Hi! My name is Lucas. I recently graduated from NYU Tandon School of Engineering studying Computer Science and Math. I have broad ranging interests
within Computer Science, most significantly including Embedded Machine Learning. Big fan of teaching, cooking, and small critters.
Me with a little baby highland cow. Quality of life for all animals is a passion of mine.
| Experience | Description |
|---|---|
| AI/ML Research Intern (HashedTokens) | Worked on implementing feature importance algorithms to enhance model interpretability. Designed and built debugging tools to identify and resolve issues in complex neural architectures |
| Head Computer Science Teaching Assistant (NYU) | Oversee Python instruction for a class of 140 students, including helping to develop the curriculum, as well as coordinate Office Hours and Labs Conducted administrative work relating to conducting interviews and the hiring of personnel for the NYU Tandon Computer Science department |
| Computer Science Teaching Assistant (NYU) | Facilitate undergraduate lab sessions, providing instructional support and clarifying programming concepts, and conduct office hours to resolve diverse programming queries |
I recently obtained a Wadix Technologies Certification in
Embedded Machine Learning for ARM Ethos NPU based systems, which represent some of the most popular machine learning architectures for small devices
Credential ID: 4a186c2a9b5146fda0141dfccbcb5f0a
I hold the Amazon Web Services Associate Certification
Credential ID: 4a186c2a9b5146fda0141dfccbcb5f0a
I have made significant contributions to the Math.JS library, which involved
writing test cases, developing functionality, and ensuring code coverage.
I have been working on projects in the fields of Embedded Software, Machine Learning, as well as Signals processing.
Developed a surround sound speaker system that leverages a Raspberry Pi for bluetooth connectivity, the TinyUSB framework for connection to a Raspberry Pi Pico 2 (RP2350), and bespoke signal processing and channel distribution software from the Pico to multiple speakers
| Language/Framework | Use |
|---|---|
| C/C++ | Used for optimized direct memory access and signal processing |
| Raspberry Pi PIO Assembly | Used for low level bespoke communication protocols with speakers |
Developed an innovative build system with pseudo C/C++ syntax, enabling direct compilation rather than parsing
Engineered a ninja-like tool that leverages familiar C/C++ constructs for improved performance and developer experience
| Language/Framework | Use |
|---|---|
| C/C++ | Used for optimized low level programming |
A basic turing complete language that supports simple mathmatics, boolean logic, and conditional jumps. Written in an English emphasized style for ease of learning
| Language/Framework | Use |
|---|---|
| C++ | Compiler written in C++ |
| X86 Assembly | Used for speed |
My actual dog Maya !!! (5 years old)