Saad R
Agentic AI and LLM automation engineer
Skills
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Portfolio
Werkervaring
Upwork
Freelance • 4 yrs 11 mos
Full Stack Web Developer
Feb 2024 - Present • 2 yrs 5 mos
Working as a freelance Full-Stack Web Developer and AI Engineer, building production-grade applications for clients using Next.js, TypeScript, Supabase, and FastAPI. Projects include e-commerce platforms with POS and inventory systems, service-booking platforms with admin dashboards and payment processing (Stripe), and AI-powered tools using LangGraph and GPT-4o for automation and data analysis. Comfortable owning a project from initial requirements through deployment, with a strong focus on writing maintainable code and shipping features clients can rely on day-to-day.
AI Engineer & Automation Specialist
Jan 2024 - Present • 2 yrs 6 mos
Built and deployed production-ready AI systems for clients across multiple industries. Specialized in agentic AI architectures, LLM-powered automation, and RAG-based knowledge systems. Key projects delivered: - 6-agent autonomous job application system — analyzes job postings, tailors resumes, generates cover letters, and drafts emails using Gemini API, FAISS memory, FastAPI backend, and Streamlit UI - RAG-powered document chatbot serving 10K+ daily queries with 92% user satisfaction using LangChain and Pinecone - Multi-agent workflow automation reducing client manual processing time by 70% across enterprise workflows - LLM prompt optimization pipeline cutting API costs by 40% while maintaining output quality across production models - Document intelligence system extracting structured data from 1000+ PDFs and contracts daily using Python and FastAPI Tech stack: Python, LangChain, LlamaIndex, FastAPI, OpenAI GPT-4, Anthropic Claude, Google Gemini, FAISS, Pinecone, Chroma, Streamlit, Docker, AWS, PostgreSQL, Redis
Machine Learning Engineer | AI & NLP Specialist
Develomark • ZZP
May 2023 - Present • 3 yrs 2 mos
Worked as a self-employed Machine Learning Engineer providing AI-driven solutions through project-based and freelance work. Built and delivered machine learning, NLP, and deep learning solutions tailored to real-world business needs. Key responsibilities and achievements include: Developed end-to-end machine learning models for prediction, classification, and data analysis Built NLP pipelines for text classification, sentiment analysis, and information extraction Implemented deep learning models using PyTorch and transformer-based architectures Designed and tested LLM-based solutions such as chatbots and document Q&A systems Performed data preprocessing, feature engineering, and model evaluation Delivered clean, well-documented, and reusable code with clear explanations