I am a Full Stack Developer with 5+ years of experience helping clients turn their ideas into real, working products. I have strong experience in both web & mobile application development, along with building complete frontend and backend solutions that are practical, user-friendly, and aligned with various business needs. Beyond development, I also help clients improve and grow their products over time by adding new features, integrating AI-powered functionality, optimizing performance, and maintaining long-term stability. Whether it’s building from scratch, fixing existing issues, or upgrading an application with modern technologies, I focus on delivering clean, maintainable, and reliable solutions. Services I Offer - Custom Web Application Development (React.js, Next.js) - Mobile App Development (React Native for Android & iOS) - Full Stack Development (Frontend + Backend solutions) - AI Integration & AI-Powered Features - AI Chatbot Development & OpenAI/ChatGPT Integrations - AI Automation & Workflow Solutions - API Development & Third-Party Integrations - Database Design & Management (MongoDB, MySQL, Firebase) - Responsive UI/UX Implementation for Web & Mobile Apps - Authentication Systems (JWT, OAuth, Role-based access) - App Deployment (Google Play Store & Apple App Store publishing) - Web App Hosting & Deployment (Vercel, Netlify, AWS) - Bug Fixing, Optimization & Performance Improvements Maintenance & Ongoing Support for Existing Applications AI & Automation Solutions - ChatGPT/OpenAI API Integration - AI Customer Support Chatbots - AI Content Generation Features - AI Voice & Assistant Features - WhatsApp Automation Systems - AI-powered Search & Recommendations - Smart Workflow Automation for Businesses I keep things simple: - Clear communication so nothing gets lost or misunderstood - Honest timelines with realistic delivery expectations - High-quality, reliable work that meets your exact requirements - Continuous improvements and feature updates as your product grows If you have an idea, need help fixing something or want to build a complete product from scratch, feel free to message me! I would be happy to discuss your project and see how I can help.

✅ $60K+ Total earnings ✅8+ Years experience as Fullstack Developer ✅ 28+ Projects Completed. ✅Top Rated Plus. ✅ 98% Job Success Rate ✅40hrs/week available✅ 4+ AI/ML Integrations 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭 / 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬: 𝐂𝐫𝐞𝐰𝐀𝐈 / 𝐀𝐮𝐭𝐨𝐆𝐞𝐧 / 𝐀𝐦𝐚𝐳𝐨𝐧 𝐏𝐨𝐥𝐥𝐲 / 𝐃𝐞𝐞𝐩𝐠𝐫𝐚𝐦 / 𝐑𝐚𝐬𝐚 𝐀𝐈 / 𝐑𝐢𝐯𝐞𝐫𝐬𝐢𝐝𝐞 𝐒𝐃𝐊 / 𝐀𝐳𝐮𝐫𝐞 𝐀𝐈 𝐒𝐩𝐞𝐞𝐜𝐡/𝐋𝐋𝐌 𝐅𝐢𝐧𝐞𝐭𝐮𝐧𝐢𝐧𝐠: 𝐔𝐬𝐢𝐧𝐠 𝐏𝐄𝐅𝐓 / 𝐋𝐨𝐑𝐀 / 𝐐𝐋𝐨𝐑𝐀 / 𝐑𝐋𝐇𝐅 / 𝐃𝐏𝐎 / 𝐒𝐅𝐓 𝐰𝐢𝐭𝐡 𝐔𝐧𝐬𝐥𝐨𝐭𝐡 / 𝐀𝐱𝐨𝐥𝐨𝐭𝐥 / 𝐇𝐮𝐠𝐠𝐢𝐧𝐠𝐅𝐚𝐜𝐞 𝐀𝐮𝐭𝐨𝐓𝐫𝐚𝐢𝐧 / 𝐒𝐚𝐠𝐞𝐌𝐚𝐤𝐞𝐫 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠/𝐎𝐩𝐞𝐧-𝐒𝐨𝐮𝐫𝐜𝐞 𝐋𝐋𝐌𝐬: 𝐋𝐋𝐀𝐌𝐀 𝟑 / 𝐌𝐢𝐬𝐭𝐫𝐚𝐥 𝟕𝐁 / 𝐌𝐢𝐱𝐭𝐫𝐚𝐥 𝟖𝐱𝟕𝐁 / 𝐅𝐚𝐥𝐜𝐨𝐧 / 𝐆𝐞𝐦𝐦𝐚 / 𝐁𝐥𝐨𝐨𝐦 / 𝐎𝐫𝐜𝐚 𝐌𝐢𝐧𝐢 / 𝐆𝐮𝐚𝐧𝐚𝐜𝐨/𝐅𝐚𝐬𝐭 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞: 𝐯𝐋𝐋𝐌 / 𝐓𝐆𝐈 / 𝐓𝐞𝐧𝐬𝐨𝐫𝐑𝐓-𝐋𝐋𝐌 / 𝐒𝐊𝐏𝐢𝐥𝐨𝐭/𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: 𝐌𝐮𝐥𝐭𝐢-𝐭𝐮𝐫𝐧 / 𝐅𝐞𝐰-𝐬𝐡𝐨𝐭 / 𝐙𝐞𝐫𝐨-𝐬𝐡𝐨𝐭 / 𝐑𝐀𝐆-𝐁𝐚𝐬𝐞𝐝 / 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐚𝐛𝐥𝐞 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬/𝐐𝐮𝐚𝐧𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧: 𝐀𝐖𝐐 / 𝐆𝐏𝐓𝐐 / 𝐆𝐆𝐔𝐅 / 𝐆𝐆𝐌𝐋 / 𝐐𝐋𝐎𝐑𝐀 / 𝐏𝐓𝐐 / 𝐃𝐐/𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 & 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: 𝐋𝐚𝐧𝐠𝐂𝐡𝐚𝐢𝐧 / 𝐋𝐥𝐚𝐦𝐚𝐈𝐧𝐝𝐞𝐱 / 𝐂𝐡𝐫𝐨𝐦𝐚 / 𝐅𝐀𝐈𝐒𝐒 / 𝐏𝐢𝐧𝐞𝐜𝐨𝐧𝐞 / 𝐐𝐝𝐫𝐚𝐧𝐭 / 𝐖𝐞𝐚𝐯𝐢𝐚𝐭𝐞 / 𝐌𝐢𝐥𝐯𝐮𝐬 Greetings! I am Sonam, a seasoned developer with over 8+ years of experience in web application and software development. Working with LLMs for the past 8+ years and have good expertise in AI Agents development using langchain, LlamaIndex, and LLMs like Claude, GPT4o, Amazon Bedrock, Ollama 🔹 AI Agents / Voice Agents: CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI 