I build 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗔𝗜 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀, SaaS platforms, and backend systems that solve real business problems. With 7+ years of software engineering experience, I work across 𝗔𝗜, 𝗯𝗮𝗰𝗸𝗲𝗻𝗱 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴, 𝗳𝘂𝗹𝗹-𝘀𝘁𝗮𝗰𝗸 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁, 𝗔𝗣𝗜𝘀, and 𝗰𝗹𝗼𝘂𝗱 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲. I can take a product from architecture and development through deployment, or work within an existing codebase to add features, integrate AI, and improve performance. My strongest area is 𝗔𝗜 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 — combining LLMs, RAG, AI agents, document intelligence, semantic search, structured outputs, and workflow automation with reliable software engineering. 𝗥𝗲𝗰𝗲𝗻𝘁 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀: 🧬 𝗚𝗲𝗻𝗔𝗜 𝗖𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 Built a GenAI platform for the pharmaceutical industry focused on automating the creation of Clinical Study Reports. The platform had two major GenAI workflows. → 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 Users uploaded TFL PDFs containing tables, figures, listings, metadata, and statistics. We used Claude to process the documents and extract structured information into JSON. Large PDFs were processed in smaller parts to handle context and processing constraints reliably. → 𝗔𝗜 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 Built a dedicated FastAPI service for generating clinical document sections. Instead of relying on one large prompt, we created layered prompts combining regulatory requirements, therapy-area information, company standards, document structure, section-specific instructions, and study data. Claude returned structured JSON containing generated content, summaries, verification information, and statistical values, making the output easier to validate and integrate into the application. → 𝗥𝗔𝗚 & 𝗥𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝘀 Implemented Amazon Titan embeddings with MongoDB Atlas Vector Search to retrieve relevant sections from previous and reference documents and provide additional context to the LLM during generation. → 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗔𝗜 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 The production system used AWS Bedrock, FastAPI, Redis, asynchronous background processing, validation, and retry mechanisms. After generation, users could edit the documents before sending them to a separate human review tool for final validation and approval. 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: Claude, AWS Bedrock, Amazon Titan Embeddings, MongoDB Atlas Vector Search, FastAPI, Python, Redis, Async Processing, RAG, Structured LLM Output, Prompt Engineering, Human-in-the-Loop 📄 𝗔𝗜 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 Built AI-powered document processing workflows that transform complex unstructured documents into structured, usable information. The systems combined document parsing, LLM-based extraction, structured outputs, validation logic, and backend APIs to make document-heavy workflows easier to automate and integrate into existing applications. 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: Python, FastAPI, LLM APIs, Document Processing, Structured Extraction, PostgreSQL 🧠 𝗥𝗔𝗚 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁𝘀 Developed knowledge-based AI applications that allow users to interact with internal business information through natural-language queries. Implemented document ingestion, chunking, embeddings, vector search, retrieval pipelines, prompt construction, and LLM-powered responses. 