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Ayala Y.
Bio
✓ Experience in developing E2E including design and implementation ✓ Strong proficiency in Python, with hands-on experience in AI/ML and LLM-based applications ✓ Proven experience in coding on: C#, TS, React, Angular, SQL Server ✓ Excellent knowledge in: C, C++, Java, Node.js, JS, CSS, React Native, MongoDB, MySQL ✓ Experience with cloud platforms (AWS), REST APIs, and Docker deployment ✓ High self-learning ability, professional and can-do approach, responsibility, and excellent interpersonal skills
Skills
Python
.NET
React
TypeScript
PostgreSQL
Docker
Grafana
Prometheus
FastAPI
ONNX
PyTorch
Bootcamp Project
Fruit - Cloud-based platform for agricultural data management and analytics
Mentored by: Vast Data
Data Science Bootcamp 2025 (Data)
Responsibilities:
threshold Ripeness Baseline (Python, NumPy) generating ripe/unripe/overripe classifications, weekly rollups, and safety quality-flags for low-confidence predictions. Trained and fine-tuned a MobileNetV3 model (PyTorch) on orchard imagery, including inference pipeline, evaluation metrics (Accuracy, Recall, ROC, Confusion Matrix), and model validation for field conditions.
Developed and deployed a FastAPI inference microservice exposing the ripeness model for periodic batch evaluations and integrated the service into the platform’s Airflow DAGs for scheduled processing.
Implemented a custom Prometheus Exporter in Python for PostgreSQL/pgstatstatements, exposing metrics such as pgvectorquerylatencyms, hnswcachehitratio, and disk usage, and built the “Vector Overview” Grafana dashboard used across teams for monitoring performance and index behavior.
Built a complete Prometheus Docker image including configuration, local runtime fixes, and team-wide metrics onboarding support.
Designed and implemented an interactive Field Visualization GUI enabling map-based device exploration, image browsing per device, and visualization of ripeness predictions for every captured image.
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Additional Projects
2025 | Smart document management platform
• Developing a smart document management platform, including a user management platform.
• Using .NET Core, React 19, Redux, MySQL, Render, Python, Angular
• Integrated OpenAI API (LLM) with Pinecone vector search to implement intelligent semantic search
• Integration with AWS cloud storage S3, Authentication and authorization with Google API, and JWTs
• Deployed server-side to Render by Docker using Dockerfile and auto-deployment to the cloud.
English Level
Fluent