agent with 6 integrated tools embedded inside a real-time chat interface. Notification fan-out across 6 channels from a single pipeline. Differential CI/CD across 4 environments so only the functions that changed get redeployed. An AI sales automation engine that replaced a 2 person SDR team. The system pulls real Gmail conversation history, injects it into GPT prompts, generates context-aware follow-up emails, and threads them back into the original conversation via RFC822 headers. Reply detection resets the sequence automatically. Over 1000 Pipedrive deals processed every minute during business hours with no human in the loop. A full-stack e-commerce operations platform that collapsed 6 separate tools into one system and cut daily operational overhead from 3 hours to 30 minutes. Multi-source order ingestion, automated SMS lifecycle, dual Kanban CRM with cross-entity SQL deduplication running every 5 minutes, one-click USPS batch processing. For clients I build full-stack SaaS MVPs with FastAPI or Node backend, React or Next.js frontend, Supabase or PostgreSQL, Stripe billing, and CI/CD deployment. Complete products with no handoffs. I build AI and LLM integrations that go beyond calling an API. RAG pipelines, LangChain agents with custom tools, OpenAI and Azure OpenAI, vector search with Qdrant or FAISS, document processing pipelines, GPT-powered workflows that eliminate manual processes. I build Python backends with multi-tenant RBAC, Celery task queues, Redis, WebSocket delivery, SAML SSO, and JWT auth. Production concerns are the default, not an upgrade. I also have genuine domain experience in healthcare software, construction and project management tooling, legal tech, and e-commerce operations. These are not projects I read about. They are systems I designed and shipped. Every system I deliver has proper auth, error handling, structured logging, and a working deployment pipeline. I do not build prototypes. I build things that run in production without anyone watching them. Available for full-stack development, AI integration work, SaaS MVP builds, and long-term product engineering engagements.

I build production-grade web applications end-to-end: scalable Python backends with Django and FastAPI, modern React and Next.js frontends, AWS cloud infrastructure, and AI-powered features that work in real production environments - not just demos. 100% Job Success Score. Top Rated Plus. $50K+ earned. 1,994 hours logged. 34 completed jobs. 6+ years building web applications. My longest Upwork client relationship runs 19+ months and counting on a Django ecommerce platform - that is what happens when code is built to last, not just to ship. WHAT CLIENTS HIRE ME FOR : - A SaaS product that needs to scale past MVP into something stable - A backend that needs Django or FastAPI expertise, not a generalist guess - AI features that need to actually work - OpenAI integration, automation, intelligent recommendations - A React or Next.js frontend that connects cleanly to a real backend - Data pipelines, web scraping, or automation that needs to run reliably - AWS deployment done properly - EC2, S3, Lambda, RDS, CI/CD WHAT I HAVE BUILT - REAL PROJECTS : Multi-Tenant SaaS Platform: Built with Python, Django, FastAPI, and React. Multi-tenant architecture supporting multiple client organizations on shared infrastructure. AI Coaching Platform: Python, Django, OpenAI integration, and Celery for background task processing. AI-powered coaching logic running on production infrastructure, not a prototype. Location-Based Food Platform: GeoDjango and PostGIS for geospatial data, deployed on AWS. Real-time location-based matching and routing. Django Ecommerce Backend: Ongoing client relationship since September 2024 (19+ months), 279+ hours logged. Continuous feature development and platform maintenance. Call Tracking and Analytics System: Webhook-based backend for call tracking, analytics, and agent callback routing in real time. TECH STACK : Backend: Python, Django, FastAPI, Flask, Celery, Django REST Framework Frontend: React, Next.js, TypeScript, TailwindCSS Databases: PostgreSQL, MongoDB, Redis, GeoDjango/PostGIS Cloud and DevOps: AWS (EC2, S3, Lambda, RDS), Docker, GitHub Actions, CI/CD AI and Automation: OpenAI API, LangChain, AI Agents, Web Scraping (Selenium, Playwright) Integrations: Stripe, PayPal, Twilio, SendGrid, OAuth, JWT Authentication, Webhooks HOW I WORK : I write clean, well-documented code that the next developer can actually understand. I communicate progress clearly instead of disappearing until