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: RAG, LangChain, Vector Databases, OpenAI, Claude, FastAPI, Python 🔎 𝗦𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝗦𝗲𝗮𝗿𝗰𝗵 & 𝗔𝗜 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 Built AI-powered search and workflow automation systems combining semantic retrieval, LLMs, application logic, and third-party APIs. The goal was to make business information easier to find and reduce repetitive manual workflows through AI-powered interfaces and automation. 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: Python, FastAPI, React, LLM APIs, Vector Search, REST APIs 🚀 𝗦𝗮𝗮𝗦 & 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 Built and improved SaaS platforms using Python backends and React/Next.js frontends. Work has included API development, authentication, database architecture, third-party integrations, feature development, performance optimization, Docker-based deployment, and AWS infrastructure. 𝗪𝗵𝗮𝘁 𝗜 𝗕𝘂𝗶𝗹𝗱: ◆ 𝗔𝗜 & 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 • AI agents and automated workflows • AI assistants and conversational applications • RAG systems and knowledge bases • LLM-powered business applications • OpenAI, Claude, Gemini integrations • Semantic search and intelligent retrieval • Structured LLM outputs • Human-in-the-loop AI workflows ◆ 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 • PDF and document processing • OCR + LLM pipelines • Document classification • Structured data extraction • Reference docume

I am a 𝐒𝐞𝐧𝐢𝐨𝐫 𝐏𝐲𝐭𝐡𝐨𝐧 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 with experience building scalable backend systems, APIs, automation solutions, and AI-powered applications for startups, SaaS products, internal platforms, and growing businesses. I help clients build new products, improve existing systems, modernize legacy applications, and develop backend solutions that are secure, maintainable, and ready for real production use. One of my strongest advantages is the way I use modern 𝐀𝐈 𝐜𝐨𝐝𝐢𝐧𝐠 𝐭𝐨𝐨𝐥𝐬 𝐚𝐧𝐝 𝐚𝐠𝐞𝐧𝐭𝐢𝐜 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 inside real engineering work. I actively use tools such as 𝐂𝐥𝐚𝐮𝐝𝐞 𝐂𝐨𝐝𝐞, 𝐂𝐨𝐝𝐞𝐱, 𝐆𝐢𝐭𝐇𝐮𝐛 𝐂𝐨𝐩𝐢𝐥𝐨𝐭, 𝐂𝐮𝐫𝐬𝐨𝐫, 𝐚𝐧𝐝 𝐬𝐢𝐦𝐢𝐥𝐚𝐫 𝐀𝐈-𝐚𝐬𝐬𝐢𝐬𝐭𝐞𝐝 𝐜𝐨𝐝𝐢𝐧𝐠 𝐭𝐨𝐨𝐥𝐬 to speed up code understanding, implementation, debugging, refactoring, and technical research. This helps me move faster and deliver more efficiently while still keeping architecture, code quality, testing, security, and release decisions under strong human oversight. 𝐖𝐡𝐚𝐭 𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐰𝐢𝐭𝐡: 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Python, FastAPI, Django, Flask 𝐀𝐏𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 & 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬: REST APIs, third-party integrations, webhooks, authentication, backend services 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬: internal tools, process automation, workflow automation, system integrations 𝐀𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: OpenAI, Claude, Gemini, LangChain, RAG pipelines, vector databases, AI assistants, document processing, intelligent automation 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬 & 𝐃𝐚𝐭𝐚 𝐇𝐚𝐧𝐝𝐥𝐢𝐧𝐠: PostgreSQL, MySQL, MongoDB, Redis, database-driven applications, query optimization, performance improvements 𝐀𝐬𝐲𝐧𝐜 & 𝐁𝐚𝐜𝐤𝐠𝐫𝐨𝐮𝐧𝐝 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠: Celery, background jobs, task automation, scalable backend logic 𝐃𝐞𝐯𝐎𝐩𝐬 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: Docker, GitHub, CI/CD pipelines, deployment workflows, cloud-ready systems, production support 𝐒𝐲𝐬𝐭𝐞𝐦 𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐦𝐞𝐧𝐭 & 𝐌𝐚𝐢𝐧𝐭𝐞𝐧𝐚𝐧𝐜𝐞: debugging, refactoring, optimization, performance tuning, codebase stabilization, long-term technical support I bring the most value to projects that need not only development, but also product understanding, technical ownership, and dependable delivery. My goal is to build solutions that support both immediate requirements and long-term progress. I’d be glad to help turn your idea or existing product into a dependable, well-built solution.

