Systems-focused developer exploring AI/ML, cloud-native infrastructure, and scalable backend architectures.
Currently building and experimenting with Docker, Kubernetes, agentic AI systems, and distributed backend services.
A multi-tenant restaurant platform where guests order table-side by scanning a QR code — no app, no aggregator. Three coordinated services: an Express/Socket.IO API with OTP auth and a strict order state machine, a Next.js admin dashboard with a live Kitchen Display System, and an offline-capable guest PWA. Features dynamic Redis-cached RBAC, real-time order flow, and Tally GST + Porter delivery integrations. Built with TypeScript, Express, Next.js, Prisma, PostgreSQL, Redis, Socket.IO, and BullMQ.
Hands-on experiments with Docker, Kubernetes, and modern DevOps tooling to understand cloud-native infrastructure.
Exploring concepts behind algorithmic and high-frequency trading systems through data analysis and experimentation.
Full-stack academic project focused on financial data visualization and analysis.
A comprehensive GRE vocabulary learning application with a MySQL backend, AI-powered chat, file change detection, and manual word management features.
Lightweight conversational AI playground for testing multi-turn agent workflows, tool integrations, and streaming chat UX.
A GitHub App that auto-reviews pull requests with Claude across security, performance, and maintainability. Built with NestJS, BullMQ, Redis, and PostgreSQL.
Building and maintaining operational software including payroll tools, automation systems, and internal dashboards.
Small exploratory projects focused on backend architecture, automation, and system design.
- Cloud-native architecture
- Kubernetes orchestration
- Agentic AI workflows
- Scalable backend system design
Collaborating with friends through two GitHub organizations:
- Open-source organization — experimental projects and shared tools
- Private organization — production systems and internal applications
