Current Obsession
Designing apps that feel simple on day one but remain powerful on day one hundred. Lately, I am exploring AI-assisted features that reduce repetitive user input.
What I am focused on
What I'm Building Now
Outside The Screen
Basketball and lifting with friends, plus podcast episodes about product and startups. A lot of my project ideas start there before they become commits.
One project story
Featured Project Story
WalletLens
We are building WalletLens to solve a simple problem: most budgeting tools are either too complex or too shallow. The goal was to keep the interface intuitive while still delivering serious features like secure auth, smart receipt parsing, and useful reporting.
- Idea: Make budget tracking feel like a habit, not a chore.
- Build: Started with auth + core expense flow before adding AI layers.
- Learned: Users stay longer when setup friction is nearly zero.
Challenge: Balance security, usability, and AI-assisted automation in one coherent product.
Outcome: A full-stack app that helps users track spending habits with less manual effort.
Where I studied
Education
University of North Carolina Charlotte
B.S. in Computer Science • Concentration in Data Science
GPA: 3.75 • Expected Graduation: May 2026
Honors: Dean's List, Chancellor's List
What I have worked on
Experience
January 2026 – Present
Alpha InvestTech • Software Engineering Intern
- Helping build an LLM-powered dashboard that lets CFOs and Treasurers query financial insights in plain English.
- Builing domain knowledge in fixed income investments for corporate treasuries to inform product decisions and feature design.
- Delivering consistent progress updates with well-prepared demos, asked clarifying questions, and executed on feedback quickly.
Tech: LLMs, NLP, data visualization, financial analytics.
May 2025 – August 2025
Klear.ai • Full-Stack Developer Intern
- Gained domain expertise in Property and Casualty insurance (GL, WC) while building tools that streamlined claims processing, reduced manual workload, and improved data accuracy.
- Contributed backend features that supported complex client reporting needs and personalized claim information delivery.
- Wrote and optimized SQL processes that updated master data tables, resolving client communication errors and ensuring timely information flow.
July 2024 – September 2024
Cisco Systems Inc. • Software Engineering Intern
- Engineered a high-efficiency address space allocation system and automated subnet management using Python, saving 30+ hours per week and reducing manual errors.
- Improved consistency, scalability, and workflows across multiple departments through standardized network planning automation.
- Developed a scalable classification system for large-scale network records using Pandas, enabling faster preprocessing and data-driven decisions.
March 2021 – July 2021
Revelin7 Technology • Software Development and QA Intern
- Supported QA and validation for blockchain management software by analyzing system outputs, identifying defects, and improving data integrity.
- Collaborated with interns to meet tight deadlines through task delegation, organized workflows, and clear communication.
- Ensured clear documentation and high-quality deliverables through teamwork and proactive guidance.
What I have worked on
Projects
WalletLens is a full-stack personal finance web app built to simplify money management through one secure and easy-to-use platform.
Highlights: Secure auth, AI receipt parsing, smart reporting.
Tech:
TreeSense classifies tree species from leaf images with a clean UI and a reliable prediction API.
Highlights: Fast inference, clean UI, model-backed API.
Tech:
HoopConnect is an NBA fan experience for exploring players, teams, and game insights.
Highlights: Player browsing, clean UI, smooth navigation.
Tech:
Blackjack Game
A simple Python/Tkinter Blackjack game where players can hit, stand, double, or split against a dealer following classic rules.
Highlights: Dealer AI, card graphics, new game + shuffle.
Tech:
Todo App
A simple to-do app that keeps daily routines on track with quick task creation and removal.
Highlights: Quick add/remove, daily workflow, focus on consistency.
Tech:
Project Six
Short description of your project in one sentence for a clear snapshot.
Highlights: Clear outcome, key feature, user impact.
Tech:
What I work with
Core Skills
- Languages: Python, Java, JavaScript, SQL, C/C++
- Web & Backend: HTML, CSS, Node.js, Express, REST APIs, Google Cloud Platform (API's, JS, SDKs)
- Data & ML: Pandas, NumPy, scikit-learn, TensorFlow
- Core CS: Machine Learning, AI, Data Science, Data Structures, Algorithms, Database Design, Scrum/Agile
Let’s build something
Contact
Open to internships, full-time roles, and meaningful collaborations.