Professional Experience

Work & Skills

My professional journey in data science, machine learning, and web development. Building things that make data science more accessible.

Technical Skills

Machine Learning & AI

Python
PyTorch
TensorFlow
Scikit-learn
LangChain
OpenAI API
RAG Systems
Vector Databases
Hugging Face

Data Science & Analytics

Pandas
NumPy
SQL
PostgreSQL
Supabase
Data Visualization
Statistical Modeling
A/B Testing

Web Development

TypeScript
React
Next.js
Tailwind CSS
Node.js
FastAPI
REST APIs
GraphQL

Tools & Infrastructure

Git
Docker
Linux (Arch btw)
Neovim
Vercel
AWS
CI/CD
Rust

Work Experience

Sizzle

Generative AI Engineer
June 2024 - Present
Actualizing the full pipeline for data processing, model training, and deployment of nutritional factors and macro nutrients for any given recipe.
  • Integrated AI solutions into Google Cloud services using VertexAI to streamline operations.
  • Improved data analysis capabilities from custom REST API endpoints, resulting in an easily scalable solution.

Upwork, Fiverr

AI/ML Freelancer
August 2022 - Present
Developing and deploying custom AI/ML models for various clients.
  • Improved business processes and outcomes using both open-source and paid LLMs, resulting in an average efficiency increase of 25%.
  • Engineered end-to-end MLOps solutions, including CI/CD pipelines, model monitoring, and infrastructure automation, attaining a 98% customer satisfaction rate.
  • Collaborated with cross-functional teams to integrate AI solutions into existing systems, enhancing overall efficiency and functionality, reducing operational costs by up to 20%.

Joint Genome Institute

Bio-Informatics Data Analyst
May 2020 - August 2021
Utilized R with a cross-functional team of researchers to construct workflows for genetic homology comparison.
  • Slashed processing time by 90%.
  • Constructed a model based on plant species datasets for microbial interactions, achieving 98% accuracy.
  • Created and optimized genome reference pipelines, decreasing processing time from 4 hours to 10 minutes.
  • Showcased and presented technologies to over 1000 end clients and senior leadership members in yearly user meeting.

Vice Lab

Research Scientist
January 2020 - May 2021
Devised and performed Bash scripts to run hydro-power models on a proprietary supercomputer.
  • Achieved a 50% reduction in processing time through asynchronous execution deployed with Slurm.
  • Drove creation of a data visualization web application for hydro power models operated with Vue.js, increasing user engagement by 25% and improving data interpretation.
  • Optimized model implementation and resolved bottlenecks using Cython, further cutting down execution time by 20%.

My Approach

I particularly enjoy creating solutions that make data science problems into open-source, user-friendly applications. Too much of this field is locked behind academic papers and complex tooling - I want to change that.

My philosophy: Start simple, measure constantly, iterate based on real-world performance. Whether it's building RAG systems, data pipelines, or web applications, I focus on practical solutions that actually help people.

I'm a big fan of Richard Feynman's style of explaining complex topics in the simplest form - it's the best way to truly understand something. If you can't explain it simply, you don't understand it well enough.

Current Focus

RAG Systems

Exploring different use cases for retrieval-augmented generation and making them more marketable. Basically trying to get paid for doing cool stuff.

Open Source

Contributing to open-source projects and building tools that make data science more accessible. FOSS is how the internet should work.

Want to work together?

Download my resume or schedule a call to discuss your project. I'm always interested in challenging problems and opportunities to build things that matter.

Let's Create Something Amazing Together

Whether you have a project in mind or just want to chat, I'm always open to discussing new opportunities and ideas.