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Most clients come to me with the same problem: they've either outgrown their current dev, got burned by someone who disappeared mid-project, or need something built fast without babysitting every decision. I build full-stack web products and AI-powered systems end-to-end, solely leading development and deployment With strong foundations in Javascript, I specialize in below technologies. Nextjs * Reactjs * Nodejs * Expressjs * MongoDB * SQL * Typescript * Tailwind * Bootstrap * Redux Toolkit * Git * Github * Docker * API integration * Unit Testing * AWS * Firebase * Supabase * FastAPI * LangGraph * LangChain * Qdrant * Mem0 * RAG Pipelines * Gemini * OpenAI Here are quick notes about me : - Integrated AI moderation, embeddings, and agentic workflows into full-stack products - Built SaaS platforms, dashboards, landing pages, and enterprise tools - Worked with a US-based startup, 2 Indian startups, 1 Tunisian Stealth startup, a Nigerian startup and a few local companies - Built production RAG systems with hybrid vector search, LLM orchestration, and multi-tier memory pipelines - Developed financial, trading, and credit-score platforms - Built donation platforms for non-profits using secure, future-proof tech - Implemented role-based auth, payments (Stripe & PayPal), and real-time features - Strong experience with databases, schema design, and API optimization - Built CSV upload, PDF generation, and data parsing systems - Clear, reliable communication — clients always know project status - Someone who delivers practical solutions, not over-engineered ones My clients love the work I do :- From a Software Engineer at Golootlo :- "I hired Hamza as a React.js developer for a restaurant app, where he built a robust dashboard. His skills in both frontend and backend make him a strong fit for any full-stack developer role. Highly recommended!" Louis Casas (CEO at Market Terminal) :- "Hamza is great" Sufyan (Agentic Engr at stealth) :- "Hired Hamza as a freelancer for a CRM project for my tax consultancy. He developed the CRM as it was in the design - the professionalism and quality of work was impressive. Will definitely hire him again for my next project."

I build production-grade web applications and agentic AI systems. Not demos, not wrappers. Real systems built for real users. Recent work includes multi-agent orchestration pipelines, RAG systems with semantic search, AI document processors using the Anthropic and OpenAI APIs, subagent workflows with LangChain and LangGraph, and full-stack SaaS products with AI at the core. I use Claude Code and Cowork as active parts of my development process, which means faster delivery and tighter quality control on every build. On the full-stack side: banking apps with Plaid and Dwolla, Shopify headless storefronts, and enterprise platforms for clients at Google and CVS Health. Stack: TypeScript, React, Next.js, Node.js, NestJS, PostgreSQL, MongoDB, Supabase, LangChain, LangGraph, Anthropic API, OpenAI, Stripe, Auth.js, Tailwind CSS, AWS. If you need something built right by someone who takes ownership of the outcome, let's talk.

