Systems Architect on sabbatical, combining 7+ years of backend and Edge AI experience with Business Administration to work on scalable technology systems and op
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Independent Systems Research (Sabbatical)
Data Scientist
June 23, 2026 – Present
zerocloud-edge-mesh
May 3, 2026 – Present
Decentralized edge AI prototype combining Graph Neural Networks (GNN), INT8 quantization, and peer-to-peer gossip synchronization
View ProjectBioGraph-Edge-Quantizer
May 2, 2026 – Present
BioGraph-Edge-Quantizer: A framework for INT8 GNN quantization and FHIR-compliant GraphQL APIs. Optimized for on-device clinical intelligence and biological network analysis.
View Projectsentinel-gnn
March 11, 2026 – Present
Heterogeneous Graph Neural Network for Biosurveillance
View Projectgnn-edge-systems-analysis
February 21, 2026 – Present
Edge-GNN: Constraint-aware graph neural networks for biological interaction modeling under edge deployment constraints (computational oncology, PPI networks).
View Projectagri-edge-ai-platform
February 17, 2026 – Present
A modular, plugin-based AI platform for Precision Farming. Integrates YOLOv8 Computer Vision, IoT sensor telemetry, and GPS-driven historical weather data to provide hyper-local crop diagnostics. Designed for Edge-AI deployment.
View Projecteco-guard-ramsar
February 17, 2026 – Present
Solar-powered Edge-AI for wetland monitoring at Ramsar sites. Integrates physico-chemical sensors with AI-based biological indicator detection.
View Projectoncology-gnn-edge
February 17, 2026 – Present
GNN optimization for Protein Interaction (PPI) analysis in Oncology. Implements normalized graph convolution for stable Edge AI execution on SBC
View Projectmed-guard-anomaly-detection
February 17, 2026 – Present
Edge-based AI for real-time patient monitoring. Implements decentralized anomaly detection (Z-score) on SBCs to bypass cloud latency. Patent-pending architecture.
View Projectlaravel-huggingface-client
November 9, 2024 – November 9, 2024
A Laravel package to integrate with Hugging Face API for text generation, image creation, and other AI-powered tasks. This package provides a simple way to interact with Hugging Face's models, offering robust features such as generating text, creating images from prompts, and handling custom model completions.
View ProjectCultural Fit Analysis
The candidate's project portfolio is highly specialized, focusing almost exclusively on Edge AI, GNNs, and biological/medical applications. While this demonstrates deep expertise in a specific domain, it also suggests a potentially narrow focus. The 'Independent Systems Research (Sabbatical)' role aligns with a self-starter mentality. The diversity of projects within the Edge AI/GNN domain is good, but the overall breadth of exposure to different data science paradigms (e.g., traditional ML, big data, MLOps beyond edge) is not evident. This could be a strong fit for a role specifically requiring Edge AI/GNN expertise but might require adaptation for broader data science roles.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong inclination towards innovative, research-oriented problem-solving, particularly in niche areas like Edge AI and GNNs. The focus on patent-pending architecture and independent research suggests a proactive and self-driven individual. However, without specific psychometric or English test results, it is difficult to assess communication clarity, stress handling, or team collaboration skills directly. The project descriptions are technically dense and clear, suggesting good technical communication.