delivery. I test before I ship. Fluent in English, available across time zones, and I respond within a few hours. Building a SaaS product, need a Python backend that scales, or want AI features that actually work - send me your project details. Keywords: Full Stack Python Developer, Python Developer, Backend Developer, Django Developer, FastAPI Developer, Flask Developer, React Developer, Next.js Developer, TypeScript Developer, AWS Developer, AWS Lambda, Amazon API Gateway, REST API Development, GraphQL Developer, Django REST Framework, API Integration, Third Party API Integration, JWT Authentication, OAuth Integration, Stripe Integration, PayPal Integration, Webhook Integration, AI Integration, OpenAI API Integration, AI SaaS Development, LangChain Developer, AI Agent Development, RAG Development, LLM Integration, SaaS Development, SaaS Platform, Multi-tenant SaaS, B2B SaaS, MVP Development, Custom Web App, Web Application Development, PostgreSQL Developer, PostgreSQL Optimization, MongoDB Developer, Redis Caching, Database Design, Database Optimization, Docker Deployment, Docker Containerization, CI/CD Pipeline, GitHub Actions, Celery Task Queue, Background Job Processing, Async Python, Web Scraping, Data Scraping, Selenium Automation, Playwright Scraping, Data Automation, Data Pipeline, Microservices, Microservices Architecture, Scalable Backend, Payment Integration, GeoDjango, PostGIS, AWS Solutions Architect, Database Migration

Python Developer specializing in FastAPI, Django, Flask & AI/ML solutions ⭐ Top Rated Plus – Ranked in the Top 1% of Lead Python developers on Upwork ✅ 14+ Years of Senior Python Excellence | 13,000+ Hours Delivered I personally handle all development and client communication, ensuring high-quality, scalable, and secure applications without outsourcing. From MVPs to enterprise SaaS platforms, I transform complex requirements into production-ready systems. I’ve been working with Django (since v0.3), Python (v2.3+), FastAPI, Flask, and React. I specialize in building intelligent systems with AI/ML, NLP, and LLMs. Since 2019, I’ve been leading cross-functional teams globally, while also working individually with clients to deliver clean, scalable solutions. Most of my work has been on production systems already serving real users, where I acted as the technical owner, not just an implementer. 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀: Contributed to Open edx: Enhanced the global open-source learning platform with Python/Django. KredX Financial Platform: Built APIs & real-time analytics with FastAPI for high-volume transactions. The Entertainer (Python + React): Delivered large-scale consumer app supporting millions of users. Moeving Mobility Platform: Designed scalable Python microservices for real-time fleet management. MTailor: Automated ML pipelines for computer vision body measurements. Surmount.AI: Built AI-powered legal assistant using Django + FastAPI + LLMs. Deflection.AI: Customer support system with Python APIs + vector similarity + NLP. I help startups and enterprises turn ideas into production-ready software. From rapid MVPs to AI-powered platforms, I combine deep technical expertise with hands-on leadership, guiding global cross-functional teams to deliver results on time and at scale. I am a CTO-level Senior Python Developer to lead the technical direction and hands-on development of a scalable, cloud-native platform built on Python and AWS 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: Backend & APIs: Python (FastAPI, Django, Flask), REST, GraphQL, async programming, microservices Databases: PostgreSQL, MySQL, MongoDB, Redis (optimized schemas, queries, and data modeling) AI/ML & Data: LLMs (OpenAI GPT, Whisper), NLP pipelines, TensorFlow, PyTorch, Pandas, NumPy Cloud & DevOps: AWS (Lambda, ECS, RDS, S3), GCP, Azure, Docker, Kubernetes, CI/CD automation Full Stack Collaboration: React, Next.js, Vue.js with secure, Python-driven backends 𝗪𝗵𝗮𝘁 𝗜 𝗗𝗲𝗹𝗶𝘃𝗲𝗿: ✔️ Scalable REST/GraphQL APIs & microservices ✔️ Data pipelines & AI/ML-powered systems ✔️ Cloud-native architectures (AWS/GCP/Azure) ✔️ Secure, tested, and future-proof code (CI/CD) ✔️ MVP-to-enterprise scaling with clear communication 𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀: Python Developer | Django Expert | FastAPI Developer | Flask Developer | Backend Engineer | API Development | AI/ML Engineer | Chatbot Developer | NLP Specialist | React Developer | SaaS Architecture | Cloud & DevOps | Docker | AWS | Data Pipelines | LLMs | TensorFlow | PyTorch | Web Scraping