Transform Your Business with Custom AI Solutions & Advanced ML Engineering ✅ 5+ Years Full Stack Development + 4+ Years ML Engineering Experience ✅ Custom AI Model Development | AI Integration Specialist | Production ML Systems ✅ RAG Systems | MCP Servers | LLM Fine-tuning | Computer Vision | NLP ✅ Multiple Successful AI Projects Delivered | Enterprise Solutions Welcome ✅ Available Full-Time (40+ hrs/week) | End-to-End AI Development I'm Zahid Iqbal, a seasoned AI Solutions Engineer who combines deep machine learning expertise with full-stack development skills to deliver production-ready AI solutions. From custom ML model development to seamless AI integration, I help businesses harness AI technology to drive measurable results and competitive advantage. Custom Machine Learning & AI Development Custom ML Model Development: - End-to-end machine learning pipeline design and implementation - Computer vision systems for object detection, image classification, and quality control - Natural language processing models for text analysis, sentiment detection, and entity recognition - Time-series forecasting and predictive analytics models - Custom neural networks using PyTorch, TensorFlow, and scikit-learn AI Integration & Enhancement: - Seamless integration of existing AI services (OpenAI, Anthropic, Hugging Face) into software applications - Custom AI workflows combining multiple ML models and AI services - Legacy system modernization with intelligent automation capabilities - Real-time AI inference systems with optimized performance MLOps & Production Deployment: - Model training, validation, and deployment pipelines - Docker containerization and cloud deployment (AWS, GCP) - Model monitoring, versioning, and automated retraining - FastAPI and Flask-based ML serving infrastructure Advanced AI Integration Services RAG Systems & Knowledge Management: - Custom RAG implementations with vector databases (Pinecone, Chroma, FAISS) - Document processing and intelligent search systems - Multi-modal RAG systems (text, images, PDFs) - Knowledge base integration with real-time updates LLM Integration & Fine-tuning: - OpenAI API, Claude API, Anthropic integrations - Custom LLM fine-tuning for domain-specific tasks - Prompt engineering and optimization - LangChain, LangGraph, and LlamaIndex implementations AI Chatbots & Voice Agents: - Intelligent customer support chatbots - Lead generation and qualification bots - Voice-enabled AI assistants with ASR/TTS - Multi-channel deployment (web, WhatsApp, Slack, Teams) MCP (Model Context Protocol) Servers: - Custom MCP server development - Tool integration for Claude and other AI models - API connectivity and data source integration - Secure context management systems Full Stack Development Services Frontend Development: - React.js, Next.js, TypeScript applications - Redux state management - Responsive UI/UX design - Real-time chat interfaces and dashboards Backend Development: - Go (Gin, Beego framework) and Python (Flask, FastAPI) APIs - RESTful API design and GraphQL endpoints - Microservices architecture - Database design and optimization Cloud & DevOps: - AWS deployment and infrastructure management - Docker containerization and Kubernetes orchestration - CI/CD pipeline setup and automation - Performance monitoring and scaling Technical Expertise Programming Languages: Go (Golang), Python, JavaScript, TypeScript SQL, Bash scripting AI/ML Frameworks & Tools: LangChain, LangGraph, LlamaIndex OpenAI API, Anthropic Claude API Hugging Face Transformers Vector databases (Pinecone, Chroma, FAISS, Qdrant) MCP (Model Context Protocol) Frontend Technologies: React.js, Next.js, Redux HTML5, CSS3, Tailwind CSS WebSocket for real-time features Backend & APIs: Beego (Go), Flask, FastAPI RESTful APIs, GraphQL Microservices architecture API security and authentication Databases: PostgreSQL, MySQL, MongoDB Redis for caching ElasticSearch for search functionality Vector databases for AI applications Cloud & Infrastructure: AWS (EC2, S3, Lambda, RDS) Docker, Kubernetes CI/CD with GitHub Actions Load balancing and auto-scaling Why Choose Me? ✅ Comprehensive AI Expertise: From custom ML model development to advanced AI integration ✅ Production-Ready Solutions: Scalable, well-documented systems built for enterprise deployment ✅ Business Impact Focus: AI solutions designed to deliver measurable ROI and competitive advantage ✅ End-to-End Delivery: Handle complete project lifecycle from research to production deployment ✅ Rapid Development: Proven track record of delivering complex AI projects on time and within budget ✅ 24/7 Communication: 12-hour response guarantee with regular project updates and transparent progress tracking Recent Client Results Custom computer vision system: 98.5% defect detection accuracy, 45% cost reduction in quality control AI-powered customer support: 80% automation rate, 60% reduction in support costs Document processing automation: 8 hours to 15 min

