An aspiring Software Development Engineer focused on architecting scalable data pipelines, high-concurrency backend services, and robust cloud infrastructures.

• Engineering Philosophy: Prioritizing defensive system design, schema validation, and end-to-end type safety across distributed boundaries.
• Current R&D Focus: Optimizing high-throughput telemetry data streams, mitigating distributed integer/timestamp overflow vectors, and implementing robust multi-tenant data isolation patterns.
• Production Velocity: Actively leveraging AI-assisted development paradigms (Cursor / Copilot) to accelerate delivery lifecycles and automated testing infrastructure.

Languages           Python (Proficient) | TypeScript | JavaScript | Java | SQL | Bash
Frameworks          React.js | Node.js | Spring Boot | Next.js (App Router) | FastAPI
Databases & Infra   PostgreSQL | Redis | MySQL | Amazon DynamoDB
DevOps & Cloud      Amazon AWS (EC2/S3) | Docker | GitHub Actions (CI/CD) | Linux Core

1. Smart Healthcare IoT Data Pipeline & Full-Stack Dashboard MERN / Python / AWS / OpenAI — Ingests and processes asynchronous telemetry streams with a contract-first architecture and a three-tier RBAC framework, utilizing GenAI orchestration layers for hallucination-free reports.

2. High-Concurrency Distributed Order & Settlement Engine Java / Spring Boot 3 / Redis / JMeter — Enforces strict ACID compliance and race-condition elimination via Redisson distributed locking under high-frequency operational loads.

3. Interactive Geo-Spatial Data Visualization Engine Next.js / TypeScript / WebGL / Three.js — A high-performance 3D global telemetric canvas optimizing WebGL rendering pipelines to achieve steady 60fps data-mapping transitions.