🔹 LLM Fine-tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, HuggingFace AutoTrain 🔹 Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8×7B, Falcon, Gemma 🔹 Inference Optimization: vLLM, TGI, TensorRT-LLM 🔹 Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts 🔹 Quantization: AWQ, GPTQ, GGUF, GGML 🔹 RAG Systems: LangChain, LlamaIndex, ChromaDB, FAISS, Pinecone, Qdrant 🔹 Data Pipeline: Synthetic dataset generation, LLM evaluation frameworks 🔹 LLM Deployment: AWS Sagemaker, RunPod, GCP AI Platform, Vercel AI SDK 🖥️ 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 Proficient in Node.js, Express.js, Python, Django, Flask, AWS Lambda for backend API. 🔹 Experienced with relational & NoSQL databases: MySQL, PostgreSQL, MongoDB, Firebase, Firestore. 🔹 Skilled in Python FastAPI, REST API, GraphQL API development, and database schema design. 🔹 Knowledgeable in Redis, Docker, Kubernetes, AWS EC2, S3, Nginx for scalable infrastructure. 🔹 Experienced with Nest.js for enterprise-grade server-side applications. 🔹 LangChain, LangServe, LangSmith, HuggingFace, Transformers for AI/LLM integrations. 🔹 Vector Databases: Chroma, FAISS, Pinecone, Qdrant for RAG pipelines. 🔹 Low-code AI tools: Flowise AI, LangFlow, StackAI for rapid prototyping. 🔹 Familiar with Celery task queues, testing frameworks (Pytest, Unittest), and automation tools like Selenium. 🌐 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 Proficient in TypeScript, Redux Toolkit, Tailwind CSS with Next.js for high-performance frontends. 🔹 Skilled in building Progressive Web Apps (PWA) and Single Page Applications (SPA). 🔹 Expert in Vue.js, Nuxt.js, React.js, Next.js, HTML5, CSS3, React Native for responsive and cross-platform UIs. 🛠️ 𝗧𝗼𝗼𝗹𝘀 & 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: 🔹 Skilled in Python ML libraries: Scikit-learn, Numpy, Pandas, Matplotlib, Seaborn. 🔹 Familiar with OpenAI APIs, Whisper, GPT models, ChatGPT integration, and AI chatbot deployment. 🔹 Experienced with AWS (Lambda, S3, EC2, Sagemaker), Git/GitHub, and Linux environments (Ubuntu, CentOS). 🌟 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗔𝗜 & 𝗟𝗟𝗠 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 AI Agents / Voice Assistants: CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI. 🔹 Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8×7B, Falcon, Gemma. 🔹 Inference Optimization: vLLM, TGI, TensorRT-LLM for high-speed deployments. 🔹 Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts. 🔹 Quantization: AWQ, GPTQ, GGUF, GGML for efficient LLM deployment. 🔹 LLM Fine-tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, H My expertise spans both frontend and backend technologies, as well as a variety of tools and additional skills that enable me to deliver comprehensive solutions. I am dedicated to providing high-quality, efficient solutions that cater to the unique needs of each project. My diverse skill set allows me to approach challenges from multiple angles, ensuring robust and innovative solutions. Warm regards, Sonam

SaaS products break at the seams, between services, payment systems, third-party APIs, and the business logic holding it all together. I built the backend infrastructure that keeps those seams solid. With 12+ years of engineering experience and deep focus on Python (FastAPI, Django) , I ship production SaaS that handles real load: multi-tenant platforms, Stripe billing, CRM/ERP integrations, and React frontends connected to complex backends. Where I add the most value: → SaaS backend architecture (FastAPI, Django, PostgreSQL) → API design and third-party integrations (Stripe, CRMs, ERPs) → Multi-tenant platform infrastructure → React frontends connected to complex backends → AI feature integration (OpenAI, LangChain) built into the system If you need a system that works in production, not just in demos - let's talk.