Top Rated · 100% Job Success · $14K+ earned on Upwork. I build AI systems that survive real users, not just demos. Most AI projects die somewhere between the prototype and production. The agent works in a notebook, then falls apart on real data, real latency, and real edge cases. My work is the boring part that makes AI actually ship: integration with your existing systems, retrieval that doesn't hallucinate, and evaluation that proves the thing works before your customers find out it doesn't. Recent results: Built a production pricing agent that monitors 6,000+ products and reprices against competitors in real time Designed a RAG system that lets non-technical users query BigQuery in plain English, with grounded and source-cited answers Fine-tuned RoBERTa for buying-intent detection and raised accuracy from 92% to 97% in a live agent pipeline Currently building enterprise search, product discovery chatbots, and multi-agent systems on an enterprise RAG platform, including batch evaluation across competing agent architectures What I build: AI Integration. Connecting LLMs and agents into your actual stack: CRMs, databases (BigQuery, Supabase), internal tools, and workflows. I use n8n where it fits and custom Python where it doesn't. RAG and knowledge chatbots. Hybrid search, reranking, metadata filtering, hallucination mitigation, and proper evaluation. Built for accuracy on your documents, not generic answers. Production AI agents. Multi-agent orchestration with LangGraph, LangChain, and Google's ADK, with guardrails and human review steps where the stakes require it. How I work: I will tell you honestly when something is over-engineered, when a simple workflow beats an agent, and what the failure modes are before we build anything. I scope in phases so you see working software early instead of waiting months for a big reveal. Ten years in engineering, GCP-certified ML background (Vertex AI, GKE), and full-stack skills when needed (Next.js, TypeScript). I also have supporting depth in computer vision (YOLOv11 pipelines at roughly 90% precision) and MLOps. Best fit: teams that need their AI to be reliable. E-commerce, SaaS, and any business where a wrong answer costs money. Message me with what you're trying to automate or build and I'll give you a straight read on the right approach.

I build production ready AI solutions that deliver measurable business impact. As an 𝗔𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 specializing in 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗮𝗻𝗱 𝗟𝗟𝗠 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀, With 𝟲+ 𝐲𝐞𝐚𝐫𝐬 building production-ready AI agents,I help businesses automate workflows, reduce costs, and unlock new revenue streams through intelligent systems and a track record of 𝟗𝟓%+ 𝐜𝐥𝐢𝐞𝐧𝐭 𝐬𝐚𝐭𝐢𝐬𝐟𝐚𝐜𝐭𝐢𝐨𝐧. 𝗪𝗛𝗔𝗧 𝗜 𝗗𝗘𝗟𝗜𝗩𝗘𝗥: ✦𝗔𝗜 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆 & 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗶𝗻𝗴: I analyze your business challenges and identify high-impact AI use cases that align with your goals. No unnecessary complexity just practical solutions. ✦𝗟𝗟𝗠 & 𝗚𝗲𝗻𝗔𝗜 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀: I build custom AI applications using OpenAI, Claude, Gemini, and open source models. Whether you need a chatbot, document processor, or intelligent agent, I deliver production-ready systems. ✦𝗥𝗔𝗚 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 & 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗕𝗮𝘀𝗲𝘀: I design and deploy Retrieval Augmented Generation (RAG) pipelines that let your AI access your private data. This means more accurate, contextual responses tailored to your business. ✦𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: I create intelligent agents that automate complex workflows—from data processing to customer support. Using frameworks like LangChain and LangGraph, Crewi AI, AutoGen I build systems that work reliably at scale. ✦𝗘𝗻𝗱-𝘁𝗼-𝗘𝗻𝗱 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: I don't just build prototypes. I deploy your AI system to production with proper monitoring, error handling, and scalability. Cloud deployment on AWS, GCP, or Azure included. 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲 ✦Full End-to-End Engineering From backend logic → AI core → API integration → deployment. I deliver production-ready systems, not prototypes. 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝗶𝗻 𝘁𝗵𝗲 𝗠𝗼𝗱𝗲𝗿𝗻 𝗔𝗜 𝗦𝘁𝗮𝗰𝗸 ✦LLMs: OpenAI GPT, Claude, Llama, Gemini,GLM,Manus ai,Grok,OpenClaw ✦RAG: LangChain, LlamaIndex, Pinecone,Chromadb,Supabase. ✦Agents: Multi-step, tool-using, autonomous frameworks ✦Automation: Make , n8n, Python,Zaiper ✦Full Stack: Django, Flask, React, Node.js ✦DevOps: AWS, Docker, CI/CD 𝗣𝗥𝗢𝗩𝗘𝗡 𝗢𝗨𝗧𝗖𝗢𝗠𝗘𝗦: ✦Reduced manual document processing time from days to hours using AI agents ✦Built AI chatbots that handle 80% of customer inquiries automatically ✦Deployed LLM systems that improved data accessibility for 500+ users ✦Created revenue-generating AI trading systems with advanced analytics 𝗪𝗛𝗬 𝗪𝗢𝗥𝗞 𝗪𝗜𝗧𝗛 𝗠𝗘: I focus on YOUR business goals, not just technical complexity. I communicate clearly, iterate quickly based on feedback, and ensure every solution is secure, scalable, and maintainable. Whether you need strategic guidance or hands-on development, I'm here to help. Ready to transform your business with AI? Let's discuss your project.

