The Lab
Selected work that demonstrates my approach to building systems. Focus on clarity, impact, and technical depth.
Sail Mate
A desktop AI assistant that listens, responds, and automates — runs fully locally.
An Electron-based ML assistant that handles voice input, natural-language commands, and automation workflows without relying on cloud services. Designed for privacy and offline reliability.
Obsyde
A task manager built like a real product — authentication, responsiveness, and deployment included.
A fully deployed full-stack task manager designed with real product constraints in mind. Focused on performance, predictable behavior, and a smooth UI that doesn’t get in your way.
ForgeORM
I wrote my own ORM from scratch — adapters, schema mapping, SQL inference, the whole works.
A modular ORM framework designed to understand what databases really do instead of hiding them. Supports SQLite and Postgres via adapters, type-safe field definitions, and automatic table creation.
What I Actually Do
Beyond frameworks and languages, I focus on solving problems with the right tools and architectural patterns.
Backend & APIs
Designing backend systems that behave — predictable, documented, and extendable without surprises
Django, FastAPI, Node.js
Databases & Data
Thinking in queries, not wishful abstractions — treating data as a first-class system, not an afterthought
PostgreSQL, SQLite, MongoDB
AI & ML
Understanding the math, the code, and the gap between research and products — and building where they meet.
Python, PyTorch, TensorFlow, Scikit-learn
Reliability & Systems
I don’t guess — I measure. Reliability comes from observability, not hope.
Docker, Kubernetes, Grafana
How I Think About Building
I don’t chase trends. I study fundamentals, design systems, and then use the right tools to build something that lasts.
I like understanding why things break, not just patching bugs. Clean architecture, observability, and long-term maintainability matter more to me than short-term hacks.
Outside of code, I think about products, trade-offs, and how tech fits into real human problems — not just benchmarks.
Current
AI & ML Bachelor’s Student
Focus
Backend systems, AI-assisted products
Motto
"If we’re going to do it, we do it properly."