Hi, I am a Senior Full-Stack Developer with strong AI/ML expertise, available for a full-time role. I have 8+ years of experience building scalable, high-performance web applications and AI-powered systems using JavaScript, TypeScript, and Python. I specialize in React, Node.js, Next.js, NestJS, and Python-based AI services, and I design end-to-end solutions that combine modern frontend, scalable backend, LLMs, RAG pipelines, and AI automation. My experience spans microservices architecture, cloud infrastructure, DevOps, and MLOps, enabling production-ready and business-focused delivery. ⭐ Frontend Development (React & Next.js) ✅ Proficient in React for building dynamic, component-based user interfaces using hooks and context ✅ Extensive experience with Next.js for SSR, SSG, API routes, and performance/SEO optimization ✅ Skilled in Material-UI and Ant Design for responsive and modern UI systems ✅ Strong understanding of PWAs, performance optimization, code splitting, and lazy loading ✅ Experience integrating AI-driven features such as chat interfaces, dashboards, and real-time AI outputs ⭐ Backend Development (Node.js, NestJS & Python) ✅ Strong experience building RESTful and GraphQL APIs using Express.js and NestJS ✅ Designed scalable microservices using TypeScript with clean architecture principles ✅ Implemented secure authentication and authorization using JWT, OAuth2, and RBAC ✅ Built high-performance backend services using Python frameworks such as FastAPI and Flask ✅ Developed AI-enabled APIs for LLMs, RAG systems, automation workflows, and ML inference ⭐ AI / ML, LLMs & RAG Systems ✅ Built LLM-powered applications using OpenAI, Hugging Face, LangChain, and LlamaIndex ✅ Designed Retrieval-Augmented Generation (RAG) pipelines with document ingestion, embeddings, and semantic search ✅ Hands-on experience with vector databases including FAISS, Pinecone, Chroma, and Weaviate ✅ Integrated prompt engineering, tool calling, and AI agents into production systems ✅ Experience with image generation and processing models (Stable Diffusion–based pipelines) ⭐ Machine Learning & Data Processing ✅ Experience with PyTorch, TensorFlow, Scikit-learn, and XGBoost ✅ Built predictive models for classification, clustering, and forecasting use cases ✅ Worked with data pipelines using Pandas, NumPy, PySpark, and SQL ✅ Familiar with model evaluation, optimization, and performance monitoring ⭐ Databases (SQL, NoSQL & Vector) ✅ Strong experience with MongoDB using Mongoose for schema design and validation ✅ Proficient in PostgreSQL for relational data modeling and complex queries ✅ Experience managing vector databases for semantic search and AI retrieval ⭐ Cloud, DevOps & MLOps ✅ Deployed scalable systems on AWS (ECS, EC2, S3, RDS, Lambda) ✅ Containerization using Docker and orchestration with ECS/Kubernetes ✅ CI/CD pipelines using GitHub Actions and Jenkins ✅ Logging and monitoring using ELK Stack, Prometheus, and Grafana ✅ Implemented MLOps workflows for model versioning, deployment, monitoring, and automation ⭐ Key Projects & Achievements ✅ AI Image Generation Platform: Led development of a production-grade AI image generation and processing system using Python, FastAPI, Stable Diffusion, AWS ECS, and MLOps pipelines ✅ E-Learning Platform: Built a scalable MERN-based learning platform with analytics and role-based access ✅ E-commerce Platform: Developed a high-performance Next.js + NestJS solution, improving SEO and increasing traffic by 30% ✅ AI-Powered Assistants & Chat Systems: Implemented real-time applications with LLM-based responses and RAG-backed knowledge retrieval My strength lies in combining full-stack engineering with AI/ML systems, allowing me to build intelligent, scalable, and production-ready applications that deliver measurable business outcomes.

