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📋

Resume

👋 I'm an AI Engineer based in Austin, TX, offering a proven track record of success in developing innovative AI solutions and integrating machine learning into applications. With a strong foundation in Python, Machine Learning, Natural Language Processing, and Data Analysis, I deliver intelligent and efficient systems that drive business value.

Current: AI Engineer @ HealthStream

Contact​

📧 pierce@piercecohen.com

🔗 linkedin.com/in/pearsoncohen

👾 github.com/piercecohen1

⌨️ Experience

Head Course Assistant (CA)​

Stevens Institute of Technology, Hoboken, NJ – (Aug 2020 - May 2022)

  • Managed two 400-level courses (CS 423, CS 424) with over 150 CS students in each, exposing students to the entire Software Development Lifecycle (SDLC) through real-world projects.
  • Developed data-driven automation using Doodle's API to optimize TA scheduling, reducing manual effort and improving efficiency.
  • Collaborated with the professor to develop course material and provide 1:1 tutoring sessions, leveraging problem-solving skills to help students overcome project challenges.
  • Demonstrated strong communication and conflict resolution skills by effectively handling disputes between student team members.

Software Development Intern​

Point One Navigation, San Francisco, CA – (Jun 2019 - Aug 2019)

  • Engineered and documented setup scripts to automate deployment of Point One's inference stack (ORB-SLAM, OpenCV, TensorRT), reducing configuration and build time by 75%.
  • Optimized Point One's Atlas Platform for ARM architecture (Armv8-M) by developing customizations to Linux using Yocto, showcasing strong embedded systems development skills.
  • Collaborated with a large, multidisciplinary team of engineers and scientists on a shared codebase hosted via GitHub, actively participating in code reviews to ensure code quality and maintainability.

Software Engineering Intern​

Olibra, Cresskill, NJ – (Jun 2017 - Aug 2017)

  • Led development of an automated testing platform using Python, increasing production yield.
  • Built a QC test jig to detect defective PCB components, presenting results in a user-friendly GUI for assembly line technicians.
  • Implemented a data processing pipeline to store failing components identified during QC testing in a PostgreSQL database, enabling monitoring of failure modes.
  • Analyzed and categorized RF and IR transmissions into subtypes based on characteristics, cataloging them in an extensive database.

Software Engineering Intern​

Hayward Industries, North Kingstown, RI – (Jul 2016 - Aug 2016)

  • Analyzed packet transmissions using Wireshark and reverse-engineered application-server communications to develop an Amazon Alexa Skill for remote equipment control.
  • Utilized AWS Lambda functions extensively to host the Alexa Skill, demonstrating proficiency in serverless computing and secure cloud-based development.
  • Published and deployed Alexa Skill to tens of thousands of users globally.
  • Identified and fixed multiple vulnerabilities in the Omnilogic authentication protocol, showcasing strong problem-solving skills and attention to detail in ensuring data security.
  • Applied Agile (Scrum) using JIRA for project management throughout development lifecycle.

🎓 Education

Bachelor of Science with Honors, Computer Science​

Stevens Institute of Technology, Hoboken, NJ - May 2022

Cumulative GPA: 3.6