SVC · 01
Measurement & job architecture
SIOP job analysis, competency models, leveling — the spec your models should follow.
Taxonomies · rubrics · automation-readiness scores · HRBP/legal docs
MLOps and neural networks for people analytics — built so leadership can make workforce decisions backed by real data, not gut feel.
Applied Machine Learning Engineer focused on people analytics and workforce strategy. People Research Scientist at Meta. M.S. I-O (SJSU), B.S. Psychology (CofC). Agents since Nov '22; neural nets on comp and attrition at Aon before that. Some consulting on the side.
Usually three teams: I-O writes the rubric, data science trains the model, MLOps ships and monitors it in production. I do all three, which matters when the work has to hang together.
Fixed scope. Running code and documentation, not a strategy deck.
SVC · 01
SIOP job analysis, competency models, leveling — the spec your models should follow.
Taxonomies · rubrics · automation-readiness scores · HRBP/legal docs
SVC · 02
Ontology design, validation protocols, match-rate benchmarks.
Validation studies · governance rules · mobility integrations
SVC · 03
Multi-step workflows for people research — taxonomies, evidence, eval loops. In production since Nov '22.
Agent specs · eval harnesses · human review gates · tool contracts
SVC · 04
Neural nets or classical ML, shipped and monitored in production — training pipelines, Python/SQL backends, React/Next if analysts need a UI.
Models · training pipelines · monitoring · analyst UIs · PyTorch / Spark
Problem, stakeholders, data on hand, what done means for legal and the business.
Read what you have, talk to users, write up gaps. Fixed fee.
Weekly checkpoints. Methods written down.
Artifacts, replication notes, walkthrough with your team.
From full-time roles building people analytics and workforce strategy systems. Same work I take on contract.
Nov '22
Agent systems for people research
1,227
Roles in job architecture platform
96%
Skills inference match rate
200+
Research workflows
Public GitHub. Side projects and prototypes. Mobile-first, zero tracking, era-honest.
Daily NBA chimera puzzle — 12k player-seasons, era-honest stats, six ranked modes. Mobile-first fluid UI.
World Cup chimera — 633 tournaments, per-90 z-scores, attack+duel fusion. Same MTNN pattern, dark pitch theme.
Your fantasy season, on rails — ESPN/Sleeper sync, model-backed start/sit, waiver & trade calls grounded in NFL embeddings. Mobile-first cockpit.
Public companies as vectors — SEC EDGAR XBRL 2741 FYs, 283 tickers, 17 towers, 64-d transformer MTNN val 88.2% test 86.2% CQS 0.635. Same pattern as Hoops/Pitch/Gridiron.
Knowledge Graphs for AI coding assistants — light public map (250 nodes / 179 edges, ~75KB) covering Ava + Scout + Vector. Full private graph for agents; SOTA task compiler + impact + MCP.
A live Human Design chart tool, not just a write-up — full Type/Authority/Profile, an interactive bodygraph, relationship compatibility, all computed client-side with orbital math verified against real astronomical events.
Describe the problem — people analytics, workforce strategy, MLOps, or model-building — and I'll tell you if it's a fit.
Select projects · NDA ok · Austin or remote