Taylor Terry
Hoboken,NJ
Summary
Creative and driven computer science student with deep experience spanning software engineering, data analytics, and product management. Proven ability to rapidly solve open-ended technical problems, build impactful products, and drive innovation through cross-functional teamwork. Skilled in large-scale data wrangling, machine learning, and developing real-world solutions that empower decision-makers. Brings a unique blend of technical skill, a background in theater, creative problem-solving, and clear communication to excel in fast-paced, dynamic, and high-stakes environments.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Extended Reality Product Management Intern
Johnson & Johnson MedTech
05.2025 - Current
- Spearheaded the creation of an XR solution for Stable Operations Labs projected to save $170,000/year in operational costs by optimizing workflows and reducing training time.
- Developing an agentic AI overlay for a generative AI platform, empowering sales teams selling medical devices to leverage advanced, personalized AI-driven insights within their workflow.
- Co-led development of an Augmented Reality educational platform that visualizes CAR-T cell therapy,increasing user understanding and engagement across cross-disciplinary clinical teams.
- Drove user research, pain point detection and cross-functional planning while aligning business and engineering teams through stakeholder engagement and leadership presentations.
End User Services Data Analytics Intern
Johnson and Johnson Technology
05.2024 - 08.2024
- Implemented a SQL database and engineered a PowerShell automation script to load Microsoft Teams Quality of Service (QoS) data from over 100,000 calls daily.
- Developed a PowerShell script to retrieve daily participant ratings and QoS data from Zoom's APIs, and implemented a predictive model to optimize API call usage, ensuring compliance with a limit of 40,000 API calls per day.
- Created a PowerBI dashboard leveraging SQL databases for Teams and Zoom to visualize and analyze daily problematic meeting rooms, as well as to display rankings and assess metrics for each room.
Quantum Machine Learning Researcher
Stevens Institute of Technology
09.2023 - Current
- Developed and implemented a Keras-based inpainting model that reconstructed missing quantum state measurements with 90% precision, enhancing data reliability for research applications.
- Engineered a robust preprocessing pipeline for 10,000+ complex quantum data points, standardizing formats and improving data quality for advanced analysis.
Financial Data Science Consultant
Ohmite/Applied Solutions Group
07.2023 - 09.2024
- Led and executed an end-to-end statistical analysis of $10M+ and 4 years of Ohmite Electrics sales data, uncovering actionable business insights to inform revenue strategy.
- Engineered and deployed a neural network model using 200,000+ preprocessed sales records, achieving 90%+ accuracy in predicting buyer types and supporting targeted sales initiatives.
Computer Vision Engineer
Kinedyne
09.2024 - 02.2025
- Led a cross-functional team to optimize military net manufacturing by implementing a machine learning–driven quality testing process, streamlining inspection workflows.
- Developed and deployed a custom computer vision model with a Keyence Pattern Recognition camera to automatically detect stitching anomalies and predict quality metrics, significantly increasing inspection speed and consistency.
Biomolecular Engineering Lab Research Assistant
Stevens Institute of Technology
11.2022 - 05.2024
- Developed an end-to-end Python preprocessing pipeline to align, clean, and annotate antibody datasets, streamlining data quality for downstream research and analysis.
- Processed and managed over 30,000 antibody data points on a Linux-based system, ensuring accuracy and reproducibility for research teams.
- Trained and validated 10+ convolutional neural network models (TensorFlow/Keras) to predict spatial chargemaps, CDR, Fv, Hv, and Lv regions of antibodies, achieving >90% prediction accuracy.
- Co-authored and published a peer-reviewed research paper (“DeepSP: Deep Learning-Based Spatial Properties to Predict Monoclonal Antibody Stability”) in the Computational and Structural Biology Journal, translating technical results into impactful scientific insights.
Research Assistant
New York University
06.2021 - 08.2021
- Developed a PyTorch deep learning model to predict detailed temperature profiles (1,540 points) of a combustion engine from five dynamic input parameters, achieving a low MSE of 237 and outperforming classical simulations by over 200x in speed.
- Built an interactive MatPlotLib contour plot for real-time visualization of predicted temperature profiles across varying input conditions, enhancing data interpretability and usability for engineering teams.
Education
Master of Science - Financial Engineering/ Machine Learning
Stevens Institute of Technology
Hoboken, NJ05-2027
Bachelor of Science - Computer Science
Stevens Institute of Technology
Hoboken, NJ05-2026
Skills
- Python
- Machine Learning
- Data Science
- Java
- Collaboration
- Data Structures
- C
- C
- PowerBI
- SQL
- AWS
- PowerShell
- ETL Development
- Statistical Analysis
- User Research
- Predictive Modeling
- Data Visualization
- Product Management and Analytics
- Data-driven Decision Making
- Javascript
- Agile
- API integration
Certification
Product Management and User Research, Product Institute, 2025
Publications
DeepSP: Deep Learning-Based Spatial Properties to Predict Monoclonal Antibody Stability, Computational and Structural Biology Journal, 2024
Theatre
In addition to being a computer scientist, I am also an avid actress. I have worked professionally off-Broadway as well regionally and in concerts. I have performed in over 30 musicals and straight plays. I believe deeply in the coexistence between arts and sciences.
Timeline
Extended Reality Product Management Intern
Johnson & Johnson MedTech
05.2025 - Current
Computer Vision Engineer
Kinedyne
09.2024 - 02.2025
End User Services Data Analytics Intern
Johnson and Johnson Technology
05.2024 - 08.2024
Quantum Machine Learning Researcher
Stevens Institute of Technology
09.2023 - Current
Financial Data Science Consultant
Ohmite/Applied Solutions Group
07.2023 - 09.2024
Biomolecular Engineering Lab Research Assistant
Stevens Institute of Technology
11.2022 - 05.2024
Research Assistant
New York University
06.2021 - 08.2021
Master of Science - Financial Engineering/ Machine Learning
Stevens Institute of Technology
Bachelor of Science - Computer Science
Stevens Institute of Technology
Similar Profiles
SWANUBHAV RATHSWANUBHAV RATH
Product Owner- Web and Digital Platforms at Johnson and Johnson MedTechProduct Owner- Web and Digital Platforms at Johnson and Johnson MedTech
Daniel HillDaniel Hill
Manager, Sports Capital Sales - East at Johnson & Johnson MedTechManager, Sports Capital Sales - East at Johnson & Johnson MedTech
Quintin AshiteiQuintin Ashitei
Surgical Sales Consultant at Johnson & Johnson MedTech OrthopedicsSurgical Sales Consultant at Johnson & Johnson MedTech Orthopedics
Jason D. ScottJason D. Scott
Senior Territory Manager BDPI Vascular at Becton Dickinson (BD)Senior Territory Manager BDPI Vascular at Becton Dickinson (BD)
Rebecca HaneyRebecca Haney
Community Group Director at Hoboken Evangelical Free ChurchCommunity Group Director at Hoboken Evangelical Free Church