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Hello! I'm Itay Katav, a passionate PhD candidate in computer science and AI Software Engineer at Red Hat.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
neurosymbolic-ai
May 28, 2026 – Present
Agentic AI demo for Financial Services using neurosymbolic AI (demo by Red Hat and NVIDIA)
View Projectai-driven-network-remediation
April 28, 2026 – Present
AI-driven network operations solution for distributed edge infrastructure.
View Projectmultimodal-compliance-monitor
February 6, 2026 – Present
PPE compliance monitoring app that analyzes live video with a trained model and reports safety violations via a web UI.
View Projectansible-log-analysis
August 18, 2025 – Present
An AI agent for AAP clusters that detects Ansible log errors, suggests step-by-step fixes using cluster-wide logs, and routes issues to the right experts.
View ProjectMCP-Hackathon---Red-Hat-Ticket-Concierge
May 28, 2025 – May 28, 2025
MCP-Hackathon---Red-Hat-Ticket-Concierge — GitHub repository
View ProjectParallelTime
May 22, 2025 – Present
Official Implimitation of ParallelTime: Dynamically Weighting the Balance of Short- and Long-Term Temporal Dependencies. https://www.arxiv.org/abs/2507.13998
View Projectproduct-recommender-system
May 20, 2025 – Present
Red Hat AI quickstart Recommendation System algorithm, for interactions between users and products in an online store.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on AI/ML applications, which aligns well with a Data Scientist role. The diversity of applications (network remediation, recommender systems, compliance monitoring, financial services) suggests adaptability and a broad interest in applying AI to different domains. However, the lack of formal work experience or team-based projects makes it difficult to assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a strong technical focus, but there is no information regarding collaboration, problem-solving approach, or communication style in a team setting.