Unix Shell Interpreter
A Unix-style shell in C/C++ supporting command execution, piping, processes, and environment management.
I’m a master’s student in Artificial Intelligence and Machine Learning at Purdue. My interest in the field starts with the math, including how probability describes a model’s uncertainty and how gradients drive what it learns.
I carry that understanding into everything I make. I build end to end in Python and SQL, from data pipelines to trained models to the applications that present them, and I evaluate results with the rigor a production system requires. I’m seeking an ML or data engineering role where I can build, deploy, and maintain models in production.
Outside of work, you’ll usually find me running, hiking, or baking.

PyTorch, scikit-learn, SBERT, spaCy, WordNet, OpenAI API, Gemini API, Classification, Embeddings, Feature Engineering, Model Evaluation, Calibration
Python, Java, C++, C, C#, Bash, FastAPI, Django, REST APIs, JWT Authentication, OOP, Data Structures & Algorithms, Testing, API Design
PostgreSQL, Pandas, Numpy, MySQL, MongoDB, SQL, ETL, Data Cleaning, Data Transformation
React.js, JavaScript, Vite, HTML, CSS, Authentication, Reusable Components
Linux, Docker, Git, Unix Processes, Sockets, HTTP, Client–Server, C, C++, Bash, Jupyter
A full-stack market analytics and machine learning product for exploring major S&P 500 drawdowns and estimating 180-day recovery probability. It turns a large historical dataset and leakage-audited workflow into an interface built for practical research.
Smaller builds, coursework, and early experiments.
A few places where I learned how software gets used outside of class projects.
EDUCATION
Purdue University
M.S. Artificial Intelligence & Machine Learning
Jan 2026 – Present
Purdue University
B.S. Computer Science
Concentration: Machine Intelligence
2021 – 2025
Software Developer Intern
•
Developed Python pipelines using GATK and BCFtools to automate manual genomic analysis workflows.
•
Consolidated sequencing outputs into cohort-level datasets and built reusable modules for polygenic risk-score calculations.
•
Worked with researchers and downstream users to improve the reliability and usability of internal analysis tools.
Web Designer Intern
•
Built and maintained pages using WordPress, HubSpot, HTML, and CSS.
•
Improved page structure, styling, and content presentation across the site.
•
Collaborated directly with non-technical stakeholders to translate business needs into website updates.