I'm an RPI student pursuing Computer Science for my professional advancement.

I earned a magna cum laude B.S. in Biomedical Engineering from RPI. As of May 2024, my completed courses in math and computer science include:

Multivariable Calculus and Matrix Algebra

Linear Algebra

Differential Equations

Probability Theory and Applications

Computational Optimization

Engineering Graphics & Computer-Aided Design

Beginning Programming for Engineers

Computer Science I

Data Structures

Foundations of Computer Science

Computer Organization

Rensselaer Center for Open Source

Molecular Modeling

Modeling of Biomedical Systems

Modeling & Analysis of Uncertainty

Biostatistics

My  Fall 2024 and Spring 2025 courses:

Machine Learning From Data

Reinforcement Learning

Introduction to Algorithms

Design & Analysis of Algorithms

Principles of Software

Operating Systems

My recent coding work has implemented PyTorch with torchvision and torchaudio for convolutional neural networks for multi-class audio categorization using 2D tensors of Mel Spectrograms. I'm proficient with NumPy, pandas, seaborn, and Matplotlib in Jupyter Notebooks for machine learning and data science by way of my Summer 2024 internship.

I gained substantial programming skills in Python from working through problems on my own using LeetCode and completed a C++ Data Structures course. I've also shared some of my solutions on my GitHub so that you can get a sense of what my original code looks like in practice. So far, I'm best at using:

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

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

I'm highly proficient at making original digital art and animation in Adobe Creative Suite/Creative Cloud, via my customary workflow of Photoshop, Flash/Animate, After Effects, and Premiere. I've 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 (U.S. News and World Report) for undergraduate engineering programs.

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

In 2024, I was inducted into the Upsilon Pi Epsilon Computer Science Honor Society due to my academic accomplishments and extensive coding project experience. So far in my return to RPI for additional Computer Science studies, I have a 3.81 GPA. I'm aiming for the M.S. in Computer Science from RPI.

Graduate Record Examination (GRE General Test)

Verbal Reasoning 170/170

Quantitative Reasoning 170/170

Analytical Writing 5.5/6.0

SAT: Math 800 | Critical Reading 770 | Writing 720

Feel free to connect with me on LinkedIn!

In my Summer 2024 role as a Machine Learning intern, I applied deep learning for AI/ML development while providing support data science, analysis, and visualization work. I used NumPy, pandas, seaborn, and Matplotlib in Jupyter Notebooks for exploratory data analysis and pattern searching. 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, working on 2D tensors of post-Fourier transform Mel Spectrograms. I designed, ran, and analyzed my own Titan GPU experiments to optimize model architecture/performance. My LinkedIn profile features the corresponding recommendation letter.

In Summer 2023, I worked as  a Computer Science I Programming Mentor at RPI, sharing my mastery of Python object-oriented programming with students. I provided academic instruction, guidance, and support to a class of 17 students during their laboratory section. I also offered focused mentorship to a group of 3 students who could meet with me for additional assistance.

I've 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 and even 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 such as managing chemicals, supplies, samples, and biohazard waste. I generated labeled figures, interpreted data, and communicated results to colleagues. My research contribution related to the empirical evidence supporting designed proteins being capable of directing their own release from cells, analogous to the activity of naturally occuring viral capsids. A professional employer recommendation is available upon request. 

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