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

AI chatbot and RAG developer. 6 projects delivered, 5 five-star reviews. Live demo: prime-care-sit.vercel.app , RAG chatbot trained on business documents with lead capture and admin panel. Built with OpenAI API, LangChain, Pinecone, Supabase pgvector. Next.js, FastAPI, React. 100% Job Success, Top Rated. Here's what my clients say: "Shiza did an excellent job. She is quick and smart with her work. Lightning speed work. Highly impressed and recommended." "She is reliable, fast, and understands business logic well. She doesn't just code but thinks through practical use cases and suggests better workflows." "Shiza is an outstanding professional with exceptional technical skill and excellent communication. She delivered the work to the highest possible standard." WHAT I BUILD AI Chatbots & RAG Systems Chatbots trained on your business data using RAG (retrieval augmented generation). Upload documents, the AI answers only from your content. Lead capture, intent detection, embeddable widgets. Built with OpenAI API, LangChain, Pinecone, and Supabase pgvector. Document Processing & Data Extraction PDF parsing, OCR, invoice processing, structured data output from messy inputs. Built an AI invoice management system that processes PDFs and automates reconciliation for a real business. Full-Stack Web Applications React/Next.js frontend, FastAPI or NestJS backend, PostgreSQL/Firebase/Supabase database. Authentication, dashboards, admin panels, role-based access. Clean architecture that other developers can extend. RECENT PROJECTS RAG AI Chatbot + Lead Capture (5-star review) Embeddable chatbot widget trained on business documents. Lead capture with buying-intent detection, email notifications with conversation context, admin panel for managing docs and viewing leads. Live at prime-care-sit.vercel.app AI Chatbot with OpenAI and Flowise (5-star review) Custom AI chatbot for a client's website. Trained on business content, responsive design, integrated with existing systems. AI Invoice Management System Processes PDF invoices, extracts structured data, automates reconciliation, generates business reports. FastAPI backend, Next.js frontend. AI Inventory Chatbot Natural language queries against a database. Users ask "show me low stock items" and get structured answers. Dynamic SQL generation with LangChain. Built both web (React) and mobile (Flutter) versions. RAG Pipeline for LMS Document ingestion, text chunking, OpenAI embeddings, Pinecone vector storage for semantic search across large document sets. TECH STACK Frontend: React, Next.js, Tailwind CSS Backend: Python (FastAPI, Django), Node.js, NestJS AI/LLM: OpenAI API, LangChain, RAG pipelines Vector DB: Pinecone, Supabase pgvector, ChromaDB Database: PostgreSQL, Firebase, Supabase Mobile: Flutter (iOS + Android) DevOps: Docker, AWS, Vercel BS in Artificial Intelligence, National University of Modern Languages.

As a React Full Stack Developer & AI Software Engineer (100% Job Success), I bridge the gap between robust Next.js/MERN architectures and cutting edge generative AI. From command driven AI dashboards to high concurrency web apps, I deliver enterprise grade solutions that save time, automate workflows, and scale gracefully. Most developers just wrap AI APIs. I engineer secure, autonomous multi-agent systems and scalable SaaS platforms that actually drive business growth. ✔️ 6+ Years of Experience as a React Full Stack Developer & AI SaaS Specialist ✔️ Specialized in React, Next.js, Node.js, Python, FastAPI & Custom AI Agent Development ✔️ Helping Startups & Enterprises