Nechama N.

Bio

Software developer with experience in development, data, and machine learning, strong selflearning skills, excellent time management, analytical thinking, and technological curiosity.

Skills

Python

.NET

Docker

RabbitMQ

gRPC

ONNX

CUDA

TensorFlow

PyTorch

Captum

Quantus

SQLite

Github

Bootcamp Project

AIExpInfra

Framework and application for evaluating explainability methods in CV

Mentored by: Applied Materials

Mentors:

Hadassah HeberOdeliah Movadat

Data Science Bootcamp 2025 (Data)

Responsibilities:

Designed and implemented a unified Python framework for evaluating explainability metrics across classification, regression, segmentation, and detection models.
Standardized heterogeneous model outputs to enable consistent Quantus-based XAI evaluation.
Built a Factory–Registry adapter layer that auto-detects and loads TensorFlow, PyTorch, and ONNX models with a unified prediction/gradient API.
Developed detection wrappers (YOLO, Faster-RCNN, RetinaNet) that convert bounding boxes into scalar targets compatible with gradient-based XAI.
Upgraded legacy TensorFlow SavedModels to TF 2.19 to restore gradient flow for Integrated Gradients and CAM-based methods.
Integrated proprietary Applied Materials models and internal explainers into the unified evaluation pipeline.
Implemented a preprocessing/normalization pipeline for multi-channel SEM and Topography TIFF datasets while preserving gradient paths.
Added support for both single-image and site-level evaluation modes with consistent preprocessing semantics.
Built an automated metric-execution engine for running explainers and computing faithfulness, robustness, localisation, complexity and axiomatic metrics.
Generated automated radar-plot summaries and streamed progress/results through the backend job-runner architecture.

Click to enlarge

Additional Projects

Monitoring & Notification System (ExtraTech - Practicum)

A Python-based monitoring and alert-management system for server infrastructure, developed using Agile

methodology.

 Implemented backend logic with SQLAlchemy models, repositories, and services for metrics, alerts,

and backup flows.

 Built a PyQt6 dashboard with login, filtering tools, alert tables, and interactive pop-up notifications.

 Designed alert-handling pipelines: severity tagging, status updates, and retrieval of past resolutions.

 Developed automated backup modules (DB, disk, ZIP compression, cleanup) with structured logging.

 Integrated RabbitMQ with producer/consumer workers for asynchronous event processing.

Music Streaming Platform (Academic Project)

 Developed a .NET 6 Web API with EF Core for songs, singers, playlists, and user activity.

 Built a React + Redux client with protected routes, filtering, and media playback.

 Added JWT auth, Elasticsearch search, and Azure Speech-to-Text audio lookup.

English Level

Working Proficiency