Top Rated Plus Python Engineer helping startups build AI agents, backend APIs, workflow automation, and large-scale data extraction systems. My work focuses on building production-ready solutions using Python, OpenAI, FastAPI, browser automation, and scalable scraping pipelines, with experience across AI agents, workflow automation, APIs, and large-scale data extraction. What I can help you with: ✔ AI Agents & OpenAI Integrations ✔ Workflow Automation & Process Optimization ✔ Web Scraping (Playwright, Selenium, dynamic sites, anti-bot handling) ✔ FastAPI Backend Development & API Integrations ✔ RAG Systems, AI Chatbots & LangChain/LangGraph Workflows ✔ Data Extraction Pipelines & Structured Outputs (CSV, JSON, DB) ✔ Browser Automation & Bot Development ✔ Cloud-based Automation & Deployment (AWS, Docker) ✔ Custom Python Scripts & Business Automation Recent work includes: • Built AI-powered workflow systems with automated document processing and response generation • Developed multi-agent architectures and RAG pipelines for intelligent search and retrieval • Created scraping infrastructures handling dynamic websites and structured large-scale datasets • Built trading automation systems, Chrome extensions, and real-time integrations • Developed backend APIs and automation pipelines for SaaS products I prioritize clean architecture, maintainable code, reliability, and solutions that work in production rather than prototypes that fail under scale. Whether you need an AI workflow, automation pipeline, scraper, backend API, or end-to-end Python solution, I focus on delivering systems that save time and support growth. Let’s discuss your project.

🌟 Top 1% Upwork Talent 🏆 Top Rated Plus 💰 $100K+ Earned on Upwork 🚀 57+ Projects Delivered 💻 9+ Years of Web Development Experience 𝐈 𝐛𝐮𝐢𝐥𝐝 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐒𝐚𝐚𝐒 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 𝐚𝐧𝐝 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞 𝐀𝐈 𝐝𝐢𝐫𝐞𝐜𝐭𝐥𝐲 𝐢𝐧𝐭𝐨 𝐫𝐞𝐚𝐥 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬, 𝐧𝐨𝐭 𝐝𝐞𝐦𝐨𝐬. 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐫𝐮𝐧 𝐨𝐧. Over the past 9+ years, I've worked across the full stack as an AI Full Stack Developer, Full Stack Developer, and SaaS Developer, building scalable web applications with Python, Django, FastAPI, React, Next.js, TypeScript, REST APIs, PostgreSQL, MongoDB, Redis, and cloud infrastructure. More recently, I've focused on AI development and LLM integration, using OpenAI/GPT, Claude/Anthropic, LangChain, RAG, AI agents, AI assistants, AI-powered analytics, embeddings, vector search, AI automation, and MCP to build AI directly into production systems. 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐫𝐢𝐧𝐠 𝐓𝐨 𝐘𝐨𝐮𝐫 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 • 𝐒𝐚𝐚𝐒 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 𝐛𝐮𝐢𝐥𝐭 𝐟𝐨𝐫 𝐬𝐜𝐚𝐥𝐞: Multi-tenant SaaS, AI SaaS, payment, healthcare, financial reporting, and analytics platforms with a focus on scalability, security, reliability, and data isolation. • 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐫𝐞𝐚𝐝𝐲 𝐀𝐈: Generative AI, LLM integrations, AI agents, AI assistants, RAG systems, AI chatbots, AI analytics, knowledge assistants, and AI automation using OpenAI, GPT, Claude, Anthropic, and LangChain. • 𝐅𝐮𝐥𝐥 𝐬𝐭𝐚𝐜𝐤 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Python, Django, FastAPI, REST APIs, backend architecture, databases, React, Next.js, TypeScript, SaaS dashboards, frontend development, and cloud deployment. • 𝐀𝐏𝐈𝐬, 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 & 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Stripe, Shopify, Amazon SP-API, Walmart, TikTok, QuickBooks, Xero, NetSuite, Toast, Google BigQuery, custom APIs, webhooks, OAuth, and business automation. 𝐖𝐡𝐚𝐭 𝐈 𝐇𝐚𝐯𝐞 𝐀𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐁𝐮𝐢𝐥𝐭 • AI-powered analytics engine for natural-language data querying and real-time insights. • Multi-tenant payment platform with tenant isolation, RBAC, audit logging, and three distinct portals. • Healthcare SaaS platform serving 1,150+ facilities with multi-role access and real-time alerts. • Large-scale data platform processing 350M+ records across all 50 US states using Google BigQuery and automated pipelines. • Ecommerce integration platform connecting Shopify, Amazon SP-API, Walmart, TikTok, and QuickBooks. • Financial reporting platform connecting QuickBooks, Xero, NetSuite, and Toast into a centralized dashboard. 