Highly motivated, with strong independent learning skills and sharp analytical thinking. Possesses clear, logical, and creative reasoning, alongside accuracy and effective problem- solving abilities for complex challenges. Strong rhetorical and explanatory skills combined with excellent interpersonal communication. Responsible, disciplined, and committed to continuous growth and excellence.
Fruit - Cloud-based platform for agricultural data management and analytics

Mentored by: Vast Data
Data Science Bootcamp 2025 (Data)
Responsibilities:
Designed and specified end-to-end data pipelines, including PostgreSQL schema design, embedding management with pgvector, and data flow across Kafka, Flink, and Airflow.
Developed a full image-processing pipeline: fruit detection with YOLO, crop extraction, classification using MobileNetV3 / ResNet, aggregation, and generation of ripeness metrics and data-driven alerts.
Built a real-time defect-detection pipeline using Flink, including data routing, model processing, and real-time output generation.
Developed API services in FastAPI to serve ML models, pipelines, and data/metrics access.
Implemented an advanced monitoring stack, including Grafana dashboards, custom Prometheus metrics, and system/model performance visualization.
Set up local development and runtime environments using Docker and Docker Compose, including Dockerfile creation and full environment orchestration.
Developed automated tests (Unit and E2E) ensuring data-flow reliability across all system components.

Full E2E Language-Learning Web Application
Implemented file uploads, user management, and JWT authentication Built an interactive UI and progress-tracking system
E-Commerce Platform (WebAPI)
Achieved 100% automated test coverage
Fluent