Robotics · AI/ML · Software
I build and audit intelligent systems, from robot data pipelines and fault injection rigs to reproducible machine learning research.
I am an AI Robot Operator at Physical Intelligence and Founder & Executive Director of House of Seva. I hold an M.S. in Software Engineering and a B.S. in Computer Science.
Open to full time robotics software, AI/ML, and software engineering opportunities.
Current focus
Reproducible work with the claim, evidence, controls, and limitations kept together.
Tests whether metastable states reported by PCA, TICA, and VAEs reflect the free energy landscape or the number of saved frames. Controlled synthetic landscapes separate sample size effects from exploration deficits; validation uses two independent 100 ns alanine dipeptide trajectories.
Re audits a widely used four class MRI benchmark. Among traceable tumor test images, every patient also appears in training; 216 test images are pixel identical to training images. The release provides recovered patient identifiers and a patient disjoint five fold split.
Rebuilt the study around CIFAR 10 trained models, validation selected checkpoints, attacks in raw pixel space, shared cohorts, norm checks, explicit denominators, confidence intervals, and prediction level reproducibility artifacts. The original near 100% transfer claim is superseded.
A controlled simulation study treating demonstration quality, rather than model architecture, as the independent variable. It compares five failure modes and shows why held out action MSE can misrepresent closed loop policy damage. Current results use a 2D task and three seeds.
Audits published trajectory smoothness curation metrics under episode length controls, finding that they primarily rank operator skill rather than demonstration success.
Studies quantization, pruning, lightweight containers, and specialized runtimes for deploying neural networks on embedded GPUs and CPUs.
Examines the speed, accuracy, memory, and deployment tradeoffs of running coding assistants on consumer hardware.
Build, break, measure
Robotics infrastructure, fault characterization, ML tooling, and production software.
Kubernetes · Redis Streams · PostgreSQL
A multi stage pipeline designed for deliberate pod and network failures, with durable acknowledgements, replay safe writes, health probes, observability, and a chaos harness.
GitHub →
URSim · RTDE · Fault injection
Simulator backed control and synchronized telemetry with reproducible tests for connection failures, stale handles, hangs, and native crashes.
GitHub →
SwiftUI · AVAudioEngine · DSP
A dependency free tinnitus habituation app with real time generated sound enrichment, personalized notch filtering, guided exercises, and progress tracking.
GitHub →
Python · Streamlit · Diagnostics
Robot fleet log analysis with fault classification, recurrence detection, anomaly detection, rule based root cause analysis, and a live health dashboard.
GitHub →
Computer vision · Labelbox · COCO
A data operations workflow for robot arm grasp annotations with bounding boxes, keypoints, failure labels, and automated COCO JSON export.
GitHub →
Python · Docker · MLOps
A library and CLI for packaging machine learning models into portable, optimized Docker inference images.
GitHub →
C++ · PyTorch · Self play
An AlphaZero inspired system combining a C++ bitboard engine, PyTorch neural network, self play training, and a PyGame interface.
GitHub →
OpenAI · React · Node.js · Supabase
An AI resume analyzer with job specific feedback, ATS scoring, skill gap analysis, and PDF export.
Live site →
Python · PubMed · NLP
A biomedical literature tool for searching PubMed, rewriting summaries for different audiences, exporting citations, and generating PDFs.
Live site →
Next.js · TypeScript · WebAssembly
An e commerce workflow with client side STL analysis, Etsy and shipping integrations, automated email, and deployment on Vercel.
Live site →Writing
A three node CAN bus built to induce and diagnose failures that software logs alone cannot explain.
Read on Medium →
Rebuilding the core idea behind GELLO style robot demonstration collection with direct joint space control.
Read on Medium →Timeline
Physical Intelligence · May 2026 to present
House of Seva · June 2026 to present
Handshake AI · April to June 2026
Kaiser Permanente · October 2023 to June 2024
Grand Canyon University · 2024 to 2025
University of Silicon Valley · 2021 to 2023
Toolkit
Robot teleoperation, RTDE, Linux diagnostics, CAN bus, SocketCAN, embedded systems, fault injection, distributed system debugging
PyTorch, computer vision, adversarial ML, dimensionality reduction, statistical evaluation, reproducible experiments, scientific Python
Kubernetes, Docker, Redis Streams, PostgreSQL, observability, CI/CD, chaos engineering, AWS, Vercel
Python, C++, Swift, TypeScript, JavaScript, SQL, React, Next.js, Flask, Node.js, REST APIs