Technical Projects
AI systems, semantic memory infrastructure, and research tools built at the intersection of neuroscience, knowledge graphs, and human-centric design.
Scientific Reasoning Engine
A 32-billion parameter AI model trained on 100+ landmark scientific papers using knowledge graphs and reinforcement learning. Follows logical chains, grounds claims in evidence, and synthesizes contradictory findings across physics, biology, neuroscience, and philosophy.
MatSyn — AI4Science Hackathon Winner
Second prize at AGI House's AI4Science Hackathon. Built an AI agent that suggests synthesis routes for novel compounds using a self-improving agentic knowledge graph—completed in six hours with a cross-disciplinary team.
UN Knowledge Graph
Comprehensive queryable system tracking 30 years of UN diplomatic history with sub-second search across 61,505 speeches, 12,481 resolutions, and 1.68 million votes from 184 countries using hybrid vector and graph architecture.
Elys Live · Context Architect
Integrated empathic voice interfaces with dynamic psychological profiling to deliver emotionally aware AI companions that progress relationships over time.
Greywar Timeline
Interactive evidence-based timeline tracking 124+ documented events across global geopolitical tensions, domestic infrastructure incidents, and observational micro-anomalies. Features sophisticated filtering with five interpretive archetype lenses for thematic exploration.
MCP Neo4j Server · Open Source
Created a semantic graph memory layer for language models, enabling long-term, relationship-aware context recall inspired by cognitive neuroscience.
Hard Research · Orchestrated AI Analysis
Built a research assistant that coordinates multiple AI models for deep synthesis, real-time progress tracking, and publication-ready briefings.