- Developed and trained SessionAi’s flagship machine learning models for predicting anonymous visitor actions for major clients (e.g., Verizon, BestBuy), serving as a core revenue driver and generating millions in revenue.- Collaborated with Data Scientists to build a machine learning model that chooses personalized offers based on visitor behavior, achieving a 20% increase in net revenue over random allocation.- Co-developed a patent pending Friction Detection model identifying customer challenges in the online shopping journey for a $1M+ contract.- Processed and transformed billions of data rows from key clients using Python, PySpark, and Polars, creating actionable datasets for machine learning experiments, analysis, and model monitoring.- Developed FastAPI endpoints to integrate and deploy custom machine learning models- Utilized MLflow for lifecycle management, ensuring continuous monitoring and automated updates of ML models.- Utilized Docker and Kubernetes to configure GPU-optimized servers for specialized model training, supporting scalable model training for production.- Established unit testing frameworks for data pipelines using PyTest, TensorFlow Data Validation, and Great Expectations, ensuring high data quality and pipeline resilience.

- Generated and managed test cases for the 8x8 Virtual Desktop application- Analyzed, verified, and logged discovered bugs on Jira and Testrail - Helped build and run automated tests for a SaaS product in development in Jenkins- Collaborated with other teams in an Agile working environment with Test Driven Development

- Developed a tool for stress testing Web servers and several URIs and APIs- Utilized SpringBoot and Thymeleaf as a backend and frontend respectively - Wrote tests for RESTful APIs using both OAuth and JWT for Sessions and authentication- Used Elasticsearch and Kibana to store and visualize test results- Analyzed Http payloads and decoded Protobuffers from real user web traffic

- Created a tool using Javascript and HTML to convert translation files into useable files for the Moxtra App (localization)- Actively collaborated with a team to fulfill project requirements- Used NodeJS to create a server used for administering translation files and managing version control- Participated in and lead corporate presentations on our product

- Learned about aerospace engineering principles- Experience with the MATLAB coding language- Final project consisted of teaching the class on the Mass-Spring-Damper system.

- Attended both an Introduction to C++ course as well as a Unity and C# course- Created a game where the player inputs commands to beat a boss in C++- Created an iOS game using Unity and C#, where the player controls a box attempting to avoid moving obstacles