Build Autonomous AI Workflows & Scalable Web Apps ✔️ Trusted by Founders, Agencies, SaaS Teams & E-Commerce Brands I help businesses build modern web applications, AI-powered SaaS platforms, enterprise dashboards, and highly secure backend systems. My expertise lies in full-stack development using React, Next.js, TypeScript, Node.js, Python, PostgreSQL, and cloud deployments, supercharged by integrating intelligent, generative AI. Whether you need an enterprise AI platform with custom admin-commanded agents, an AI-generated art pipeline, or a high-concurrency B2B automation tool, I deliver clean, maintainable, and performance-optimized solutions as your dedicated Full Stack Developer. 🤖 AI Engineering & LLM Integration 🔹 Custom Autonomous AI Agents & Multi-Agent Ecosystems 🔹 Command-Driven Admin AI for custom agent builders where admins command AI to execute tasks 🔹 LLM & Search Integrations including OpenAI, Perplexity Live Web Search, and Claude 🔹 AI Observability & Tracing via Langfuse, OpenTelemetry, and Langchain 🔹 Generative AI & Media using ComfyUI, RunPod pipelines, Whisper, and server-side processing 💻 Full Stack Web Application Development 🔹 Front End Development using React, Next.js (App Router), TypeScript, and Tailwind CSS 🔹 Back End Development with Node.js, Express.js, NestJS, Python, and FastAPI 🔹 Responsive Web Applications for high-performance SaaS platforms and business dashboards 🔹 Real-Time Features including WebSockets, Live Presence Tracking, and Event-Driven Systems ⚙️ API Development & Backend Architecture 🔹 REST API & GraphQL API Development 🔹 PostgreSQL, MongoDB, MySQL, Supabase, and TypeORM Database Architecture 🔹 Secure Authentication via JWT, OAuth, Clerk, Speakeasy TOTP, and Multi-Method 2FA 🔹 Distributed Systems and Third-Party API Integration 🔹 Strict security and compliance enforcement using Pydantic and secure backend architectures ☁️ Cloud Deployment & Business Automation 🔹 AWS, Azure, GCP, and Vercel Cloud Infrastructure 🔹 Docker Containerization and CI/CD Pipelines 🔹 Background Workers, Cron Jobs, and Complex Task Scheduling 🔹 Workflow Automation with n8n, Make, Zapier, and HubSpot 🔹 Ongoing Maintenance, Server Monitoring, and Troubleshooting 🔄 My Process 🔹 Discovery: I start by understanding your business goals, AI use cases, workflow requirements, and project scope to ensure the perfect architecture. 🔹 Build: I develop scalable full-stack applications with clean code, regular updates, rigorous testing, and performance optimization. 🔹 Handover: You receive production-ready code, deployment support, comprehensive documentation, and reliable post-launch support. 🛠️ Tools & Tech Stack 🔹 Frontend: React, Next.js, TypeScript, JavaScript, Tailwind CSS, HTML5, CSS3, Blazor 🔹 Backend: Node.js, NestJS, Express.js, Python, FastAPI, .NET Core 🔹 AI & Data: OpenAI, Perplexity, Langfuse, ComfyUI, Whisper, RunPod 🔹 Databases: PostgreSQL, MongoDB, MySQL, Supabase, Redis 🔹 Cloud & DevOps: AWS, Docker, Vercel, CI/CD Pipelines, Linux VMs 🏆 Why Clients Choose Me Deep expertise in merging traditional Full Stack Web Development with advanced AI logic. Clean, maintainable, and performance-optimized enterprise code. End-to-End development from database architecture to cloud deployment. Reliable communication, fast turnaround, and a proven track record of successful launches. 📩 Ready to build your next AI-powered SaaS platform or scalable full-stack web application? Send me your project details. I respond quickly and can help you plan, architect, and launch production-ready applications efficiently.

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.

