Machine learning engineer and data scientist, now an MSBA candidate at UCLA Anderson ('27) in Los Angeles, headed for AI product management, product-focused data science, and forward deployed engineering.
Over the last three years I shipped production systems across HR technology, consulting, and consumer industries. Most recently I led development of Crehana's AI copilot and agentic platform (LangChain and LangGraph agents, RAG over a 1.2M+ vector corpus in Qdrant), used by 1300+ organizations and 48K+ users across Latin America. As a data scientist I built real-time fraud detection across a network of financial institutions, combinatorial optimization for contract allocation, computer vision for document intake, and retail sales forecasting.
That work is proprietary, so the case studies live on my portfolio:
→ joaquinramirez.dev · LinkedIn
Public here: GENIE, my undergraduate thesis on LoRA fine-tuning Falcon-7B for a Spanish-language university-regulations chatbot, and safe docs, a college platform where opening a shared document requires a live face check.
The rest are things I built to understand how they work, not to ship: a MIPS processor in Verilog assembled from CMOS gates up to a multicycle datapath, a CPU ray tracer written without a graphics API, and a graph library whose shortest-path algorithms route over a real airport network.


