Software Engineering

Data Science,Artificial Intelligence,Machine Learning,Python,Automation,Test Infrastructure

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Professional Experience

Building software solutions in enterprise and project settings

Joby Aviation

Software Engineer | Employee #364

Nearly 2 years of internship + almost 3 years of full-time employment

I've had the unique opportunity to experience firsthand the transformation of Joby Aviation from a small agile startup to an emerging multi-billion dollar company with over 3,000 employees and operations in Germany, China, Dubai, and California.

Throughout my tenure, I've received a promotion every review cycle, reflecting my commitment to growth and impact. My work focuses on:

  • FAA DO-178C Certification Processes: Ensuring software meets rigorous aviation safety standards
  • Software Verification Test Infrastructure: Building robust testing frameworks and automation
  • Data Science & AI: Applying machine learning and data science techniques to solve complex problems
  • Automation: Creating tools and processes that enable teams to work more efficiently
  • Python, Databricks, SQL, Docker: Leveraging modern tools and technologies

I'm particularly passionate about being proactive in finding opportunities to enable those I work with to be more efficient, whether through automation, better tooling, or improved processes.

Technical Skills

Technologies and methodologies I work with

Programming Languages

Python (Expert), SQL, and experience with embedded systems programming

Data Science & AI

Machine Learning, Artificial Intelligence, Data Analysis, Databricks

DevOps & Tools

Docker, Automation, Test Infrastructure, CI/CD

Certification & Standards

FAA DO-178C Certification Processes, Software Verification

Embedded Systems

Educational background in embedded engineering

Collaboration

Agile methodologies, cross-functional teamwork, process improvement

Education

Academic foundation in engineering and machine learning

University of California, Santa Cruz

Bachelor's Degree | Embedded Engineering & Machine Learning

My undergraduate education at UC Santa Cruz provided a strong foundation in embedded engineering and machine learning. It was during this time that I also discovered my passion for music, which led to completing multiple senior capstone projects that combined music and artificial intelligence.

These interdisciplinary projects allowed me to explore the intersection of technology and creativity, setting the stage for my dual career path in engineering and music.

Projects

Engineering projects and contributions

Music and AI

Exploring the intersection of music and artificial intelligence through academic research and capstone projects. These projects combine my passion for music with technical expertise in machine learning and signal processing.

Research Paper: Music Composition and Artificial Intelligence

Research paper on music and artificial intelligence

FM Synthesis Using Genetic Algorithms

Frequency Modulation re-synthesis project poster