ARGO

Code • Data

I'm a team player who thrives on solving challenging problems and clearly communicating actionable solutions. I actively seek opportunities to learn new skills and apply them both independently and collaboratively. My passion for problem solving goes beyond coding and extends into hobbies like rock climbing where every climb presents a unique puzzle to learn from.

Traffic Sign Detection

Multi-Class CNN and Grad-CAM Visualization

GitHub

Credit Card Delinquency

AdaBoost Classifier and GridSearchCV

GitHub

Subreddit Classifier

Reddit API, NLP, and Classification Modeling

GitHub

Hotdog or Not Hotdog

Mini-Hackathon, CNN with VGG19 Transfer Learning

GitHub

Crypto Chatbot

Web Scraping with Selenium, Gradio, GPT Wrapper

GitHub

Work History

Data Engineer

Libre November 2024 – Present
  • Designed, built, and maintained scalable data pipelines using Python and SQL to support analytics and product teams
  • Developed and managed automated ETL workflows for batch and streaming data ingestion
  • Deployed data infrastructure and workflows using AWS services such as Lambda, S3, Glue, and Redshift
  • Monitored pipeline performance and optimized queries for cost and efficiency across cloud environments
  • Contributed to data modeling, documentation, and data quality checks to ensure consistency and governance across systems

Teaching Assistant – Adobe Digital Academy

Adobe February 2025 – Present
  • Serve as the sole TA for Adobe's Digital Academy data science track
  • Provide individualized technical and conceptual support during project work and office hours
  • Help students navigate complex topics and tools while supporting their career transition into data science

Data Analyst

Spoiler Alert July 2024 – October 2024
  • Built 31 embedded dashboards for 15 major CPG clients, including Kraft Heinz, PepsiCo, Nestlé, and Unilever
  • Developed 9 in-depth internal dashboards to support cross-functional teams
  • Pushed over 300 production commits and performed over 50 pull request reviews across collaborative engineering workflows
  • Gained hands-on experience with BI tools Holistics and Looker
  • Collaborated closely with engineering and product teams to deliver data-driven insights and scalable reporting tools

Teaching Assistant – Data Science Immersive

General Assembly November 2023 – January 2025
  • Sole TA supporting a full-time Data Science Immersive cohort
  • Led 20 hours of weekly office hours for one-on-one student support
  • Assisted with Python (Pandas, Seaborn, Matplotlib), R, SQL, Tableau, and machine learning
  • Provided technical troubleshooting and conceptual guidance across coding, statistics, and data workflows
  • Supported grading, feedback, and student progress tracking in collaboration with the lead instructor

Founder

Atomic Auto – Los Angeles, CA September 2016 – Present
  • Manage daily operations including budgeting, payroll, accounts payable, and receivable
  • Schedule repairs, evaluate OEM schematics, and accurately order necessary parts
  • Set pricing structures based on market analytics and industry trends
  • Built and operate a successful collision repair shop with a loyal client base and long-standing insurance partnerships

Technical Skills

Languages

  • Python
  • Go
  • TypeScript
  • SQL

Data Science

  • Machine Learning
  • Deep Learning
  • Natural Language Processing
  • Computer Vision

Tools

  • Git
  • Jupyter
  • Docker
  • AWS
  • Google Cloud

Libraries

  • NumPy, Pandas
  • Keras, TensorFlow, PyTorch
  • Scikit-learn, NLTK
  • Matplotlib, Seaborn
  • Hugging Face Transformers

Beyond Code

When I'm not coding, you'll probably find me bouldering. I love the mix of mental strategy and physical strength it takes to work a problem. At home I'm usually in the kitchen cooking or curled up with my cat enjoying some downtime.

Get In Touch

Location

Los Angeles, CA, United States

Phone

323-448-5743

Resume

View Resume