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Leah M.
Bio
Software developer specializing in artificial intelligence, with strong analytical thinking, independent learning, high performance under pressure, and responsibility. Motivated to lead innovative AI solutions.
Skills
Python
PostgreSQL
Kafka
MinIO
MQTT
Docker
Grafana
Prometheus
FastAPI
pgVector
FLINK
Bootcamp Project
Fruit - Cloud-based platform for agricultural data management and analytics
Mentored by: Vast Data
Data Science Bootcamp 2025 (Data)
Responsibilities:
Integrated all core system components (PostgreSQL, MinIO, Kafka, Prometheus, Grafana, MQTT, and GUI) into a coordinated Docker Compose environment, ensuring a fully synchronized and operational system stack.lessly.
YOLO Image Processing: Implemented a pipeline to fetch images from cameras to MinIO, applied the YOLO model to detect and crop images of cows, and stored both cropped images in MinIO and related metadata in PostgreSQL.
Automated Alerts: Processed summary tables of cow maturity data weekly, and automatically sent alerts via MQTT when predefined thresholds were exceeded, notifying relevant systems in real time.
Prometheus Monitoring & Grafana Dashboard: Collected cow maturity and disease metrics using Prometheus, then built a Grafana dashboard to visualize disease and maturity data in real time, including camera-specific statistics.
Server Maintenance and Updates: Maintained the server, ensuring it was regularly updated with Git repositories and new versions of components, keeping the system reliable and up-to-date.
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Additional Projects
"A platform that offers personalized movies for each viewer using AI, based on their tastes and preferences."
English Level
Fluent