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Tamar S.

GitHub

Bio

A developer with strong self-learning abilities, analytical thinking and problem-solving skills, highly motivated, professionally curious, and driven by a constant desire to learn, grow, and stay up to date.

Skills

Python
Node.js
React
PostgreSQL
Kafka
MinIO
MQTT
Docker
Kubernetes
Prometheus
CI/CD
gRPC
FastAPI
ONNX
TensorFlow
flink
openCV
pyQT6
spark
protobuf
JSON Schemas
pytest

Bootcamp Project

Ground

Sub-project of AgCloud

Ground - Cloud-based platform for agricultural data management and analytics

Vast Data

Mentored by: Vast Data

Mentors:

Renana GrilusOrian Ohayon

Data Science Bootcamp 2025 (Data)

Responsibilities:

  • Schemas & Validation: Built JSON/Protobuf schemas for sensor readings with validation scripts, folder-level checks, and CI integration (GitHub Actions + Spark cleaning job).

  • Graph-Based Background Removal: Implemented classical segmentation for foreground masks and cut-outs, with CLI/API wrapper and post-processing.

  • Disease Anomaly & Worsening Detection: Developed offline pipeline for detecting anomalies and worsening trends in disease data using statistical baselines, Z-score/IQR/CUSUM, alert deduplication, and Postgres logging.

  • Soil Moisture Detection Pipeline: Built real-time CV pipeline (FastAPI + MobileNetV3) for wet/dry classification with threshold-based alerts, Kafka messaging, DLQ retries, and Postgres event logging.

  • End-to-End Integration: Connected full pipeline from MinIO image ingestion → Kafka → Flink processing → inference service → DB updates → PyQt GUI visualization of zones, history, and irrigation status.

  • PyQt GUI: Created interactive map showing all sprinklers, active zones, last images, history, and parameter updates

Tamar S. - Task Preview
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Additional Projects

Course Management System | MERN Stack


Developed a SaaS platform for managing courses with interfaces for admins, teachers, and students, supporting attendance, payments, and dynamic forms. The responsive front-end built with React and Redux Toolkit handles complex state, while the back-end with Node.js and Express provides secure REST APIs with JWT authentication and role-based access control. Data is efficiently modeled in MongoDB for scalability and fast retrieval.

English Level

Working Proficiency