Analytical, detail-oriented Developer. A rapid self-learner, quickly adopting new technologies. Works thoroughly and responsibly, confidently managing challenging assignments with a focus on timely, high-quality execution. Excellent interpersonal skills and patience.
Sensors - Cloud-based platform for agricultural data management and analytics

Mentored by: Vast Data
Data Science Bootcamp 2025 (Data)
Responsibilities:
Deployed a fully compatible MINIO (AWS S3) object-storage server within a Dockerized environment, enabling scalable and consistent storage operations for internal data services.
Built a real-time sensor integrity and anomaly-detection pipeline using Apache Flink, integrated with Apache Kafka to process high-throughput streaming data and provide continuous monitoring and operational insights.
Developed a generic, schema-aware API microservice in Python, providing secure CRUD access over authorized database tables, with support for dynamic filtering and reusable data-access logic.
Developed a dynamic GUI dashboard for real-time sensor visualization using PyQt6 and pyqtgraph, featuring interactive charts, auto-refresh, and structured alert reporting.

Building Management System (HOA Management Platform)
Built the server side with Node.js, Express, and MongoDB, implementing JWT authentication, and email notifications, while managing development with Git.
Developed the client side using React, Redux, and PrimeReact, creating dashboards and workflows for building management.
Working Proficiency