I build software that connects thoughtful product experiences with reliable backend workflows, useful data, and clear operational outcomes. My work spans accounting SaaS, AI-powered applications, data pipelines, analytics, and production-minded web systems.
Currently, I am building LedgerByte, an accounting SaaS foundation for small and growing businesses. It is in controlled beta and user testing, with production hosting, compliance, and provider integrations kept deliberately separate from the current beta scope.
- Full-stack web applications and backend APIs
- AI features using RAG, embeddings, semantic search, and LLM APIs
- Data pipelines, ETL workflows, validation systems, and dashboards
- Cloud-backed products with authentication, storage, and serverless workflows
- Responsive interfaces with strong information architecture and practical motion
- Automation and internal tools that make real workflows easier to operate
| Project | What it demonstrates |
|---|---|
| LedgerByte Accounting SaaS | Next.js, NestJS, Prisma/PostgreSQL, accounting workflows, tenant-aware business systems, testing, and controlled-beta product execution. |
| AskUCP | Flutter/Dart mobile product with Firebase, campus information workflows, RAG, Google Cloud services, mapping, and image analysis integrations. |
| Mental Health Tracker | React/Vite and Node.js application with Google OAuth, SQLite, real-time updates, analytics, data portability, and safety-oriented user flows. |
| Sparse Point Segmentation | PyTorch/DeepLabV3+ experiments exploring sparse supervision, custom loss design, remote-sensing segmentation, and reproducible analysis. |
| DV ETL Internship | PostgreSQL ETL, data cleaning, validation, master-table design, and Looker Studio/Power BI reporting across large raw datasets. |
| Portfolio Website | React 19, TypeScript, Vite, GSAP, Framer Motion, responsive design, structured content, and accessible interaction patterns. |
I build and maintain business software end to end: product workflows, backend services, data behavior, debugging, documentation, self-QA, and user feedback loops. I have also built automation and backend logic that improved operational efficiency in the workflows I supported.
I cleaned and validated reporting datasets, improved data-quality workflows, and built dashboards that made KPIs and operational decisions easier to understand.
I worked across ecommerce systems, funnel and workflow tracking, reporting automation, conversion analytics, and performance/debugging work.
Languages: TypeScript, JavaScript, Python, SQL, Dart, Ruby
Frontend: React, Next.js, Vite, Flutter, Tailwind CSS, responsive UI, component architecture, GSAP, Framer Motion
Backend and cloud: Node.js, NestJS, Django, REST APIs, Firebase, Firestore, Google Cloud Functions, authentication systems, serverless workflows
Data and analytics: PostgreSQL, SQLite, Pandas, NumPy, ETL, data modeling, validation, Power BI, Looker Studio, Excel, data visualization
AI and ML: RAG, embeddings, semantic search, prompt engineering, OpenAI APIs, Google Gemini, PyTorch, computer vision
Engineering practice: Git, GitHub, debugging, self-QA, edge-case validation, documentation, maintainability, reliability, and performance
I like owning a feature from idea to usable software: understand the workflow, build the smallest reliable path, test failure cases, document what is true, and improve it through real feedback. I care about polished interfaces, but I care just as much about the data and operational behavior underneath them.