Senior AI Full-Stack Developer building production AI SaaS, Next.js, React, Supabase, Python/FastAPI, OpenAI & Claude APIs, LangChain, RAG. 100% JSS | Top Rated Plus | $30K+ earned | Products serving 3M+ users. Send me an invite or message, and I'll record you a free personalized Loom showing exactly how I'd approach your project and what I would do to move the needle. That's my promise. 𝐇𝐞𝐲, 𝐈'𝐦 𝐀𝐝𝐚𝐧 👋 For the last 5+ years, I've built and shipped AI-powered SaaS products end to end, from MVP architecture to production scale. Recent work includes an AI ed-tech platform serving 3M+ users, a music game that hit 10K+ users and $2K+ MRR within 3 weeks of launch, real-time AI voice agents, and AI SEO/brand-visibility platforms built on GPT-4, Claude, and Perplexity. 𝐖𝐇𝐀𝐓 𝐈 𝐁𝐔𝐈𝐋𝐃 🔹 AI SaaS & MVP Development: Full products from idea to launch: multi-tenant architecture, auth, billing (Stripe), dashboards, and deployment. Fast, scalable, and built to grow. 🔹 AI Agents, Chatbots & RAG: Custom AI agents and chatbots using OpenAI, Claude, and LangChain, with retrieval-augmented generation over your own data. I've shipped AI companions, document Q&A systems, and content-generation pipelines in production. 🔹 AI Voice Agents & Real-Time Apps: Speech-to-text, TTS, and live AI participants in calls using Deepgram, ElevenLabs, Whisper, and WebRTC. 🔹 API Development & Integrations: Third-party integrations done right: Stripe, PayPal, Google SSO, HubSpot, Twilio, Shopify, Meta/Facebook, LinkedIn, YouTube, Google Analytics, and more. 🔹 Workflow Automation: AI-driven automation for content, lead handling, and internal ops, including Make (Integromat) pipelines and custom Python automation. 🔹 Full-Stack Development & Rescue Work: Modern, responsive UIs from Figma; debugging, performance optimization, and stabilizing existing codebases. 𝐌𝐘 𝐒𝐓𝐀𝐂𝐊 • Frontend: React, Next.js, TypeScript, Tailwind CSS, ShadCN • Backend: Python (FastAPI, Flask, Django), Node.js, REST APIs • Data: Supabase, PostgreSQL, MySQL, MongoDB • AI: OpenAI GPT-4, Claude, LangChain, RAG, vector search, Whisper, ElevenLabs • Infra: Vercel, AWS, DigitalOcean, CI/CD, edge functions 𝐖𝐇𝐘 𝐂𝐋𝐈𝐄𝐍𝐓𝐒 𝐊𝐄𝐄𝐏 𝐂𝐎𝐌𝐈𝐍𝐆 𝐁𝐀𝐂𝐊 ✔️ 100% Job Success, Top Rated Plus, 40+ projects delivered ✔️ Extreme ownership, I treat your product's success as my own ✔️ Proactive, transparent communication; you always know where things stand ✔️ Built for scale, architecture decisions that won't need a rewrite in 6 months ✔️ On time, every time Ready to build? Click INVITE or send a message; your personalized Loom walkthrough is waiting.

