AI · software · research

Hi, I’m Jason.
I build agentic AI.

I’m an AI engineer with a history of AI enablement, software engineering, and research, graduating from Cal Poly San Luis Obispo with both a bachelor’s and master’s in computer science. I like turning difficult technical product problems into products that people can actually use.

Currently based in
the Bay Area, California

Open to
FDE, AIE, & SWE Roles

Jason smiling beside a pond in a Tokyo park

Experience

A history of building, researching, and leading across applied AI and software engineering.

2026–Now

AI Fellow for Executive Enablement · Ibotta

Building explainable AI solutions that free team members up for higher-impact work.

2025 — Now

Machine Learning & Cybersecurity Researcher · Cal Poly

Training adversarial models against network intrusion detection systems and studying resilient NDR solutions.

2023–Now

President · CS+AI

Lead the CS+AI community at Cal Poly by organizing technical projects, workshops, hackathons, and events; supporting members; and connecting students with opportunities across computer science and artificial intelligence.

2026

AI Fellow · Colorado Thrives

A fellowship in partnership with CodePath and Anthropic, serving as a precursor to the Claude Core program.

2025

AI Engineer · AAA Mountain West Group

Built a Google Workspace RAG chatbot, Vertex AI search infrastructure, and Terraform-based CI/CD.

2023 — 2025

Tech Lead & Software Developer · Hack4Impact

Led eight developers building a full-stack volunteer management platform used by nonprofit teams.

2023 — 2024

Solutions Architect · AWS Digital Transformation Hub

Built an AI research assistant and a 20,000-node knowledge graph for the San Luis Obispo City Council.

2022–2024

Deep Learning Researcher · Cal Poly · AI for Search and Rescue

Worked with Franz Kurfess and a research team to build a deep-learning search-and-rescue platform that used machine learning to support search operations and provide decision support.

Projects

A few systems, experiments, and collaborations that represent how I work.

01

Discord Automation Flows

Syndicated data from internal databases and the web into a daily summary of postings for internship seekers.

TypeScript · Node.js · Discord API · Notion API
↗
02

ClearSky - Unwrapathon

Worked on a five-person data pipeline that visualized user sentiment across subreddits.

Python · K-means · MongoDB · Text embeddings · Similarity search
↗
03

Physics Engine Evaluation

Compared Genesis and Isaac Gym across local devices, AWS EC2, and Brev, evaluating five simulations at up to 200,000 environments simultaneously.

Python · Genesis · Isaac Gym · Brev · EC2 · HTTPerf · JMeter
↗
04

TinyFS and Disk Emulator

Implemented Unix file-block operations and a TinyFS file system with permissions, directories, timestamps, fragmentation, and renaming.

C/C++ · Multithreading · Vim · OS · HDD · I/O
↗
05

Mustang Chat

Developed a multi-user client-server chat application with a custom network protocol over UDP.

Python · Socket programming · UDP protocol · IP routing
↗
06

Data Analytics and Reporting Pipeline

Built SQL data pipelines and automated reporting workflows, improving data accuracy by 10%.

SQL
↗
07

Sentiment Classifier

Built a PyTorch sentiment classifier for video comments and compared RNN, GRU, and LSTM architectures.

PyTorch · Python · Scikit-learn · Neural networks
↗
08

Find Your Niche

Converted 7 million song plays from 54 users into matrices for clustering, similarity analysis, and recommendations.

Python · NumPy · Pandas · Scikit-learn · AI algorithms
↗