Saad R

@mrsaadrehman

Agentic AI and LLM automation engineer

Pakistan
Englisch, Urdu, Hindi
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
Full-stack web & app developer who also builds AI systems that actually ship. From e-commerce platforms and booking apps to agentic AI & RAG pipelines — I've shipped multi-agent systems serving 50K+ daily users, RAG chatbots with 92% satisfaction, and LLM pipelines cutting API costs by 40%. Stack: Next.js, TypeScript, Supabase, React Native, Python, LangChain, LlamaIndex, FastAPI, Docker. Not demos. Production systems. Let's talk.... Mehr lesen

Kompetenzen

m
mrsaadrehman
Saad R
offline • 

Meine Dienstleistungen

Natural Language Processing
I will build nlp models, chatbots, and text analysis systems using python
Ab100 $ / ProjektWeitere Details
KI-Websites & -Software
I will develop ai web and saas applications,full stack ai websites with chatbots
Ab20 $ / ProjektWeitere Details

Portfolio

Arbeitserfahrung

Upwork

Upwork

Freiberufler • 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

Develomark

Machine Learning Engineer | AI & NLP Specialist

Develomark • Selbstständig

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