Currently a research engineer at IPVM, working on cutting-edge testing in the physical security industry. Holding a master’s degree in Engineering Mechanics/Physics from Virginia Tech, with extensive experience in computer vision, data science, and quantitative methods. Also experienced and highly interested in commodities markets, particularly in the energy and precious metals sectors.
Role | Company | Duration | Location | Details |
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Research Engineer | IPVM | Apr 2024 - Present | Bethlehem, PA | Conducting testing in video surveillance and access control, analyzing market trends, and data cleaning for a GPT project. |
Research Associate | Virginia Tech | Mar 2024 - May 2024 | Blacksburg, VA | Performed data analysis for a microfluidics project. |
Quantitative Analyst | Commodity Investing by Students (COINS) | Mar 2023 - Nov 2023 | Blacksburg, VA | Analyzed and made trade recommendations for a $1M student-run commodity group focusing on ETF futures. |
Research Intern | CytoRecovery, Inc. | Jun 2023 - Aug 2023 | Blacksburg, VA | Assisted in microfluidic product development and testing. |
Undergraduate Researcher | Hume Center for National Security and Tech | Sep 2021 - Aug 2022 | Blacksburg, VA | Worked on machine learning projects for drone deployment. |
Computer Vision Intern | Renzoe Box | Jan 2022 - Feb 2022 | Remote, Texas | Developed computer vision models for the cosmetics industry. |
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Programming & Data Analysis
Python (Pandas, Numpy, Scikit-Learn), C++, Machine Learning, Data Cleaning, Feature Engineering, Computer Vision (OpenCV) -
Physical Security Systems
Video Surveillance Testing, Access Control Deployment, Analytics Evaluation, Market Trend Analysis -
Data Science & AI Projects
GPT Model Fine-Tuning, Retrieval-Augmented Generation (RAG), Data Pipeline Management -
Finance & Commodities
Quantitative Analysis, ETF Futures Trading, Regression Analysis, Commodity Market Dynamics -
Microfluidics & Prototyping
Device Design, Prototyping, Statistical Data Analysis, Manufacturing Process Improvement