I'm a skilled RPI engineer seeking employment in machine learning.

I earned two magna cum laude bachelor's degrees from Rensselaer Polytechnic Institute in Biomedical Engineering and Computer Science. My relevant coursework includes:

Multivariable Calculus and Matrix Algebra

Linear Algebra

Introduction to Differential Equations

Probability Theory and Applications

Computational Optimization

Beginning Programming for Engineers

Computer Science I

Data Structures

Foundations of Computer Science

Rensselaer Center for Open Source

Introduction to Algorithms

Design & Analysis of Algorithms

Machine Learning From Data

Reinforcement Learning

Data Mining

Principles of Software

Computer Organization

Operating Systems

Programming Languages

Modeling and Analysis of Uncertainty

Engineering Graphics and Computer-Aided Design

Molecular Modeling

Modeling of Biomedical Systems

Biostatistics

In my Summer 2025 internship, I coded two functional TypeScript Model Context Protocol servers (stdio + streaming HTTP) linking an LLM interface to OAuth2.0 authorization flow and the Toll-Free Number database API, implementing MCP server tools to query and reserve numbers.

In my Summer 2024 internship, I used PyTorch with torchvision and torchaudio for convolutional neural networks to categorize audio via 2D tensors of Mel Spectrograms. I'm proficient with NumPy, pandas, seaborn, and Matplotlib in Jupyter Notebooks for machine learning and data science.

I learned substantial Python from working through problems on my own using LeetCode and completed a C++ Data Structures course. I've also shared some of my LeetCode solutions on my GitHub. I'm best with:

Array, String, Hash Table, Math, Sorting, Two Pointers, Simulation, Greedy, Bit Manipulation, Binary Search, Stack, Dynamic Programming, Matrix, Tree, Binary Tree, Breadth-First Search, Depth-First Search, Divide and Conquer, Sliding Window, Linked List, Backtracking, and Game Theory

While I'm most comfortable with Python, PyTorch, C, and C++, I have some experience with MATLAB, R, Java, Processing, TypeScript, Scheme, Haskell, MIPS, Prolog, Minitab, Arduino, Siemens NX, MOE, and LabVIEW.

I'm proficient at creating original digital art and animation in Adobe Creative Cloud, via my customary workflow of Photoshop, Animate, After Effects, and Premiere. I've also worked in Autodesk Maya for more advanced 3D projects.

Rensselaer Polytechnic Institute in Troy, NY ranks #12 for best computer science and engineering schools (Business Insider) and ranks #32 for undergraduate engineering programs (U.S. News and World Report).

In 2024, I was inducted into the Upsilon Pi Epsilon Computer Science Honor Society for my academic accomplishments and coding project experience. I earned my bachelor's degree in Computer Science with a 3.72 GPA in December 2025.

In 2017, I was inducted as a member into the Tau Beta Pi Engineering Honor Society due to my academic performance, community service, and participation in team-building exercises. I completed my Biomedical Engineering bachelor's degree with a 3.88 GPA and graduated in December 2018.

Graduate Record Examination (GRE General Test)

Verbal Reasoning 170/170

Quantitative Reasoning 170/170

Analytical Writing 5.5/6.0

SAT

Math 800/800

Critical Reading 770/800

Writing 720/800

American Invitational Mathematics Exam (AIME)

8/15

National Merit Finalist/Scholar

Feel free to connect with me on LinkedIn!

In my Summer 2025 role at Somos as an Engineering Intern working on TypeScript MCP servers to query and reserve Toll-Free Numbers, I leveraged GitHub Copilot agent mode in Visual Studio Code to accelerate my software development workflow. Through a Jira optimization capstone team project, I conducted stakeholder interviews, authored Jira Best Practices documents, and assisted in the development of custom dashboards. My 16-intern team practiced the Agile workflow of scrum, standups, and sprints.

In my Summer 2024 role at Certus Innovations as a Machine Learning intern, I applied deep learning for AI/ML development while providing support data science, analysis, and visualization work. Through implementing PyTorch with torchvision and torchaudio, I built Convolutional Neural Networks for multi-class audio categorizing with >98.5% test accuracy between 12 classes, using 2D tensors of post-Fourier transform Mel Spectrograms. I designed, ran, and analyzed my own Titan GPU experiments to optimize model architecture/performance. 

In Summer 2023, I worked as a Computer Science I Programming Mentor at RPI, sharing my mastery of Python object-oriented programming (functions, conditionals, dictionaries, classes, searching, and sorting) with students. I provided in-class academic instruction, guidance, and support as well as individualized mentorship outside class. I developed strong interpersonal skills and made my coding thought process easily understandable to others.

In 2022, I provided copy editing services to writers of technical and financial content on Bitcoin for pay. My astute eye for precision in writing has enabled many subtle improvements to full-length books as well as articles published in Bitcoin Magazine. Beyond grammar, syntax, and punctuation, I can also assess technical accuracy and provide advanced corrections.

I worked full-time as an academic laboratory research technician in the BSL-2 laboratory of Dr. Wesley Sundquist at the University of Utah under my mentor Dr. Joerg Votteler. I performed mammalian cell culture, PEI transfection, exosome isolation, SDS-PAGE, Western Blot, immunofluoresence imaging, bacterial transformation, and plasmid preps. My duties included lab maintenance e.g. managing chemicals, supplies, samples, and biohazard waste. I generated labeled figures, interpreted data, and communicated results to colleagues. I researched engineered proteins that direct their own release from cells, analogous to the activity of naturally occuring viral capsids.

I worked in a team of undergraduate engineering students to design, prototype, build, and test a smart bicycle with an automatic transmission. I helped produce illustrations, applied my skills in technical writing, and contributed a biomedical subsystem including a heart rate sensor, digital display screen, and some Arduino code. This team-building experience helped me improve my range of skills as an engineer, including effective delegation and cross-cultural communication. The full project report is available above as a PDF engineering design document.

I write poetry and have performed at numerous Open Mic events at universities over the years. Using my Wacom Intuos tablet to make digital artwork and animations, I have widely shared my creative works online for over a decade. My visual artwork and poetry can be found at DeviantArt, and my most personal animations are on YouTube.

Over the years, my oeuvre spans 70+ poems, hundreds of visual artworks, and 50+ computer animations. While most of my sketchbooks and some of my more experimental visual works are not published, most of my finished artworks are publicly available online. My creative works often explore the intersections of animals, nature, science, and technology. At the moment, I'm querying literary agents for professional representation with my completed manuscript of a young adult science fiction novel.