Need a Python AI developer to build a RAG application, production backend, AI SaaS product, or voice AI system? I build AI-powered applications using Python, Django, FastAPI, OpenAI, Claude, RAG, vector databases, and React. I can handle the complete workflow, including backend architecture, APIs, document processing, AI integration, authentication, databases, testing, and deployment. As a Top Rated Plus developer with 100% Job Success, $60K+ earned, and 2,800+ Upwork hours, I have delivered 40+ full-stack applications and implemented 15+ AI and machine-learning features. AI, RAG AND LLM DEVELOPMENT I build AI applications that connect large language models with documents, databases, APIs, and private business knowledge. • Retrieval-Augmented Generation applications • OpenAI and Claude integration • Document ingestion and processing • Embeddings and semantic search • Pinecone, Supabase and vector databases • AI knowledge bases and document assistants • Structured LLM outputs and prompt workflows • AI agents and business automation PYTHON, DJANGO AND FASTAPI DEVELOPMENT I develop reliable Python backends for AI products, SaaS platforms, dashboards, and API-driven applications. • Python, Django, FastAPI and Flask • REST API development and integration • PostgreSQL, Supabase and Redis • Authentication, permissions and user roles • Background processing and scheduled tasks • Stripe subscriptions and webhooks • Third-party API integrations • Existing backend improvements • AWS and Docker deployment AI SAAS AND FULL-STACK APPLICATIONS I can take an AI product from its backend and database architecture through to its user-facing web application. • AI SaaS MVP development • React and Next.js applications • Admin dashboards and internal AI tools • Multi-user and subscription platforms • AI features for existing SaaS products • Debugging and performance improvements • Production deployment and ongoing development VOICE AI AND CONVERSATIONAL SYSTEMS I build voice AI applications for customer communication, call automation, and real-time conversational workflows. • Twilio, Retell AI and Vapi • ElevenLabs and Deepgram • Speech-to-text and text-to-speech • AI voice agents and call automation • Real-time conversational workflows • Backend APIs and external integrations RELEVANT PROJECT EXPERIENCE • DataVersion: Built an AI document-processing and RAG platform using FastAPI, Next.js, Supabase, AWS, Pinecone, embeddings, and semantic search. • Key2: Developed AI voice and telecom workflows using Django, FastAPI, Twilio, ElevenLabs, OpenAI, Deepgram, and React. • OpenHome: Worked on a conversational voice AI platform using Django, Vue.js, Deepgram, ElevenLabs, OpenAI, AssemblyAI, and external APIs. • PitchFit: Developed an AI-powered SaaS platform using Flask, FastAPI, React, and Express.js. WHY CLIENTS HIRE ME • Top Rated Plus and 100% Job Success • $60K+ earned and 2,800+ Upwork hours • 40+ full-stack applications delivered • 15+ AI and machine-learning features implemented • Strong Python, Django, FastAPI and AI experience • Full ownership from architecture through deployment • Experience taking over and improving existing applications One client described me as the “best developer I have ever worked with on this platform.” Another highlighted my speed, consistency, knowledge, and practical communication. If you need a RAG system, Python backend, AI SaaS MVP, voice AI application, or improvements to an existing product, send me your requirements and current technology stack. I will review them and recommend the most practical way forward.

I build Python backends and the AI features that run on them. Most of the AI work I get pulled in to fix has the same story: it was built as a demo, and it broke the first time it met production traffic, live data, or a real bill. I work the other way around — backend first, then the AI wired in properly. Backend and APIs This is the core of what I do. REST APIs in Django and FastAPI, built to handle production traffic rather than just pass a quick test. Auth with JWT and OAuth, payments through Stripe and Razorpay, PostgreSQL and MongoDB schema design and indexing, and background jobs on Celery and Redis. With third-party integrations, I handle the part most people skip: what the system does when the external service is slow, down, or returning errors. GenAI integration On the deeper end, I build agentic systems in LangChain and LangGraph: custom tools, multiple agents working together, and proper memory and context handling across a workflow, with tool calls connected to the actual backend. On the everyday end, that's chatbots, content generation, automation, and retrieval over a client's own data (RAG) where it fits. I work across OpenAI, Claude, and Gemini, and I trace LLM calls and track token spend, because in production the cost matters as much as the output. What I care about is that the AI sits on a solid system — auth, a database, error handling, retries — so it behaves like a feature, not a science project. Deployment I deploy what I build. Docker, AWS or DigitalOcean, so the work goes out live and running, not handed over as a folder of code someone else has to figure out. How I work I ask questions before I write anything, because the wrong assumption early gets expensive later. I deal with edge cases instead of hoping they won't show up. I keep the code clean enough for the next person to read, I reply quickly, and I hit the dates I commit to. Industries I've worked in: e-commerce, SaaS, education, logistics, and internal tools. If you need a backend you can rely on — a new build, a broken system that needs sorting, or AI features that have to hold up in production — send me the details and I'll tell you how I'd approach it.