Most AI projects fail not because of bad technology, but because no one shipped them to production. I build 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 𝐒𝐲𝐬𝐭𝐞𝐦𝐬, 𝐑𝐀𝐆 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 & 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬 that handle real users and real data, not demos. Trusted by L'Oréal Middle East, Oman Housing Bank, United Industries Limited & enterprise clients across US & Middle East. 𝟑𝟐 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 | 𝟏,𝟓𝟗𝟏 𝐡𝐨𝐮𝐫𝐬 | 𝟏𝟎𝟎% 𝐉𝐒𝐒 | 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐏𝐥𝐮𝐬 🏆 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝 👨🏻‍💻 🤖 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 & 𝐋𝐚𝐧𝐠𝐆𝐫𝐚𝐩𝐡 Multi-agent systems built with LangGraph and LangChain, autonomous workflows where AI agents collaborate, make decisions, and execute tasks end-to-end. From financial AI platforms for hedge funds to healthcare automation pipelines, every system ships to production with real data, not just demos. 🎙️ 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Production voice agents that handle real inbound & outbound calls, built on Convoi.AI, Twilio, Whisper & ElevenLabs. Deployed for healthcare, hospitality, home services & GCC enterprise clients. Handles multilingual conversations, live CRM integration & seamless human handoff, zero latency, zero hallucination. 🔍 𝐑𝐀𝐆 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 & 𝐋𝐋𝐌 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 Retrieval-Augmented Generation systems that answer questions from live business data, not hallucinations. Built with hybrid search (BM25 + dense retrieval), pgvector, Pinecone & custom reranking pipelines. Production deployments across legal, financial & healthcare verticals. ⚙️ 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 End-to-end automation pipelines connecting AI models to real business systems, CRMs, ERPs, databases & third-party APIs. Built on Apache Airflow, n8n, Make & LangGraph. Replaces manual processes with intelligent, self-monitoring workflows that scale. 🧠 𝐆𝐫𝐚𝐩𝐡 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬 & 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐌𝐋 Anomaly detection, threat intelligence & predictive modeling using Graph Neural Networks, deployed for a US cybersecurity firm handling advanced threat detection at scale. Research foundation from neurodegenerative disease datasets at DZNE Magdeburg, Germany. 🏗️ 𝐀𝐈 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 & 𝐂𝐨𝐧𝐬𝐮𝐥𝐭𝐢𝐧𝐠 End-to-end AI system design for startups & enterprises, from selecting the right stack to production deployment strategy. MSc in Data Science (Otto-von-Guericke University, Germany) & 7+ years building production AI systems across finance, healthcare, retail & cybersecurity. 🌐 𝐓𝐨𝐨𝐥𝐬 & 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 🌐 👾𝐀𝐈 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: LangGraph, LangChain, OpenAI, Claude, Gemini, Groq, Whisper, ElevenLabs, Twilio, Ollama, OpenClaw ֎ 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈: Stable Diffusion, ControlNet, LoRA/DreamBooth Fine-tuning, ComfyUI, DALL-E ☁️ 𝐂𝐥𝐨𝐮𝐝: AWS SageMaker, GCP Vertex AI, Azure, BigQuery, Snowflake, Databricks, S3, Redis 🗄️ 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: PostgreSQL, pgvector, Pinecone, MongoDB, MySQL 🔂 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Apache Airflow, n8n, Make, Zapier, GoHighLevel, Bitrix24, FastAPI, Docker 📊 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬: Power BI, Looker, Tableau, dbt, Dataform, PySpark, Talen, Keboola 👁️ 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧: OpenCV, PyTorch, TensorFlow, YOLO Looking to reduce manual workload, cut operational costs & scale with production-ready AI, not just prototypes? 𝐋𝐞𝐭'𝐬 𝐓𝐚𝐥𝐤 🗪 Describe your use case & I'll outline a production-ready approach within 24 hours. Message me or send an invite to get started. Keywords Automation, n8n, Python, Artificial Intelligence, Machine Learning, Deep Learning, open ai, Next.js AI App Development, AI Agent Development, API Integration, JavaScript, React, SaaS, Node.js, LLM Prompt Engineering, API, Microsoft Azure, anthropic, OAuth

If you're building a SaaS product, launching an MVP, or adding AI features to an existing platform - and you need it done right, fast, and production-ready - keep reading. I'm a full-stack software engineer with 4+ years of experience shipping real products for startups and growing businesses. I've built healthcare platforms, fintech apps, booking systems, and AI-powered tools - from the first line of code to live deployment. What I actually build: → SaaS platforms and MVPs — full product, end-to-end, from database to UI → AI integrations — connect OpenAI, Claude, or any LLM to your product → RAG systems — retrieval-augmented generation so your AI actually knows your data → REST APIs and backend systems — FastAPI, Django, Go, Node.js/NestJS → React/Next.js frontends — clean, fast, scalable interfaces → Third-party integrations — payments, auth, messaging, webhooks, whatever you need Why clients work with me: I don't just write code — I think about your product. When you explain what you're building, I ask the right questions, flag problems early, and deliver something you can actually ship. I've worked across time zones with startups that needed speed and businesses that needed reliability. I can handle