𝐖𝐡𝐚𝐭 𝐘𝐨𝐮 𝐆𝐞𝐭 • Production-ready SaaS and web applications built for scalability. • AI features designed around real business requirements and production usage. • A developer who understands the business problem first and architects the right technical solution. • Full ownership across AI development, full stack development, APIs, integrations, databases, cloud deployment, and optimization. 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 AI: OpenAI, GPT, Claude, Anthropic, Generative AI, LLM, RAG, LangChain, AI Agents, MCP Backend: Python, Django, FastAPI, Flask, Django REST Framework Frontend: React, Next.js, TypeScript, JavaScript Database: PostgreSQL, MongoDB, Redis, Google BigQuery Cloud: AWS, Docker, GitHub Actions, CI/CD Integrations: Stripe, Shopify, Amazon SP-API, Walmart, TikTok, QuickBooks, Xero, NetSuite, Toast 𝐁𝐲 𝐓𝐡𝐞 𝐍𝐮𝐦𝐛𝐞𝐫𝐬 • 9+ years of web development • $100K+ earned on Upwork • 57+ projects completed • Top Rated Plus • Clients across the US, UK, EU, and Middle East If you need an AI Developer, AI Full Stack Developer, LLM Developer, Full Stack Developer, SaaS Developer, Python Developer, Django Developer, FastAPI Developer, React Developer, Next.js Developer, or AI Integration Developer, send me a message describing what you're building. 𝐈'𝐥𝐥 𝐭𝐞𝐥𝐥 𝐲𝐨𝐮 𝐞𝐱𝐚𝐜𝐭𝐥𝐲 𝐡𝐨𝐰 𝐈'𝐝 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐢𝐭. AI Developer, AI Engineer, AI Full Stack, Full Stack Developer, Full Stack Engineer, Full Stack Web Development, Web Development, Python, Python Full Stack, Backend Development, Frontend Development, Web Applications, SaaS Development, SaaS Architecture, AI SaaS, LLM Development, Generative AI, AI Applications, API Development, REST APIs, API Integration, Python Development, Django, FastAPI, Flask, React, Next.js, TypeScript, JavaScript, Node.js, OpenAI, GPT, Claude, Anthropic, Gemini, AI Agents, AI Assistants, RAG, LangChain, LlamaIndex, AI Automation, AI Chatbots, AI Analytics, LLM Integration, AI Integration, Multi-Tenant SaaS, Microservices, GraphQL, PostgreSQL, MongoDB, Redis, BigQuery, AWS, Docker, CI/CD, Cloud Development, Stripe, Shopify, Amazon SP-API, Walmart API, QuickBooks, Xero, NetSuite, Business Automation, Data Integration, Data Pipelines, Real-Time Applications, WebSockets, Custom Software, Software Architecture, Cloud Deployment, Performance Optimization.

I’m a Python AI Engineer focused on RAG chatbots, tool-calling agents, and workflow automation. I help teams turn messy documents and scattered data into reliable features that people can use every day — with validation, retries, and clear logging so results stay consistent after launch. Typical work I deliver: RAG assistants for docs/knowledge bases (embeddings, vector DB, citations, metadata filtering) AI agents that call tools (APIs, SQL/Postgres, webhooks) to complete multi-step workflows with guardrails + fallbacks FastAPI backends for AI products (structured JSON responses, background jobs, clean integration) Data extraction pipelines when needed (OCR + parsing + normalization) How I build it (so it doesn’t break later): Start with a small first milestone: one end-to-end flow on your real examples Add measurable checks: retrieval quality, schema validation, safe SQL/tool execution, and “I don’t know” behavior when context is missing Keep cost + latency practical: caching where it helps, prompt versioning, and predictable output schemas Ship with maintainability: clean code, Dockerized setup, and a short runbook your team can operate Stack I work with: Python, FastAPI, LangChain/LangGraph, OpenAI-compatible LLMs, SQL/PostgreSQL, Docker, and vector databases (FAISS/pgvector/Pinecone-style). I can also support ML/DL (PyTorch) and computer vision when the project needs it, but my day-to-day work is building LLM systems that integrate into real products. If you share your brief + sample data, I’ll propose a practical first milestone, timeline, and what “done” looks like. I’m comfortable with self-hosted setups (privacy constraints), and can deploy on Docker/cloud as required. I also add basic monitoring hooks so failures surface early (logs, alerts, and simple dashboards). Open to a quick call to align on scope and success metrics.