LLM Engineer & Full-Stack Dev for RAG chatbots, AI agents, and SaaS MVPs. 10+ yrs, 50+ builds. Python/FastAPI, React/Next.js, AWS. OpenAI, LangChain, Pinecone. Ship fast, prod-ready, ROI-focused. 𝐖𝐡𝐚𝐭 𝐈 𝐛𝐮𝐢𝐥𝐝 ✔Custom AI SaaS: Full-stack products combining LLMs, vector search, data pipelines, and modern UIs ✔Chatbots & AI Agents: Context-aware assistants with tools, memory, and action chaining (OpenAI, LangChain) ✔RAG Systems: Private, secure retrieval over PDFs, Notion, CRMs (Pinecone/FAISS) ✔Voice Interfaces: Phone/voice bots (Whisper, Twilio) for real-time transcription & automation ✔Computer Vision: OCR, image classification, detection pipelines (YOLO, OpenCV) ✔Automation: ETL, web scraping, n8n/Make/Zapier to remove manual work 𝐎𝐮𝐭𝐜𝐨𝐦𝐞𝐬 𝐈 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐚𝐜𝐡𝐢𝐞𝐯𝐞 Turn ideas into working AI products fast (MVPs in weeks, not months) Production-grade backends and APIs with reliability, observability, and security baked in Lower support load with smart bots; speed up operations with automated agents Clear delivery: scoped milestones, demoable increments, and documentation 𝐓𝐞𝐜𝐡 𝐈 𝐮𝐬𝐞 (𝐬𝐡𝐨𝐫𝐭 𝐥𝐢𝐬𝐭) ✔AI/ML: OpenAI API, LangChain, Transformers, RAG, Pinecone/FAISS, Whisper ✔Backend: Python, FastAPI, Flask, Node.js, GraphQL/REST, Webhooks, OAuth2/JWT ✔Frontend: React, Next.js, Tailwind ✔Cloud/DevOps: AWS (EC2/S3/Lambda), Docker, CI/CD ✔Data: PostgreSQL, MongoDB, vector DBs 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 Finance · Healthcare · E-commerce · SaaS · Legal/HR · Security · Real Estate 𝐖𝐡𝐲 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐡𝐢𝐫𝐞 𝐦𝐞 One-stop AI + full-stack execution Business-first thinking with deep technical chops Built to scale and easy to maintain Responsive, proactive communication Proven experience across 50+ successful projects 𝐏𝐫𝐨𝐜𝐞𝐬𝐬 (𝐡𝐨𝐰 𝐰𝐞’𝐥𝐥 𝐰𝐨𝐫𝐤) Quick discovery call + success criteria Architecture & milestone plan Build → demo → iterate Deploy, docs, handoff, and post-launch support 𝐋𝐞𝐭’𝐬 𝐛𝐮𝐢𝐥𝐝 Send a short note with your goal, sample data (if any), and deadline. I’ll reply with a mini-plan and a clear proposal (fixed-price or hourly). Time zone: Asia/Karachi (GMT+5).