I am a senior software engineer with 10+ years of experience delivering robust, high-performance solutions across Microsoft, Cadence, and Oracle. My core expertise spans C++ development, backend architecture, and scalable data systems. In my freelance work, I’ve recently built production-grade backends for fintech/crypto clients, including a Crypto Data API (FastAPI · Redis · PostgreSQL) that unified multiple providers (CoinGecko, CryptoQuant) into normalized endpoints. The system featured background workers, Redis caching for sub-200ms responses, Postgres persistence for analytics, and secure access controls with rate limiting and admin tooling. I specialize in: ---Modernizing legacy codebases (C++/backend refactoring). ---Designing high-throughput APIs with FastAPI/NestJS. ---Integrating distributed workflows with Kafka & real-time data. ---Building resilient storage layers in Postgres, MongoDB, and Redis. I work with precision, accountability, and a strong focus on reliability and scalability. Whether extending thick client applications, designing APIs, or integrating complex data pipelines, I ensure production-grade quality with minimal supervision. Typical Workflow: Requirement clarification → Architecture & planning → Incremental development → Regular demos/updates → Production-ready delivery. Skills Snapshot: Languages: C++ (11/14/17/20), Python, TypeScript Frameworks: FastAPI, NestJS, Qt, React Data: PostgreSQL, MongoDB, Redis, Kafka Cloud & Tools: Docker, GitHub Actions, DigitalOcean What You Get - Clean, well-structured code with documentation - Production-ready APIs and data pipelines - Transparent communication and regular updates - Focus on reliability, scalability, and maintainability - Iterative, collaborative approach that adapts as requirements evolve

I build AI agents and full-stack SaaS products using Python, FastAPI, React, Next.js, LangGraph, LangChain, and leading AI models. I am a Top Rated Plus engineer with 100% Job Success, $100K+ earned, and 5,900+ hours delivered on Upwork. I have worked on AI agents, healthcare platforms, customer support automation, RAG applications, AI chatbots, document intelligence, and workflow-heavy SaaS products. My role is not limited to prompts or model integration. I work across the complete product layer, including agent workflows, backend APIs, frontend applications, databases, authentication, integrations, permissions, and cloud deployment. Before recommending an AI solution, I first understand the users, existing workflow, available data, integrations, security needs, and the business result the system should achieve. This helps determine whether the right solution is an AI agent, multi-agent workflow, RAG system, internal assistant, conventional automation, or a simpler software feature. What I can help you build: - AI agents connected with APIs, databases, CRMs, support platforms, and internal tools - Single-agent and multi-agent workflows using LangGraph and LangChain - Full-stack AI SaaS products using Python, FastAPI, React, and Next.js - Customer support agents, AI copilots, onboarding assistants, and internal business tools - RAG applications, document Q&A, semantic search, and knowledge assistants - Secure backend APIs, authentication, role-based access, and admin dashboards - Healthcare AI platforms, clinical workflow tools, and HIPAA-aware applications - AI integrations using OpenAI, Azure OpenAI, Claude, Gemini, and other models - Existing AI prototypes that need better architecture, accuracy, integrations, or production readiness My core technology stack includes: Python, FastAPI, Django, React, Next.js, TypeScript, JavaScript, LangGraph, LangChain, OpenAI, Azure OpenAI, Claude, Gemini, PostgreSQL, MongoDB, Redis, Pinecone, Qdrant, pgvector, REST APIs, GraphQL, AWS, Azure, GCP, Docker, and CI/CD. I have worked across healthcare, customer support, fintech, real estate, data analytics, productivity, and enterprise workflow products. My focus is always on building systems that are practical, secure, scalable, and useful in real business operations. I am a good fit when you need someone who can take ownership of the complete AI product, from understanding the workflow and planning the architecture to building the backend, frontend, agent logic, integrations, and deployment. Have an AI agent, SaaS product, or existing workflow that you want to improve? Let’s start with a short discovery call to review your goals, current system, data, and integrations, and map the most practical first milestone.

𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗮 𝗯𝗮𝗰𝗸𝗲𝗻𝗱 𝘁𝗵𝗮𝘁 𝗵𝗼𝗹𝗱𝘀 𝘂𝗽 𝗶𝗻 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗶𝘀 𝗵𝗮𝗿𝗱𝗲𝗿 𝘁𝗵𝗮𝗻 𝗶𝘁 𝗹𝗼𝗼𝗸𝘀. 𝗜 𝗱𝗼 𝗶𝘁 𝗲𝘃𝗲𝗿𝘆 𝗱𝗮𝘆. 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗣𝘆𝘁𝗵𝗼𝗻 𝗯𝗮𝗰𝗸𝗲𝗻𝗱 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗮𝗻𝗱 𝗔𝗜-𝗲𝗻𝗮𝗯𝗹𝗲𝗱 𝗦𝗮𝗮𝗦 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 designed for real production use - not demos or short-lived prototypes. My work covers the complete backend layer: application architecture, FastAPI and Django APIs, AI model integrations, database design, third-party services, serverless workflows, and deployment. Whether you are building a new product, converting an MVP into a production-ready platform, or improving an existing backend, I focus on systems that are secure, maintainable, reliable, and built to scale without a full rewrite every six months. 𝗪𝗛𝗔𝗧 𝗜 𝗕𝗨𝗜𝗟𝗗 𝗣𝘆𝘁𝗵𝗼𝗻 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 Django, FastAPI, and Flask backends covering REST APIs, GraphQL, microservices, and serverless applications using AWS Lambda and API Gateway. Clean architecture, proper database design with PostgreSQL, MongoDB, and Redis, and CI/CD pipelines that make deployments reliable instead of stressful. 𝗔𝗜-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 AI model integrations, RAG pipelines, LLM-powered features, and automation workflows built directly into backend systems using LangChain, OpenAI, and vector databases to connect AI capabilities with real business data. 𝗦𝗮𝗮𝗦 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 & 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗔𝗣𝗜𝘀 Production-ready SaaS backends with multi-tenant architecture, subscription systems, third-party integrations, and the infrastructure to handle real users at real scale. 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 & 𝗥𝗲𝗳𝗮𝗰𝘁𝗼𝗿𝗶𝗻𝗴 Slow APIs, unreliable systems, and backends that were built for an MVP but never upgraded. I audit, restructure, and rebuild what is not working without disrupting what already is. 𝗠𝗬 𝗘𝗡𝗚𝗜𝗡𝗘𝗘𝗥𝗜𝗡𝗚 𝗔𝗣𝗣𝗥𝗢𝗔𝗖𝗛 I begin by understanding the product workflow, users, data requirements, integrations, and expected traffic before touching a line of code. From there, I define a practical architecture, build modular services, structure databases for performance, and document everything for future development and handoff. The goal is not to overengineer. It is to build the right foundation for the current stage while keeping future growth manageable. 𝗪𝗛𝗘𝗡 𝗜'𝗠 𝗔 𝗚𝗢𝗢𝗗 𝗙𝗜𝗧 If you need a Python backend for a SaaS or AI product, an MVP that is ready for production, APIs that are faster and easier to maintain, AI capabilities connected to real business data, AWS deployment or serverless architecture, or an existing backend that needs restructuring or optimization, we will likely be a good fit. 𝗧𝗘𝗖𝗛𝗡𝗢𝗟𝗢𝗚𝗬 𝗦𝗧𝗔𝗖𝗞 Python · Django · FastAPI · Flask · REST APIs · GraphQL · PostgreSQL · MySQL · MongoDB · Redis · AWS EC2 · Lambda · S3 · RDS · API Gateway · Docker · Kubernetes · GitHub Actions · GitLab CI · LangChain · OpenAI API If you are building or improving a Python backend or AI-powered SaaS, send me a brief overview of your product, current stack, and the main challenge you are facing. I'll tell you exactly how I would approach it. 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 AI Engineer, Backend Developer, Python Developer, FastAPI Developer, Django Developer, Flask Developer, SaaS Development, Backend Development, API Development, REST API, GraphQL, AI Integration, API Integration, Microservices, PostgreSQL, MongoDB, Redis, AWS, Serverless Architecture, Docker, Kubernetes, CI/CD, Database Development, and Cloud Deployment

