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Welcome

I am a software engineer consultant. While I work in data engineering and AI development projects, you'll be able to find here some of my passion projects I've worked on, or currently am working on.

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Projects

Have a peek,

these projects stem from learning experiences to actual development.

AtmoLLM is a fork of AirLLM by Gavin Li. It optimizes inference memory usage, allowing 70B large language models to run inference on a single 4GB GPU card without quantization, distillation and pruning. And you can run 405B Llama3.1 on 8GB vram now.

A college project highlighting different algorithms to solve systems of linear eqautions in matrix algebra form.

An ML nose-dive investigation of Enron Application of enhanced and fine-tuned search machine learning classifier algorithms. The process also involves primary component analysis, stratified data shuffling, grid-searching, and score-based model selection to ensure thorough and accurate analysis.

Statistical testing optimization Using Python modules to quickly sort through a large set of gene data and find most influential genes used to set apart two very similar types of Leukemia.

College project in which a Support Vector machine algorithm is dissected and written from scratch for flower identification.

About Me.

I hold a bachelor's degree in mathematics and have years of hands‑on experience in data engineering, analytics, and systems design. I build clean, reliable data pipelines, design robust models, and turn complex requirements into measurable outcomes.

I'm particularly interested in AI safety and alignment—building systems that are not just powerful, but trustworthy. I bring a systems‑thinking approach to everything I do, whether it's optimizing ETL workflows, collaborating with product and GTM teams, or diving into ambiguous problems to create clarity.

I believe in bias for action, full‑stack ownership, and letting data drive decisions without letting perfection get in the way.

I'm currently exploring opportunities where I can help build helpful, honest, and harmless AI systems—and contribute to a culture of technical excellence and shared purpose.

Let's connect.

Education

2019-2021

B.S Mathematics
University of Central Florida

The University of Central Florida's undergraduate mathematics program builds strong analytical and problem‑solving skills through a flexible, interdisciplinary curriculum. Students can choose from specialized tracks and graduate prepared for careers in data, analytics, tech, or advanced study.

2012-2015

A.A. Biomedical Engineering
Florida International University

FIU's undergraduate Biomedical Engineering program combines engineering, science, and medicine to design solutions for healthcare challenges. The ABET-accredited curriculum covers core areas like tissue engineering, biomaterials, and biosignals, and offers concentrations and a senior design capstone to prepare students for careers as engineers, researchers, or physicians

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