Nov 2022 – Sep 2024 · 1 yr 10 mos

Jun 2021 – Nov 2022 · 1 yr 5 mos

May 2021 – Present · 5 yrs 1 mo · United States

• June 2022 - Present: Lead TA on Machine Learning in Cybersecurity Project
• May 2021 - June 2022: TA on Malware Analysis and Clustering Project

Apr 2020 – Jun 2021 · 1 yr 2 mos

Jun 2019 – Mar 2020 · 9 mos

• Technical Development Program Rotation 3/3 : Worked as a Data Engineer for AT&T's Chief Data Office on Fraud and Security Usecases.
• Worked with existing batch process fraud prediction micro-service to add new features
• Built realtime streaming application using Apache Kafka and Apache Flink to create windowed aggregations that were used as features of a Machine Learning model to predict fraud. This sped up the model scoring time from 2 days to 30 milliseconds which allowed the model to be run before the customer's transaction is completed.

Dec 2018 – May 2019 · 5 mos

• Technical Development Program Rotation 2/3 : Worked on the Chief Data Office AI Solutions Support team, focused on an internal facing platform aiming to democratize AI.
• Usecase/Modeling On-boarding lead: Worked with various internal business unit teams to develop machine learning usecases. Also worked with data science modelers to troubleshoot code and improve model execution.
• Worked with UI/UX team to improve platform usability and add new features to meet users needs
• Developed platform metrics and worked with marketing communications team to grow user base

Jul 2017 – Dec 2018 · 1 yr 5 mos

• Technical Development Program Rotation 1/3 : Worked on the Mobility Transport - Fundamental Network Planning team in the Global Technology Planning Organization. The planning organization sits between the internal Finance and Development teams and uses budgets set by the finance teams to select development projects for the future of AT&T's Mobility Network.
• Worked to visualize labor done, budgets and actuals for Development Projects as well as Unit Costs for PxQ projects
• Created financial models to predict estimated spend by month for long term projects

May 2016 – Jul 2016 · 2 mos · Minden, NV

• Test Engineer
• Developed Module Tests for Power Supplies and I/O’s using NI Test Stand Collaborated with Technology team on RoHS Refresh Projects
• Helped with testing and roll out of product on the Manufacturing floor

Aug 2015 – May 2017 · 1 yr 9 mos · Notre Dame, IN

• Mentored 42 First Year Students at the University of Notre Dame and met with each one at least once during each semester

Jun 2015 – Jul 2015 · 1 mo · Aurora, CO

• During my 9 week internship at Advanced Circuits I learned the fundamental processes for making printed circuit boards (PCBs). I worked with Cshell, Python and Qbasic to add new functionality to the existing Computer Automated Manufacturing (CAM) panelization code. Most of my time was spent helping to change the placement of IPC-6012 specification coupons from static placement to dynamic placement as well as allowing for multiple 6012 specification boards to be printed on the same manufacturing panel. For each iteration of changes to the panelization code (v1.09 - v1.21) I was required to extensively test the placement code for bugs. This improved the usable space per panel and allowed for higher profitability per panel. I also worked on a 2D placement algorithm for minimizing wasted space on panels.

Nov 2014 – May 2015 · 6 mos · University of Notre Dame, IN

Jun 2013 – Jul 2013 · 1 mo

• • Learned about Geriatrics as well as running a elderly care facility

Jan 2013 – Jun 2013 · 5 mos · Newport Beach, CA

• Interned for Gordon Roth, CFO and COO and Donald Skrdlant, VP of Finance
• Worked in/Job shadowed in the Research, Trading, Investment Banking and Finance Departments
• Used model to execute the Black-Scholes Valuation for Jan, Feb, March, April of 2013