
Building Nous Ergon, a suite of agentic tools, including Crucible, an experiment harness for financial systems.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
morning-signal
April 13, 2026 – Present
Open-source, self-hostable daily briefing podcast — Claude with web search writes it, Polly or Google Chirp3 TTS voices it, and it publishes an RSS feed you subscribe to in any podcast app. Runs on your own Anthropic + AWS/GCP keys, no platform lock-in. pip install morning-signal.
View Projectcrucible-predictor
March 10, 2026 – Present
Nous Ergon — LightGBM predictor: 21-day market-relative alpha forecasts, walk-forward validation, veto gate
View Projectcrucible-dashboard
March 9, 2026 – Present
Nous Ergon — read-only Streamlit dashboard: portfolio performance, signal quality, research theses, GBM predictions
View Projectcrucible-executor
March 2, 2026 – Present
Nous Ergon — a harness for rigorous AI/ML experiments in finance: multi-agent research, ML prediction, risk-gated execution, and a self-tuning backtester on AWS
View Projectrecommender_system
June 9, 2018 – August 7, 2018
A music recommender system based on data from last.fm.
View Projectstreet_team_optimize
April 7, 2018 – April 7, 2018
Analyze NYC MTA subway and demographic data to optimize street team deployment.
View Projectbitcoin_prediction
April 7, 2018 – November 3, 2018
Predict the price of bitcoin through linear regression.
View ProjectAI_Jukebox
April 3, 2018 – April 8, 2018
Music generator utilizing a Bidirectional LSTM architecture in Keras.
View ProjectMcMahon_Metis
January 16, 2018 – April 7, 2018
Work compiled during Metis' Data Science Bootcamp, Winter 2018.
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and academic, indicating a strong interest in self-driven learning and exploration within data science. However, the lack of team-based or professional experience makes it difficult to assess cultural fit in a collaborative work environment. The projects are diverse within the data science domain, but there's no indication of broader organizational or business acumen.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on technical execution.