I’m Sandeep, a Senior Backend & AI Engineer with 5+ years of experience building AI-enabled SaaS platforms, high-performance APIs, LLM/RAG workflows, and production-ready microservices. I specialize in Python, FastAPI, Django, REST APIs, microservices, PostgreSQL, Redis, MongoDB, vector databases, LangChain, OpenAI/LLM integrations, Docker, Kubernetes, AWS, and GCP. My focus is to convert ideas and prototypes into secure, scalable, and maintainable production systems. At Coretus, I also work with reusable Microservices Accelerators for common backend foundations like authentication, RBAC, payments, notifications, API structure, and deployment patterns. This helps reduce repetitive setup work and allows more focus on your core business logic, AI workflows, and product scalability. What I can help you with : Backend Architecture & API Development  I build secure and scalable backend systems using Python, FastAPI, Django, REST APIs, OpenAPI/Swagger, PostgreSQL, MongoDB, Redis, and clean microservice patterns. AI, LLM & RAG Development  I develop AI-powered backend systems, RAG pipelines, LLM API integrations, LangChain workflows, embeddings, vector search, AI agents, and automation layers. SaaS & Multi-Tenant Platforms  I design backend systems for SaaS products with role-based access, tenant isolation, admin workflows, subscription/payment logic, dashboards, and scalable database structures. Async Processing & Data Workflows I build queue-based systems using Celery, Kafka, RabbitMQ, Redis, background jobs, event-driven workflows, and high-volume data processing pipelines. Cloud, DevOps & Production Deployment I dockerize applications, set up CI/CD pipelines, deploy on AWS, GCP, Kubernetes, AWS Lambda, or GCP Cloud Run, and support production debugging and performance optimization. I have worked on backend and AI systems for: AI recruitment SaaS with resume parsing, candidate matching, LLM integration, and vector search AI nutrition and meal planner app with food recognition, GPT APIs, Redis caching, and personalized recommendations Multi-tenant scheduling SaaS with calendar sync, timezone handling, payment workflows, and queue-based booking logic Algorithmic trading backend with Kafka, Redis, WebSockets, broker APIs, and real-time analytics Real-time communication app with WebSocket/WebRTC signaling, Redis sync, and low-bandwidth messaging workflows Job platform with REST APIs, Elasticsearch search, application workflows, and third-party integrations Why clients work with me Strong Python, FastAPI, Django, and backend architecture experience Practical experience with AI, LLM, RAG, vector databases, and automation workflows Scalable SaaS and microservices development approach Clean API structure with authentication, RBAC, documentation, and maintainable code Production-focused mindset from architecture to deployment Clear communication and reliable delivery Whether you need a backend from scratch, an AI/RAG feature, a scalable SaaS architecture, API optimization, automation workflows, or cloud deployment support, I can help you build a reliable technical foundation. Let’s connect and discuss how we can turn your backend idea into a secure, scalable, and production-ready system. Sandeep Thesiya Senior Backend & AI Engineer | Python | FastAPI | SaaS | RAG | Microservices