Experienced AI Engineer and Data Scientist with a strong background in machine learning, natural language processing, and data analytics. My interdisciplinary interests extend to classics, philosophy, and music.
The AI platform for human intelligence.
Researching Minds, Machines & Intelligence, focusing on Deep Learning/Artificial Intelligence Conceptual Spaces, AI Philosophy, and Consciousness Science.
Architecting and implementing cutting-edge Large Language Models and AI systems.
Teaching foundational ethics and philosophy in computer & data science, with a focus on AI governance and emerging technology challenges.
Spearheaded data science initiatives, focusing on predictive modeling, data pipeline engineering, and NLP implementations.
Leading technical initiatives and strategic planning for an international non-profit organization.
Conducted complex statistical analyses using Python, uncovering key insights that shaped the direction of multiple research projects.
Developed data-driven reports for the VP & CEO, highlighting key findings from extensive data mining efforts.
Applied advanced data science techniques to real-world projects, including time series forecasting and geospatial analysis.
Architected and implemented a responsive web platform, driving a 20% increase in user engagement and online visibility.
Our AI Match Score combines resume analysis, structured interviews, and role-specific evaluations to outperform traditional screening by 16% (AUC: 0.742 vs. 0.641). It surfaces nearly twice as many qualified candidates, capturing unique potential signals beyond what resumes reveal.
This philosophical exploration traces imagination's evolution from Plato's Forms through medieval theology to modern fragmentation, examining whether AI can truly simulate human creativity. It argues that imagination remains humanity's essential faculty for synthesizing meaning from chaos, even as machines attempt to replicate creation.
We present a large-scale empirical comparison of speech-to-text, LLM, and text-to-speech combinations using data from over 300,000 AI-conducted job interviews. Our analysis reveals that Google's STT with GPT-4.1 and Cartesia's TTS outperforms alternatives in both objective quality metrics and user satisfaction scores.
A cross-lingual transformer model measuring semantic relationships between ancient Greek and Latin lexicons, revealing significant alignments in philosophical concepts.
We introduce Abliterator, a framework for studying and manipulating personality traits in large language models (LLMs) through activation engineering.
📚 AI-powered Latin language learning platform with intelligent grammar analysis, real-time tutoring, and interactive annotations.
🎨 AI-powered personal stylist that analyzes selfies to provide personalized color palettes and style guidance for different seasons.
🔍 An interactive web application for etymological analysis that breaks down words into their morphological components.
🔬 Open-source framework for manipulating personality traits in Large Language Models through activation engineering.
📚 Comprehensive digital repository of scholarly resources for Classical Greek learning, used by academic institutions worldwide.
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