CS + BUSINESS @ MSU
I build backend systems, data pipelines, and AI-enabled tools for messy real-world business data. I’m a Resident Assistant at Michigan State University studying computer science and business, with a focus on infrastructure, analytics, and practical software.
About
Music content creator
Work
Technical and leadership roles across data systems, consulting, student organizations, and residential life.
Tesla
Built Residential Energy analytics, automation, and AI systems spanning entity resolution, migrating a fragile Excel-based sales workflow into a launched Power Apps CRM, executive-facing analytics, and GenAI workflow agents for Sales Ops.
EY
Supported a $13M enterprise migration by validating 10K+ records, automating SQL Server checks, assisting Azure Blob Storage migration, and triaging defects in Azure DevOps.
SpartaHack
Help lead planning and execution for MSU's 600+ attendee student-run hackathon, coordinating event operations, team execution, logistics, and the overall hacker experience.
International Students Association
Lead technical planning for ISA's centralized affiliate platform, website infrastructure, internal tooling, and workflow improvements for student organization operations.
The Global Career Accelerator
Analyzed 30M+ engagement records, evaluated Grammy.com KPIs, designed 95% confidence A/B tests, built SQL/Tableau dashboards, and modeled regional energy readiness for Intel-sponsored data center analysis.
Michigan State University
Support 80+ residents through communication, conflict management, community programming, crisis response, and consistent people-facing ownership.
Education
The academic foundation behind my work in software, data, and business systems.
Michigan State University
Maintaining a 3.95 GPA while studying computer science, business, artificial intelligence, big data analysis, cloud development, and data structures.
Selected Builds
Selected work across machine learning, backend systems, internal tools, and interactive software.
A Streamlit/PostgreSQL market intelligence platform combining explainable opportunity scoring, peer-relative valuation, catalyst analysis, and investment thesis tracking.
AI infrastructure research was scattered across market data, SEC filings, news, catalysts, watchlists, and investment notes, making it difficult to evaluate companies and themes consistently.
Built scheduled ingestion pipelines and a 33-table PostgreSQL data model supporting company research, peer-relative valuation, bull/bear thesis tracking, catalyst impact analysis, thematic indices, and historically tested opportunity scores.
Created a portfolio-grade decision-support platform tracking 53 companies, with daily user feedback, explainable scoring, 5D/20D/60D signal backtests, and analysis of earnings and SEC-filing reactions.
An MHacks-winning Streamlit platform for optimal nitrogen prediction, crop yield projection, and farmer-facing soil resources.
Farmers need more personalized guidance around soil health, fertilizer use, and crop selection, especially when fertilizer costs and overuse create practical and environmental tradeoffs.
Worked on the Streamlit frontend and ML models, using crop and soil datasets with temperature, humidity, pH, rainfall, crop weight, moisture, crop type, and harvested area features.
Won Best Sustainability Track at MHacks 2024 with a 24-hour prototype for nitrogen recommendations, crop yield comparison, and farmer resource access.
A Dockerized Flask microservices backend for a food marketplace, with REST APIs, JWT authentication, SQLite, and service orchestration.
A distributed marketplace backend needs clear service boundaries for authentication, orders, search, logging, and product management.
Built 5 Flask microservices with REST endpoints, JWT-based authentication, SQLite persistence, Docker Compose networking, and separated transaction workflows.
Created a cloud-deployment-ready backend foundation that strengthened service orchestration, authentication, and reusable architecture patterns.
A working full-stack platform for the ISA to manage affiliates, event registration, attendance, and funding requests.
ISA needs a more structured way to manage affiliate organizations, track participation, and handle funding request workflows.
Leading technical development for a Next.js and Supabase system with public event flows, affiliate-facing views, admin workflows, attendance tracking, and funding request management.
Established a working implementation with responsive browser verification, local-only seed/bootstrap separation, and production preflight checks; hosted-service setup and release verification remain.
A PyTorch computer vision project that fine-tuned AlexNet to classify a 17-class celebrity face dataset.
Image classification models need to distinguish between visually similar faces while handling variation in lighting, pose, and image quality.
Fine-tuned an AlexNet-based model using transfer learning, data augmentation, dropout regularization, k-fold cross-validation, and confusion-matrix error analysis.
Reached 57.35% accuracy on a high intra-class similarity dataset while building a clearer understanding of model validation and error inspection.
A sustainability analytics project evaluating regional energy readiness for potential data center expansion.
Data center expansion creates significant energy demand, so site-selection decisions need to account for regional capacity, renewable mix, and long-term grid readiness.
Modeled regional energy availability and renewable capacity, then built Tableau visualizations to compare five U.S. regions under sustainability constraints.
Ranked U.S. regions for data center readiness and translated energy data into scenario-driven infrastructure recommendations.
Skills
Tools and skills grouped by how I use them.
Python, SQL, PostgreSQL, SQLAlchemy, ETL Pipelines, Data Validation, Entity Resolution, GitHub Actions
Pandas, NumPy, Power BI, Tableau, Excel, KPI Design, A/B Testing, Reporting Systems
GenAI Workflows, scikit-learn, PyTorch, Random Forest, Transfer Learning, Computer Vision, Model Evaluation, Feature Engineering
JavaScript, C/C++, Azure, Docker, Docker Compose, REST APIs, Flask, CI/CD, Git
Contact
Reach out about software, data, AI projects, sustainability, internships, or collaborations.