Headline: AI & Full-Stack Engineer | Custom LLM, RAG & SaaS Solutions
About My Service:
Most businesses know they need AI, but struggle to move past the basic chatbot phase into real, deployed products. I specialize in bridging that gap.
As a Machine Learning Engineer with strong full-stack capabilities, I build, fine-tune, and deploy custom Large Language Model (LLM) applications that solve actual business problems. Whether you need a secure internal tool, automated data extraction, or the foundation for a new AI SaaS, I handle the complete pipeline—from the data layer to the user interface.
What I Deliver:
Retrieval-Augmented Generation (RAG): Building intelligent systems that can accurately query and summarize your proprietary documents and databases without hallucinating.
Custom Model Fine-Tuning: Tailoring open-weight LLMs to understand your specific industry domain, tone, and strict regulatory requirements.
Secure Local Deployment: Implementing models locally using Ollama and containerizing the entire stack with Docker to guarantee absolute data privacy for enterprise clients.
End-to-End SaaS MVPs: Wrapping complex machine learning workflows into robust, scalable backends and connecting them to clean, interactive frontends.
The Tech Stack I Bring to Your Project:
AI / Machine Learning: LLMs, Prompt Engineering, Hugging Face, LangChain, Ollama
Backend Engineering: Python, FastAPI, Node.js, SQL
Frontend Development: React.js
Infrastructure: Docker, Codespaces, CI/CD pipelines
I do not just write fragmented scripts; I build deployable, production-ready products. Because Jobbers.io operates commission-free, the budget goes entirely toward high-quality engineering rather than platform fees.