Hassan M.

An AI demo can look great until real users start using it. Then things like wrong answers, slow responses, high costs, data issues, and scaling problems start to matter. Some systems I have worked on handle 1M+ monthly requests. A good AI system needs more than an LLM. It needs the right data, RAG, AI agents, APIs, databases, integrations, security, and a backend that can handle real traffic. This covers LLMs, GenAI, NLP, automation, AI SaaS, vector search, and cloud deployment. Backed by 7+ years of experience building AI and software products for businesses across different industries. ━━━━━━━━━━━━━━━━━━━━ WHAT YOU WILL GET: → AI AGENTS AND AI AUTOMATION • AI agents that connect to your tools, APIs, CRMs, databases, calendars, emails, Slack, dashboards and internal workflows • Automations for lead qualification, customer support, reporting, document processing, research, operations and decision support • Agentic workflows using LangChain, LangGraph, tool/function calling, structured outputs, memory, human approval and guardrails → LLM CHATBOTS, RAG AND KNOWLEDGE SYSTEMS • Custom chatbots and assistants trained on documents, websites, SOPs, support tickets, PDFs, databases or knowledge bases • RAG pipelines with embeddings, semantic search, reranking, citations, metadata filters, access control and answer quality checks • Vector database integration with Pinecone, FAISS, Chroma, pgvector, Weaviate or Azure AI Search → AI POWERED SaaS AND FULL STACK PRODUCTS • Complete AI products using Python, FastAPI, Node.js, React, Next.js, TypeScript, PostgreSQL, MongoDB, Redis,and cloud services • Multi-tenant dashboards, subscription flows, admin panels, user roles, analytics, usage tracking and secure API layers • AI features integrated into existing SaaS platforms without breaking your current workflow → ML, NLP AND DATA DRIVEN SYSTEMS • NLP pipelines for classification, extraction, summarization, sentiment analysis, transcription, translation and text intelligence • ML workflows from data preparation to model training, evaluation, deployment, inference APIs and monitoring • Real time AI systems using WebSockets, streaming APIs, Whisper/STT, LLM APIs and event driven backends → PRODUCTION DEPLOYMENT AND AI ARCHITECTURE • Cloud deployment on AWS, GCP, Azure, DigitalOcean, Docker, CI/CD, serverless and containerized backends • Logging, error handling, rate limits, retries, cost optimization, prompt/version control and observability • Practical architecture decisions so your AI system is maintainable, scalable and cost effective ━━━━━━━━━━━━━━━━━━━━ REAL PRODUCT EXPEIENCE • Built production AI/backend systems handling 1M+ monthly requests with scalable APIs, cloud deployment and monitoring • Worked on real time AI transcription and translation workflows using FastAPI, WebSockets, Whisper/STT, LLMs and AWS • Built AI assisted hiring and matching workflows that reduced manual screening and improved candidate job matching • Developed marketplace, healthcare and SaaS platforms with RBAC, secure APIs, dashboards, automation and data heavy workflows ━━━━━━━━━━━━━━━━━━━━ WHY CLIENTS WORK WITH ME I think in business outcomes, not just tools I own backend, AI, data, frontend, and deployment in one place I build systems that survive real users, edge cases, and scale I communicate clearly with updates, screenshots, videos, and next steps I focus on reliable delivery, not AI hype ━━━━━━━━━━━━━━━━━━━━ TECH STACK AI/LLMs: OpenAI, Claude, Gemini, LLama, Mistral, Hugging Face, LangChain, LangGraph, LlamaIndex, CrewAI, Mastra, prompt engineering, AI agents, RAG, embeddings Vector Search: Pinecone, FAISS, Chroma, pgvector, Weaviate, Azure AI Search, semantic search, reranking Backend: Python, FastAPI, Django, Flask, Node.js, NestJS, Express.js, REST APIs, GraphQL, WebSockets, microservices Frontend: React, Next.js, TypeScript, JavaScript, Tailwind CSS, dashboards, SaaS interfaces Database: PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch Cloud/DevOps: AWS, GCP, Azure, Docker, Kubernetes, GitHub Actions, CI/CD, monitoring, logging ━━━━━━━━━━━━━━━━━━━━ LET'S BUILD AI SOLUTION AI chatbot, RAG system, AI agent, automation workflo/w, AI SaaS product, LLM integration, NLP pipeline, or production AI backend, send me a message I will help you map best approach, identify risks early and build a system that deliver real business value