both. Tech stack I work with daily: Backend: Python (FastAPI, Django), Go, Node.js (NestJS, Express) Frontend: React, Next.js, TypeScript, Tailwind CSS, Redux AI/LLM: OpenAI API, LangChain, RAG pipelines, vector databases, embeddings Mobile: Flutter (Android + iOS) Databases: PostgreSQL, MongoDB, MySQL, Redis, Firebase DevOps: Docker, GitHub Actions, CI/CD, Vercel Who I work best with: Founders who have a clear problem to solve and need a developer who takes ownership. Product teams that want clean code, clear communication, and zero hand-holding. Businesses that are ready to build something real. If you're launching a product, adding AI to an existing app, or need a reliable full-stack engineer to take something from idea to live - send me a message with what you're building. I'll give you a straight answer on whether I can help and how.

I help companies build AI systems that extract, validate, and route data from PDFs, scans, emails, spreadsheets, and internal knowledge bases into the tools their teams already use. My main focus is AI document processing, OCR, data extraction, and RAG-based automation for real business workflows. This usually means combining OCR, LLMs, retrieval pipelines, validation rules, human review, APIs, and CRM/ERP/database integrations into one reliable process — not just building a standalone AI demo. Together with the Businessware Technologies team, I have worked on medical form OCR, scanned receipt extraction, bank statement parsing, technical document layout extraction, newspaper OCR and segmentation, Azure Document Intelligence customization, RAG agents, AI assistants, and document processing pipelines for legal, healthcare, finance, logistics, and operations teams. A typical project starts with understanding the business process: what documents come in, what data needs to be extracted, where errors happen, who reviews the result, and where the final output should go. From there, we design and build a practical system that fits your data quality, budget, timeline, and risk level. My skills: Data Extraction, OCR Software, Document Analysis, AI Development, Intelligent Document Processing, Document Automation, Retrieval-Augmented Generation, OpenAI API, Python, FastAPI, LangChain, Vector Database, Azure AI Document Intelligence, AWS Textract, API Integration, Workflow Automation, AI Agent Development, Computer Vision, Natural Language Processing, n8n.

I build production AI agents, RAG systems, and workflow automation on the Large Language Models such as Claude, OpenAI, Gemini, Grok APIs. Not demos that die after the pitch meeting: systems with guardrails, human review steps, and escalation logic that run every day without babysitting. Over the past few years I've shipped autonomous AI agents, RAG pipelines, chatbots and conversational AI workflows running live on WhatsApp, Instagram, and Line, plus full AI-native products: web apps, custom CRMs, and analytics dashboards designed around LLMs from day one instead of having AI bolted on later. Everything in TypeScript/Node.js or Python, deployed on GCP and AWS. One recent build: a contract analysis pipeline for the music industry. Specialized agents for Producer, Mixer, Featured Artist, and Publishing deals run under a LangGraph supervisor on Cloud Run. Document review that took hours per deal now takes minutes. Problems clients bring me: - Business process automation: lead capture and qualification, CRM updates, email and document processing, wired together with n8n, custom code, and LLM APIs. Anything that writes to your real data goes through an approval step first. - Customer-facing chatbots and support agents on WhatsApp, Instagram, Line, and web, with real memory, answers grounded in your own knowledge base so they don't invent things, and clean handoff to a human when confidence drops. - AI agents and multi-agent systems for workflows too complex for a single prompt, built on LangGraph and the Claude Agent SDK. - RAG pipelines and semantic search at production scale with Pinecone, PGVector, and ChromaDB. - CRM and ERP integrations: GoHighLevel, Follow Up Boss, Gmail and Google Workspace, third-party APIs. - AI-native SaaS end to end. I built and shipped ReserveNova, an AI booking platform for hospitality. - Document intelligence: contract analysis, invoice and data extraction, real-time LLM-powered dashboards. How I work is simple. I scope the architecture before writing a line of code, get you a working prototype within 48 to 72 hours so you can validate direction early, then build toward production with proper error handling, evaluation, logging, and observability. Everything runs in your accounts, documented well enough that your team can maintain it without me. You own it all at handoff. My background runs deeper than the LLM wave: years of hands-on NLP work with transformers and spaCy before agents became the trend. That's why my pipelines handle messy real-world language instead of breaking on it. Stack: TypeScript/Node.js, Python, React/Next.js, Claude API, OpenAI API, LangGraph, LangChain, LlamaIndex, CrewAI, MCP, Pinecone, PGVector, ChromaDB, n8n, GCP Cloud Run, AWS Lambda, Docker. I keep my project load small so each build gets real attention. If you're building an AI product from scratch, adding agents or RAG to an existing app, or drowning in a document-heavy workflow, send an invite and tell me what you're trying to build. I'll tell you honestly whether it's a fit.

