Itamar – AWS, Machine learning, Data analysis

Containerized application featuring frontend and backend services, APIs, GPU acceleration, complex encryption, and a distributed architecture spanning multiple nodes across separate machines.

• Migrated existing systems to secure containerized environments using Docker and Kubernetes;
• Automated existing operational tasks to reduce manual effort;
• Implemented network encryption to maintain compliance with security requirements.

Machine learning solution for detecting cellular defects and potential early indicators of disease through spectrometry and imaging data analysis.

• Analyzed and preprocessed spectrometry and imaging data to prepare datasets for machine learning model development;
• Developed and evaluated multiple machine learning models for preliminary testing and detection of cellular defects and potential early indicators of common diseases;
• Built a multi-model processing pipeline integrating additional tools and models to improve detection accuracy and clarity of results.

AI and machine learning solutions for business and customer-facing applications, spanning customer recognition, automated measurement, internal analytics, recommendation systems, and technical support.

• Developed a containerized technical support chatbot for Shamir Spark devices using FastAPI and a CLI;
• Engineered a retrieval-augmented generation (RAG) system using embeddings and a Chroma vector database to support knowledge-based responses;
• Built a data processing pipeline to consolidate multiple Excel sheets into a master CSV for the chatbot's knowledge base;
• Implemented prompt-injection detection and safety checks to improve the security of chatbot interactions;
• Designed and implemented REST API endpoints for chat, search, and user feedback;
• Developed feedback processing workflows, including sanitization, logging, and automatic generation of rephrased answers;
• Integrated approved user feedback into the Chroma vector store through administrative workflows, supporting continuous knowledge-base improvement.

Accounting platform for businesses featuring automated workflows, customer onboarding, rule-based interfaces, QuickBooks integration, and customizable data imports and exports.

• Designed and implemented a database schema for storing and managing client information;
• Implemented database encryption to protect sensitive financial information;
• Developed an interactive dashboard with graphical visualizations for creating client system outlines;
• Designed and implemented a GraphQL interface to support integration with other systems.