Forward Deployed Engineer

• Jun 2023 - Present

AI Research Engineer

• Jan 2023 - Jun 2023

- Developed V1 deep learning system to recognize handwritten mathematical expressions achieving 60 BLEU on common benchmarks - Architected a no-code AWS-based system for secure management of open-source deep learning models trained on private data - Developed V1 deep learning system to recognize handwritten mathematical expressions achieving 60 BLEU on common benchmarks - Architected a no-code AWS-based system for secure management of open-source deep learning models trained on private data

Computer Science and Engineering Tutor

• Jan 2023 - Apr 2023

Undergraduate Teaching Assistant

• Aug 2020 - Apr 2023

- Provided assistance to students in Data Structures and Embedded Control classes and labs. - Checked off and supervised labs. - Provided assistance to students in Data Structures and Embedded Control classes and labs. - Checked off and supervised labs.

Software Engineering Consultant

• Oct 2022 - Dec 2022

Lead Backend Engineer

• Jul 2022 - Oct 2022

- Architected and led project to build the backbone library for data operations- Deployed data pipelines in a serverless, scalable solution using AWS- Designed and administrated central graph-based database and internal REST API using Neo4j and FastAPI

Software Engineer

• Jan 2021 - Jun 2022

- Built performance dashboard demonstrations using Dash and Plotly- Constructed backend for internal data-labeling service with Flask and deployed using AWS Elastic Beanstalk- Designed and implemented a system for even pre-sampling of data for machine learning models with unsupervised learning techniques and the PyTorch library

Data Engineering Intern, Shipboard IT Fleet Support

• Jun 2022 - Aug 2022

- Built big-data pipelines using Spark saving hours of complex SQL queries - Visualized resultant data with Tableau and SQL - Generalized Spark pipelines as a Python library using PySpark saving a month of development efforts - Employed common time-series analysis techniques like exponential smoothing to analyze high-resolution telemetry data for new features - Built big-data pipelines using Spark saving hours of complex SQL queries - Visualized resultant data with Tableau and SQL - Generalized Spark pipelines as a Python library using PySpark saving a month of development efforts - Employed common time-series analysis techniques like exponential smoothing to analyze high-resolution telemetry data for new features

Intern, CMC Regulatory Sciences

• Jun 2021 - Aug 2021

- Designed Database System to organize regulatory QC data using Access and SQL - Leveraged Excel and VBA to organize and analyze education compliance data - Designed Database System to organize regulatory QC data using Access and SQL - Leveraged Excel and VBA to organize and analyze education compliance data

Intern, Product Engineering

• May 2020 - Dec 2020

- Leveraged LabVIEW, NI Instruments, and Excel/VBA to collect, analyze, and visualize data - Designed custom VBA macros to shave hours off of data collection and analysis turnaround times - Created cryptographic product demonstrations in Python and C++ - Planned and wrote feasibility report on Electroglas 4090 wafer tester automation assignment - Leveraged LabVIEW, NI Instruments, and Excel/VBA to collect, analyze, and visualize data - Designed custom VBA macros to shave hours off of data collection and analysis turnaround times - Created cryptographic product demonstrations in Python and C++ - Planned and wrote feasibility report on Electroglas 4090 wafer tester automation assignment