* Open to the right opportunities fulltime or contract in machine learning.* Contributed technical leadership to Open Insulin Foundation, which seeks to develop and release an open-source tool-chain for insulin, thereby drastically reducing the cost of all insulin* Collaborated with White House leadership at DEF CON security conference and with OpenAI and Scale.AI to deliver the first major public red-teaming of foundational models* Developed cloud infrastructure to secure LLM red teaming contest.* Conducted a comprehensive analysis of the ML flow within the CI/CD pipeline and AI stack, uncovering vulnerabilities and implementing critical security enhancements.* Diagnosed and resolved user-reported anomalies, leading the design and execution of an optimized machine learning pipeline that improved alarm silencing by 25% and anomaly detection by 40%.* Engineered and deployed a robust edge computing stack for machine learning applications, focusing on scalability and real-time data processing, which resulted in a 15% increase in system performance.* Pioneered key infrastructure improvements for machine learning, including version control and code quality, which streamlined deployment cycles and enhanced visibility across teams.* Troubleshot and resolved high-impact, complex issues in machine learning pipelines, leading to a 20% reduction in operational errors and contributing directly to achieving business objectives.

I realized I needed to get better at technical interviews so I could be competitive with some of the offers I was getting. I identified that a mentor would help so I found someone at Google to gain some perspective on what to do. * Understood technical interviews* How to do well on technical problems* Learned patterns for interview questions

* Led the organization's pivot to machine learning on AR, implementing a state-of-the-art machine learning NERF and DVR for converting images into 3D objects using 3D computer vision.* Designed and developed tools for visualizing large-scale datasets, integrating industry-standard 3D libraries with Python, AWS, and model compression with GLTF and USDZ.* Supported decision makers by identifying new customers and products in the AR/VR domain.*Pioneered a new use case for machine learning, machine learning, and complex optimization with Python for simplifying 3D generation onto mobile AR/VR platform.* Designed and deployed a cross-cloud machine learning pipeline in AWS, Azure, and containers, collaborating with a diverse team of executives, product managers, software engineers, and artists.* Built machine learning workflow integrating human in the loop, cloud storage, complex file-type conversion, and automated cloud agent.

* Collaborated with data science teams to plan and deploy infrastructure in AWS Lambda using Python.* Developed and implemented computer vision filters in TensorFlow to curate selection, improving conversion by 10%.* Engineered core business logic, machine learning: text to video architecture on AWS and GCP.* Maintained familiarity with the latest machine learning research as the field progressed.* Created and integrated NLP models using Gensim, NLTK, and SpaCy.

* With data analysis and C reverse engineered and developed firmware for a third-party display system* Developed custom ground control instrumentation at superior cost basis C/C++/ATMEGA 2650

* Independent planning to build payload and outreach to develop lab experiment * With Python developed autonomous agent to handle control signals

* Developed command system architecture for experimental KA-band radio* Coordinated subsystem team to meet requirements by lab head/chief engineer* Programmed command system for experimental satellite radio in Python

* Authored early communication strategy for recruiting/branding material* Founded recruiting and outreach practices for the organization

* Designed distributed artificial intelligence platform for AR* Communicated engineering plans to leadership

* Responsible for securely accessing client industrial systems to verify bugfixes* C++ IoT development; Identified and eliminated 80 bugs within control software

* Researched algorithmic bias, medical implant safety, and cell-tower interceptors