Alpine Intelligence2025 – now
Founder, AI research & product consulting
- Consulting in frontier models and agents for the physical world at VC-backed startups and large companies.
- Led a small team building multi-agent systems that parse structural, environmental, and electrical engineering plans for permit approvals.
- Pretraining, RL post-training, evaluations, and experimentation practice for a foundation model that generates mechanical CAD.
Founding Research Engineer, Semiconductor physics AI unicorn
- Foundation models for physics, validated by over half of the world's top 20 semiconductor companies and in production at three.
- Led pretraining of thermal simulation foundation models for semiconductor design and designed their evaluation benchmarks and red-teaming protocols.
- Built synthetic data pipelines for chip packages and mechanical part geometries.
- Owned a generative model for CAD applied to consumer electronics industrial design, from core modeling through product wrapping.
- Built simulation agents that automate experiment design, simulation setup, and post-analysis for hardware engineering.
Cofounder and CTO, Clinician AI copilot
- Now SanLuca AI. Led technical strategy and the MVP build for a clinician-facing AI copilot.
- Raised a seed round from Define Ventures and SemperVirens.
- Drove the pivot to enterprise healthcare based on market signal.
Director of ML, Legal tech unicorn
- Formerly InCloudCounsel. Employee 12, engineer 4.
- Built the ML function into a 13-person department spanning research, ML engineering, operations, and product.
- Led ML through the Series A (Battery Ventures, 2019) and Series B (Blackstone Growth, 2021).
- Owned end-to-end ML for contract automation products serving 9 of the top 10 private equity firms by assets under management.
ML Engineer, Electrical DNA sequencing
- ML signal-processing models for the first purely electrical DNA sequencing platform, reading single-nucleotide incorporations from CMOS biosensor chips with millions of impedance sensors.
- High-throughput sensor data pipelines and device drivers for chip-to-cloud transfer.
Research Associate, ML and quantum computing
- Machine learning for adiabatic quantum computers: Hopfield networks, Boltzmann machines, and Monte Carlo simulators in Python, C++, MPI, OpenMP, and CUDA.
- Numerical solvers for a quantum programming IDE.
- Two published papers.
Research Associate, Intelligent Robotics Group
- Gaussian process models for adaptive sensor sampling to cut onboard power use on the Planetary Lake Lander.
- HMM-based storm detection from environmental sensor streams.
- Co-author on the mission methodology paper.