Peter Mora-Stevens

Returning Intern on Android Player Team📱

Android Player Team📱

• Saved 200 engineering hours annually and decommissioned 15 server instances by developing a new Java service to migrate Kafka topic, consumer, and lifecycle notifications which deprecated an unmaintained internal tool • Enhanced team productivity by enabling rapid ramp-up for a team of 40 engineers through authoring a design document to propose the new service outlining the entire deprecation process • Ensured production safety through rigorous end-to-end, integration, and unit testing leading to a clean deploy

• Selected as 1 of 52 from 1400+ applicants (4% acceptance) for an 8-month data structures and algorithms program • Participated in 15 mock interviews with Uber software engineers honing algorithm-style interview skills • Completed technical homework going from understanding how to use arrays, strings, and hashmaps to learning linked lists, trees, graphs, heaps/priority queues, backtracking, greedy and dynamic programming

• Completed 5 weekly projects, honing skills in web development and enhancing problem-solving abilities • Demonstrated competence in version control with Git and created comprehensive README documentation • Reached a high level of understanding in full stack web development and debugging through daily stand-ups, code reviews, and weekly mentorship with experienced software engineers • Gained proficiency in HTML, CSS, React, Node, Express, and SQL by working on projects provided by CodePath such as implementing a post-sharing feature on a Twitter clone

• Utilized PyTorch to experiment with quantization and create neural networks to advance fundamental machine learning concepts in a hands-on manner • Analyzed machine learning research papers alongside my research advisor to find topics of interest including quantization leading to implementation of the resnet16 architecture in PyTorch

• Supervised teams of up to 6 members while operating on silicon wafer production equipment, ensuring the safest machine section where no mistakes moved into operations • Facilitated the movement of silicon wafers throughout the manufacturing building, supporting the successful production of over $300 million in daily product • Communicated with Intel employee teams to provide product movement assistance, machine testing, and construction location updates resulting in consistent positive feedback and a 95% positive interaction rating

Discrete Math CS 361/362 - Software Engineering I/II CS 325 - Analysis of Algorithms CS 290 - Web Development CS 261 - Data Structures CS 162 - Introduction to Programming II CS 161 - Programming and Problem Solving