Open to opportunities

Francisco Ramírez

@franciscoramrez

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Undergraduate AI-focused software developer specializing in LLMs and RAG.

United States

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What I'm looking for

I seek an AI/ML role building LLM-powered systems or RAG pipelines, valuing hands-on engineering, collaborative research, and opportunities to deploy performant, privacy-preserving inference solutions.

I am an undergraduate computer scientist concentrating in Artificial Intelligence, focused on building practical LLM-powered systems and decentralized inference solutions. I blend hands-on engineering with research experience to evaluate and improve large language model capabilities.

My work spans local AI-inference applications, web-based AI assistants, and fine-tuning LLMs for symbolic spatial reasoning. I have implemented CUDA-accelerated inference, integrated Vertex AI and LangChain for RAG, and produced a validated dataset and neuro-symbolic pipeline translating natural language into ASP logic.

I collaborate effectively in research teams, document experimental findings, and deliver production-ready artifacts that prioritize offline capability, performance, and secure user experiences. I seek opportunities to apply my LLM, systems, and full-stack skills to real-world AI products.

Experience

Work history, roles, and key accomplishments

Undergraduate Research Assistant

University of Nebraska-Omaha

Jan 2024 - May 2025 (1 year 4 months)

Assisted benchmarking and evaluation of large language models for text parsing, reasoning, and knowledge tasks; designed experiments and compiled results into a pending report to improve model accuracy and evaluation methodology.

Python TensorFlow Hugging Face LLM Evaluation Experiment Design Data Analysis Documentation

Machine Learning Researcher

Personal Projects

Fine-tuned open-source LLMs with LoRA to translate spatial narratives into Answer Set Programming, curated a 300-sample dataset from StepGame, and validated outputs with Clingo to demonstrate neuro-symbolic reasoning pipelines.

Python PEFT LoRA Keras TensorFlow

AI Software Developer

Personal Projects

Developed local and web-based AI inference applications including a decentralized LLM desktop app and a Vertex AI + LangChain web assistant, optimizing inference with CUDA and enabling offline RAG pipelines.

C Python React LangChain Vertex AI CUDA Docker Firebase

Education

Degrees, certifications, and relevant coursework

University of Nebraska Omaha

Bachelor of Science, Computer Science (Artificial Intelligence concentration)

2021 -

Pursuing a Bachelor of Science in Computer Science with a concentration in Artificial Intelligence, completing coursework in data structures, software engineering, machine learning, AI, data analytics, and database management systems.