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

Hi, I’m Asad. 👋 I’m a Senior Full-Stack Engineer with nearly 6 years of experience building scalable web applications and deploying production-grade Generative AI systems. I don't just write basic API wrappers. I engineer the high-throughput backends, vector databases, and asynchronous pipelines required to make AI reliable, fast, and cost-effective at scale. If your AI prototype is hitting rate limits, burning through token costs, or failing under load, I’m the engineer who fixes it. Whether you need to take an AI MVP to production, modernize a legacy system into a modular architecture, or scale an enterprise application from scratch, I can help you architect and ship it. 🛠️ What I Bring to Your Team: - AI & Agentic Engineering: Production-ready LLM integration (OpenAI/Gemini), multi-agent orchestration, and production RAG pipelines using Vector Databases (Supabase, PostgreSQL, Pinecone). - Scalable Backends & Pipelines: High-performance microservices and background task management using Python (FastAPI), TypeScript, Redis, and Celery. - Modern Frontends: Fast, highly interactive, and responsive user interfaces built with React and Next.js. - DevOps & CI/CD: Clean, isolated containerization using Docker with smooth cloud deployment pipelines. 🚀 Highlighted Production Experience: - ExactMails: Served as Lead Engineer for a high-volume email marketing SaaS. Built the core architecture using FastAPI, Redis, and Celery to process massive data loads and automate AI marketing copy generation under heavy concurrency. - ProfexoHvac: Developed a modern, high-performance web platform tailored for complex engineering workflows, prioritizing smart local client data management and efficient backend state synchronization. - MapleHR: Overhauled a comprehensive, cloud-based HR management ecosystem, automating heavy administrative background processes and introducing data-driven team analytics. 🤝 Let's Connect I believe in clean code, transparent communication, and building systems that scale seamlessly. Whether you need a self-directed engineer to rapidly ship your MVP or a technical lead to guide your team past complex architectural hurdles, let’s talk. Drop me a message with a quick overview of your project, and let’s build something great!

Need accurate answers or structured data from contracts, invoices, legal files, or internal knowledge? I build and repair production document-AI and RAG systems with cited answers, extraction evaluation, access controls, and reliable FastAPI backends. I am a Senior AI Engineer with 10+ years in software development and 7+ years building AI/ML systems, Top Rated Plus on Upwork, and 4,700+ hours delivered on the platform. I build and improve production AI products, including AI agents, RAG systems, LLM applications, document intelligence, voice AI, and full-stack AI SaaS platforms. Clients usually bring me in when: • An AI prototype needs to become a real product • A RAG system gives weak, inconsistent, or poorly grounded answers • An AI agent needs tools, memory, workflows, approvals, or integrations • An existing SaaS product needs OpenAI, Claude, Gemini, or another LLM added properly • Latency, cost, reliability, security, or architecture is becoming a problem • They need one senior engineer who can understand both the AI layer and the product around it I do not force AI into every workflow. I separate what should be deterministic from what should be handled by an LLM, then design around failure modes, evaluation, retries, permissions, and human review where needed. What I can own: • AI product architecture and MVP development • RAG pipelines: ingestion, chunking, embeddings, vector search, retrieval, reranking, citations, and evaluation • AI agents: tool calling, memory, orchestration, guardrails, human-in-the-loop workflows, and external integrations • LLM integrations using OpenAI, Anthropic Claude, Gemini, and related APIs • AI backends and APIs using Python, FastAPI, Node.js, and TypeScript • Full-stack product development with React, Next.js, PostgreSQL, Supabase, and cloud deployment • Background jobs, queues, webhooks, retries, observability, auth, RBAC, and multi-tenant SaaS architecture • AI system audits, rescue work, performance improvement, and production hardening I am comfortable joining at the idea stage, taking over an existing prototype, or working inside a live production codebase. I can also tell you when an AI-heavy approach is unnecessary and a simpler system would be more reliable. Send me your idea, current architecture, or the part of the system that is not working. I will tell you what I would de-risk first, how I would approach it, and whether I am the right fit for the work.