Need a ⭐ 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸 Full Stack SaaS Developer who's shipped products to 🔥 𝟏𝗠+ 𝘂𝘀𝗲𝗿𝘀 𝗮𝗻𝗱 𝗵𝗮𝗻𝗱𝗹𝗲𝗱 𝟓𝟎𝟎𝗞 𝗰𝗼𝗻𝗰𝘂𝗿𝗿𝗲𝗻𝘁 𝗰𝗼𝗻𝗻𝗲𝗰𝘁𝗶𝗼𝗻𝘀? I build SaaS applications, Full Stack web apps, AI SaaS platforms, AI automation systems, and scalable full-stack backends with React, Next.js, Node.js, and Python - fast, production-ready, and built to grow. 📩 Comment “𝐌𝐀𝐏” and I’ll send you a 𝐅𝐑𝐄𝐄 system blueprint with a clear plan of how your product should be built or scaled. Available now - July 9 𝐖𝐡𝐨 𝐈 𝐀𝐦 ⭐⭐⭐⭐⭐𝗜'𝗺 𝗮 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗦𝗮𝗮𝗦 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿, 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿, 𝗮𝗻𝗱 𝗮𝗴𝗲𝗻𝗰𝘆 𝗹𝗲𝗮𝗱 𝗯𝗮𝘀𝗲𝗱 𝗶𝗻 𝗥𝗲𝗱𝗺𝗼𝗻𝗱. What sets me apart is the combination of enterprise-scale delivery (retail, FinTech, healthcare, iGaming) with startup speed - I've reduced manual work by up to 60% for clients through AI-powered workflow automation and have led teams scaling SaaS platforms and full-stack products past one million active users. Here's what I build: 🔹 SaaS Web Apps & Full Stack Development - React, Next.js, TypeScript frontends paired with Node.js or Python backends, Supabase/PostgreSQL, Stripe, and full API integration 🔹 AI SaaS & AI Automation Systems - n8n workflows, OpenAI/Claude integrations, CRM automation, document processing, and lead management pipelines 🔹 Full Stack Backend & APIs - FastAPI, Django, REST, GraphQL, real-time systems, cloud infrastructure (AWS, GCP, Azure), Docker, Kubernetes, CI/CD 🔹 SaaS Dashboards & Internal Tools - analytics platforms, admin panels, logistics dashboards, custom CRM systems 🔹 Data & Integrations - PostgreSQL, MongoDB, Redis, Elasticsearch, Excel-to-CRM sync, webhook pipelines for SaaS applications Retail loyalty platform - 1M+ users, 20% growth Live streaming portal - 500K peak concurrent connections OCR document automation - 66% faster processing Lead automation system - 43% faster response time AI internal workflow platform - 45% faster operations Certified: Generative AI with OpenAI API (DeepLearning.AI) | Full-Stack AI Automation Engineering | Full Stack SaaS Development Send me a message describing your SaaS, AI, or Full Stack project and I'll respond within a few hours. I'm available now and happy to share a free system blueprint outlining how your SaaS application, Full Stack product, or AI platform should be built or scaled.