A showcase of my work and technical expertise
A production-grade monitoring and autoscaling stack built entirely from scratch , no Helm charts, no shortcuts. The system collects custom application metrics from a Go service, stores them in Prometheus, and uses a custom-written autoscaler controller to make intelligent scaling decisions based on real application behavior - not just CPU and memory.
A real-time monitoring system in Go using client-go to track Kubernetes pod resource requests. A background goroutine collects metrics every 10 seconds, storing historical data in PostgreSQL via GORM for cost estimation and analysis.
Building a production-grade data pipeline that ingests, processes, and forecasts financial time-series data for 10 global stocks. The system runs automated daily predictions and portfolio rebalancing. The challenge: Financial APIs are unreliable, data needs cleaning, models need retraining, and everything must run on a schedule without manual intervention.
This project shows how to design and build a resilient, multi-region AWS infrastructure using Terraform. The setup follows a Warm Standby (Active-Passive) model, acting as the base layer for a proper Disaster Recovery (DR) platform.
A fully automated CI/CD pipeline using GitHub Actions to build, test, and deploy a containerized application. The pipeline leverages Docker for containerization and Terraform to provision and manage the target AWS EC2 infrastructure.
Novara Bookstore is a full-stack marketplace built with React, TypeScript, and Express. It features buyer and seller dashboards, a blog platform, and a smooth, type-safe user experience. Born from a learning journey, it showcases clean UI, secure authentication, and modern web development best practices.
This is a console-based train booking system made in Java from scratch. I started building this project while learning Java itself so this app became my way of learning the language, exploring concepts like object-oriented programming, file handling, and basic service structures.
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