Software Engineering graduate and Vast Data Bootcamp alum specializing in Data Science & Machine Learning. Hands-on experience in both Backend and Frontend development. Strong analytical thinker, creative, highly responsible and adaptive learner.
Air - Cloud-based platform for agricultural data management and analytics

Mentored by: Vast Data
Data Science Bootcamp 2025 (Data)
Responsibilities:
Developed ML/DL models for anomaly and object detection in aerial imagery, including data preprocessing, model evaluation, and real-time inference integration.
Implemented automated detection flows supporting reliable alerting and downstream processing.
Built event-driven microservices in Apache Flink, enabling real-time data streaming, metadata matching, and high-throughput processing across distributed system components.
Built event-driven microservices in Apache Flink, enabling real-time data streaming, metadata matching, and high-throughput processing across distributed system components.
Designed and implemented FastAPI-based backend services in Python, supporting clean APIs, structured data flows, and scalable processing logic.
Designed and deployed a PostgreSQL database with PostGIS extensions for geospatial data management, including optimized schemas for aerial image metadata and spatial operations.
Packaged and deployed a fully containerized multi-service environment using Docker, enabling reproducible builds, modular development, and streamlined local/remote deployment workflows.

Scooter Rental System:
Frontend developed with JavaScript, HTML, CSS, fully integrated with a Node.js backend and SQL database.
• Product management, map-based location display.
• Integrated Google Maps API.
Airline Operations Management System:
Backend system built using .NET Core with SQL database integration and data analysis functionalities.
Working Proficiency