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AI Researcher & Engineer 🚀 PhD Candidate. Specialized in Representation Learning & Dimensionality Reduction.
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
zotero-serverless
December 25, 2025 – December 26, 2025
This repository provides a complete, ready-to-deploy solution for hosting your own Zotero synchronization server on Microsoft Azure.
View ProjectKernelEmbedding
August 20, 2025 – Present
Reconstruction-based manifold learning in Reproducing Kernel Hilbert Spaces (RKHS) via the Representer Theorem and kernel alignment for interpretable embeddings.
View ProjectCloudHoneyNet
April 16, 2025 – Present
Scalable, cloud-native honeypot infrastructure for distributed cyber-threat telemetry collection on Microsoft Azure built with T-Pot CE, automated via Infrastructure-as-Code, and designed for reproducible network-security research.
View ProjectPPGfold
July 9, 2024 – October 30, 2025
Manifold learning methods (Autoencoders, UMAP, FCNNs) for analyzing and characterizing Photoplethysmographic (PPG) signals across multiple biomedical datasets.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and research-oriented, demonstrating strong self-motivation and initiative. The diversity of projects (manifold learning, cybersecurity, serverless infrastructure) suggests a broad intellectual curiosity. However, without information on team-based projects or professional experience, it is difficult to fully assess cultural fit within a collaborative corporate environment. The focus on personal projects might indicate a preference for independent work, which may or may not align with specific team cultures.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear and technically focused, but no direct assessment of collaboration, communication, or problem-solving in a team context is available.