Experience

Packback

Senior Software Engineer • Jan, 2023 — Present

  • Lead Python developer for NLP, plagiarism detection, AI content detection, and LLM-based chat assistant services.
  • Improved plagiarism check times from a one minute average down to 15 seconds.
  • Architected a paraphrase detector using sentence similarity models and dynamic programming.
  • Built an event processing system handling 5k events/s with novel visualizations of the student writing process.
  • Developed NLP algorithms to generate actionable feedback on student writing.
  • Migrated AI detection and ML grammar correction to a dedicated GPU server, achieving a 20x speedup.
  • Built and deployed new Python services based on PyTorch, FastAPI, Helm, and Kubernetes.
  • Transitioned Analytics Service to use BigQuery to resolve issues with flaking data pipelines.

Gridspace

Machine Learning Data Engineer • Apr, 2018 — Jan, 2023

  • Built and managed data collection and labeling platforms using Django, Helm, and Kubernetes on GCP.
  • Built a human-in-the-loop labeling tool for efficiently correcting machine-generated transcripts.
  • Grew user base to 500+ active users, generating 3,000+ hours of domain-specific speech data.
  • Designed and built dialog act and emotion recognition models.
  • Collaborated with ML engineers to build and deploy state-of-the-art speech recognition and TTS models.
  • Built and managed data collection platform Gridspace Mixer, where users call in and talk to a partner in a specified domain scenario.

Congruity Works and Professional Development

Web Development and Support • Aug, 2017 — Apr, 2018

  • Provided support and development for wordpress and drupal sites using html, css, javascript and php.
  • Completed 11 Coursera courses including the Deep Learning Specialization, building foundational skills in machine learning and data science.

Purdue University

PhD and Postdoctoral Researcher • Jan, 2011 — Jul, 2017

  • Developed novel computational methods within the field of density functional theory.
  • Wrote MATLAB software to solve problems involving ODEs and PDEs as well as corresponding inverse problems.
  • Published 12 peer-reviewed papers and presented at 13 domestic and international conferences.
  • Integrated new algorithms into existing FORTRAN software packages
  • Translated abstract ideas into custom MATLAB software for use in research
  • Implemented version control and unit tests to increase the quality of software developed by our research group

Goshen College

Adjunct Professor • Fall 2013

  • Taught and developed course material for Analytical Mechanics

Purdue University and Goshen College

Teaching Assistant • Fall 2007 — Fall 2010

  • Helped to teach courses on electricity and magnetism, electronics and general physics as an undergraduate at Goshen College and graduate student at Purdue University

Education

Purdue University

PhD in Physics • 2015

GPA: 3.92 / 4.0

Goshen College

BA in Physics, Minor in Math • 2008

GPA: 3.82 / 4.0

Skills

Computer Science

  • Python
  • Django
  • FastAPI
  • React
  • PyTorch
  • TensorFlow
  • JAX
  • Spacy
  • Numpy
  • Scipy
  • Pandas
  • Scrapy
  • Kubernetes
  • Helm
  • GCP
  • BigQuery
  • Gitlab CI
  • Terraform

Math and Physics

  • Machine Learning
  • Numerical ODEs and PDEs
  • Numerical Inverse Problems
  • Density Functional Theory
  • Quantum Mechanics
  • Electronic Structure

Publications

V Chávez, J Nafziger, A Wasserman • 2022

M Wu, J Nafziger, A Scodary, A Maas • 2020

Adam Wasserman, JN, Kaili Jiang, Min-Cheol Kim, Eunji Sim, Kieron Burke. • 2017

More papers on