Computer Science Software Development

Miles Gilberti

**************@*****.*** 908-***-**** linkedin.com/in/miles-gilberti-06630520a

Motivated Cognitive Science and Computer Science undergraduate seeking an engaging and fulfilling internship. I have a track record of improving efficiency and applying new, AI-based solutions to complex problems on the forefront of scientific research, with an understanding of the very real potential as well as limitations of LLMs. With a strong ability to bring a project to fruition while working alone or with others, and an interest in the ways that new technology can be used to solve important problems while improving outcomes and accessibility, I am excited to participate in work that advances technologies that can help people and contribute to scientific knowledge.

Experience

Research Assistant (Software Development) 9/2023 to Present WordLab Ann Arbor, Michigan

● Used PyTorch and Jupyter notebooks for the full-stack development of an AI powered psycholinguistics research tool as the primary developer.

● Maintained and updated prior non-functional and outdated versions.

● Developed and executed a rigorous testing, debugging, and evaluation plan for the tool to ensure usability and accuracy for a variety of use cases, 3 distinct modes, and all languages using the Latin alphabet.

● Worked with LLMs to perform non-standard computational linguistics tasks for cutting-edge linguistics research.

● Wrote detailed documentation to ensure code can be easily adapted for researchers’ needs, and the tool is accessible to users unfamiliar with programming.

Conference Assistant 03/2024 - 05/2024

Human Sentence Processing Ann Arbor, Michigan

● Assisted a team of academics with email, social media, outreach, and technology as they organized an academic conference.

Marketing Intern 01/2022 - 06/2022

TetherView Oceanport, New Jersey

● Used Python and Excel to manage client data and automate tasks, saving dozens of hours of work. Education

Computer Science & Cognitive Science Major - University of Michigan, Ann Arbor Expected Graduation: May 2026 GPA 3.87

Relevant Coursework:

● EECS 280 - Programming and Intro to Data Structures

● EECS 281 - Data Structures and Algorithms

● EECS 376 - Foundations of Computer Science

Skills

● Software Development

● Debugging

● Excel

● Python, including PyTorch

● Large Language Models

● Communication

● Prompt Engineering

● Machine Learning Algorithms

● Code Optimization

● Experimental Research and Data Analysis

● Jupyter notebooks and Google Colab

● Planning and self-directing within a project

Contact this candidate