I build production-ready AI agents, RAG applications, and workflow automation systems that help startups and growing businesses reduce manual work, improve operations, and launch reliable AI-powered products. I am a Top Rated Plus Python engineer with 5+ years of software development experience and 3+ years specializing in LLM applications, AI agents, and intelligent automation. I can take a project from initial architecture and prototype development through deployment, monitoring, and scaling. Recent work includes AI sales and marketing agents, document intelligence systems, voice-processing workflows, recruiting automation, internal knowledge assistants, and scalable Python APIs. What I can help you build: ✔ AI agents with tool and function calling ✔ RAG and document Q&A applications ✔ AI voice, sales, and lead-qualification workflows ✔ Customer support and internal knowledge assistants ✔ Recruiting and HR automation systems ✔ LLM evaluation, guardrails, and structured outputs ✔ Scalable Python APIs and background-processing systems ✔ Web scraping, data extraction, and automated data pipelines Core technology: Python, FastAPI, Django, OpenAI, Claude, Gemini, LangGraph, LangChain, LlamaIndex, PostgreSQL, Redis, Celery, Docker, vector databases, AWS, Azure, and GCP. Clients work with me when they need more than a basic chatbot or API integration. I focus on reliable architecture, clean implementation, measurable business outcomes, and systems that can operate safely in production. Send me your existing workflow, product requirements, or current technical bottleneck. I will help you define the right architecture and a practical first milestone.

⭐ Legacy System Modernization Expert | Django, FastAPI & Next.js Developer With 90+ completed projects and a 100% Job Success Score, I help businesses that have outgrown Excel and MS Access move to modern, scalable web applications. My background is unusual: I've spent years inside Access and Excel systems, so I understand exactly where they break down as a business grows — messy data, no real-time reporting, no multi-user support, no integrations. That experience now drives how I build the replacement: instead of guessing what a client needs, I know which pain points to solve first. ✅ What I Do Best - Convert Excel / Google Sheets / MS Access into full web-based systems - Build Shopify private apps and custom backend integrations - Develop high-performance REST APIs with FastAPI - Create modern admin dashboards with Next.js - Deploy complete solutions on VPS with Docker, Nginx & CI/CD pipelines 🚀 Independent & Client Projects (Outside Upwork) In addition to my verified Upwork history, I've delivered these projects independently: - Built IMSFlow — a cloud inventory + accounting platform with multi-channel sales integration (Shopify, WooCommerce, Amazon, eBay), order management, and full accounting reports (P&L, balance sheet, trial balance) - Migrated an MS Access inventory system to Django + PostgreSQL - Built Shopify API automation syncing orders/inventory with a custom CRM - Developed FastAPI middleware connecting WhatsApp orders to a MySQL database - Deployed production apps with Docker, Nginx, and GitHub Actions CI/CD 🛠 Core Technical Stack Backend: FastAPI, Django, Laravel Frontend: Next.js, React, TypeScript Databases: PostgreSQL, MySQL, SQL Server, Supabase Deployment: VPS, Docker, Nginx, CI/CD pipelines Integrations: Shopify Admin API, Webhooks, Automation ⭐ Why Clients Hire Me - Clear communication and business-first thinking (avg. response time under 4 hours) - Reliable delivery — 100% Job Success Score across 90+ completed projects - Proven experience modernizing legacy Access/Excel systems into scalable web apps - Full-cycle support: build → integrate → deploy → maintain If your business is running on Access, Excel, or a patchwork of disconnected tools and it's starting to hold you back, let's talk about what the next version looks like.