Career Profile

A versatile and efficient full-stack developer with an interest in Machine Learning & Distributed Systems. Adept at solving complex technical challenges, with hands-on experience in software engineering, machine learning, and cloud technologies.

Experiences

Software Engineering Intern

Jun. 2023 - Aug. 2023
Optum, Eden Prairie, MN

Developed a multithreaded, hosted LLM chatbot that automates response to RFPs, estimated to reduce response time by 48%, saving ~$800,000 annually. Led API integrations such as SharePoint into an automated pipeline, streamlining the retrieval and analysis of 10,000+ documents weekly.

Software Engineering Intern

Jun. 2022 - Aug. 2022
Optum, Eden Prairie, MN

Attained top ~5% performance review score. Automated financial reports using Python and SQL, creating efficiencies in reporting workflows. Co-developed a full-stack application for clinicians, using Angular and Java Spring Boot.

Consultant, Co-Founder

Jun. 2024 – Present
Knick, LLC

Established company operations, developed website, and managed finances and client relations.

Volunteer Research Assistant

Oct. 2024 – Present
University of Minnesota Distributed Systems Group

Assisting in developing a dataset and building an LLM for creating distributed computing clusters.

Certifications

AWS Cloud Practitioner

2024 - 2027
Amazon Web Services (07e2530c1d104bf8b8b33aa396a41b34)

Projects

Schedule Builder - Full-stack app using Nodejs, Fetch API, jQuery, and SQL, enabling users to create, edit, and visualize schedules.
Image Neural Network - Built a Convolutional Neural Network in PyTorch trained on 50,000+ images to identify misclassifications and trends in errors.
Recipe & Pantry Tracker - Responsive React app with CRUD functionalities using Azure NoSQL MongoDB backend and API integrations.

Skills & Proficiency

Python, Pandas, & Numpy

HTML, CSS, & JS

Machine Learning & AI Frameworks

React

C, C++, & Java