
Faraz Ali
AI Automation Expert, n8n Workflows, AI Agents, LLM, RAG, Chatbot, Claude
Compétences

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Portfolio
Expérience professionnelle
Self Employed
Temps plein âą 3 yrs 2 mos
Full-Stack AI Automation Engineer
May 2025 - Apr 2026 âą 11 mos
Providing end-to-end AI automation solutions to startups, SaaS companies, e-commerce brands, healthcare platforms, and enterprise clients across the US, UK, Canada, and MENA region. Core work includes: â Designing and deploying n8n, Make, and Zapier automation workflows â Building AI agents and multi-agent systems using LangChain, LangGraph, and CrewAI â Developing RAG pipelines with Pinecone, Weaviate, Chroma, and FAISS â Creating AI chatbots and voice agents powered by GPT-4o, Claude, and Gemini â Integrating CRM systems including HubSpot, GoHighLevel, and Salesforce â Delivering ML pipelines, predictive analytics, and AI-powered dashboards Tech Stack: Python, FastAPI, LangChain, LangGraph, n8n, GPT-4o, Claude, Pinecone, PostgreSQL, Docker, and 50+ API integrations.
AI Engineer, Chatbot & Machine Learning Specialist
Aug 2022 - Nov 2024 âą 2 yrs 3 mos
Worked with 50+ global clients on Upwork delivering production-grade AI solutions across chatbot development, machine learning systems, and full-stack AI applications. Core Expertise: AI Chatbot Development: â Built intelligent chatbots for WhatsApp, Telegram, Slack, and Web using GPT-4o, Claude, and Gemini â Designed multi-turn conversation flows with memory, context awareness, and human escalation logic â Deployed voice AI agents with real-time ASR/TTS for customer support automation Machine Learning & Data Science: â Developed end-to-end ML pipelines for classification, regression, forecasting, and anomaly detection â Trained and fine-tuned models using PyTorch, TensorFlow, and Scikit-learn for production deployment â Built NLP systems for sentiment analysis, entity recognition, and document intelligence â Delivered predictive analytics dashboards for e-commerce, fintech, and healthcare clients Full-Stack AI Development: â Architected RAG pipelines using LangChain, LlamaIndex, Pinecone, and Weaviate for enterprise knowledge bases â Built and deployed FastAPI backends powering AI-driven applications â Integrated ML models into live production environments with MLOps monitoring and retraining pipelines Industries Served: SaaS, E-commerce, Healthcare, Fintech, Real Estate, Marketing Agencies, Legal & HR Platforms. Tech Stack: Python, PyTorch, TensorFlow, Scikit-learn, LangChain, GPT-4o, Claude, Pinecone, FastAPI, PostgreSQL, Docker.