BECKY MASHAIDO Scholar Github Mail LinkedIn

ad1p0e@r.postjobfree.com

Academics: Northeastern University

Master of Science (M.S.), Computer Science

University of California, Berkeley

Bachelor of Science (B.S.), Applied Mathematics

Highly skilled junior software engineer (2+ years of non-internship experience) with a strong background in mathematics and focus on backend (APIs, servers, databases, cloud, distributed systems), machine learning and deep learning. Demonstrated expertise in achieving results for top tier companies and research institutions. Excels in designing, optimizing and scaling systems, developing critical business insights and mentoring others. Frameworks and Technical Skills: Google (& Amazon) tech stack, Git version control, Keras, TensorFlow, PyTorch Programming Languages: Java, Python, C++, C, SQL, MATLAB, Microsoft Z3 Theorem Prover, SMT2 Solver MOST RECENT EXPERIENCE - SOFTWARE ENGINEERING

Google Sunnyvale, CA

Software Engineer 2022-2023

o Troubleshot and fixed existing bugs that affected highly-visible tools such as a metrics dashboard for Google vice presidents o Designed and engineered new pipelines that ingested internal raw tier pipelines to display denormalized metadata for external customers

o Cut down costs for Google cloud by reducing file size outputs in half (from 64G to 32G) using new optimization techniques such as per-shard sorting for metadata

o Optimized Google’s virtual fleet by performing performance benchmarking on storage vs runtime tradeoffs o Prototyped high-opportunity insights and designed platforms to host critical business insights o Tested, debugged, built, and deployed code to production o Mentored teammates by reviewing code and providing feedback to ensure best engineering practices o Minimized the time taken to production for my org, by improving documentation on internal resources Amazon Palo Alto, CA

Software Development Engineer Intern Summer 2021

o Improved customer visibility by 100% through new features that aggregate source code incompatibilities that obstruct customers from migrating their applications into AWS, as part of the Application Migration and Modernization workflow o Developed and launched APIs that enabled customers to request and receive a consolidated report of these incompatibilities o Designed and implemented infrastructure that extends the AWS serverless architecture for internal consumption with the aforementioned APIs

o Engineered an extension of the AWS distributed storage system that is scalable, fault-tolerant, low cost and easy to manage, for storing the aforementioned consolidated reports

o Tested, debugged, built, and deployed code to production o Caught and fixed a critical bug for a senior teammate, through code review o Enhanced the project design workflow for a fellow intern, through design reviews VMware CodeHouse Palo Alto Palo Alto, CA

Software Engineer Hackathon Summer 2020

o Led a team of six graduate-level students in creating a third-party application Tweet-Speak, that interfaces with the Twitter feed to provide direct audio access to tweets under a user-specified hashtag o Won multiple category awards for improving audio accessibility for the blind and visually impaired Twitter users Northeastern University San Francisco, CA

Research Software Engineer 2019-2020

o Improved student grades with a 97% pass rate through implementing a mastery grading system that allowed students to get over common learning huddles

o Documented the new gradescope utility using sphinx, allowing professors visibility, easy access and adoption to their classes MOST RECENT EXPERIENCE - MACHINE LEARNING

Graduate Research Intern Matrix AI Consortium

Low-Precision Arithmetic in Deep Learning Fall 2021 o Conducted literature review on quantization and low-precision arithmetic o Performed inferences on the TinyML benchmark, in a 32-bit floating point numerical format o Published results in top ML conferences

Graduate Research Fellowship Northeastern University Detecting Neural Network Integrity Violations via Sensitive Samples Spring 2021 o Investigated the feasibility of rich methods from the field of symbolic reasoning to assess the vulnerability of deep neural networks against fault attacks

o Improved the efficiency of above symbolic methods such as SAT and SMT solvers o Applied the symbolic methods to networks that result from specific and well-known types of attacks such as Trojan attacks Graduate Research Assistant (MCADS Lab) Northeastern University Learning Grammar of Complex Activities via Deep Neural Networks Fall 2020 o Reduced computational complexity of weakly supervised action segmentation using a deep learning model that predicts the tasks of a video and actions happening in the video, under inaccessible frame-level label constraints o Analyzed model performance and implemented regularization techniques to reduce overfitting o Computed a quantitative score to measure the quality of attention for each test video and proposed further research directions Deep Learning Graduate Research Northeastern University Adversarial Training for Fairness in Deep Neural Networks Spring 2020 o Trained a deep neural network on the COMPAS dataset and analyzed the fairness of its predictions o Implemented adversarial learning which constrained the baseline model into making fairer recidivism predictions for Black inmates

Bold San Francisco, CA

Machine Learning Engineer - NLP 2018-2019

o Enhanced the baseline quality of semantic models using a semantically-ranked recommendation feature that increased user retention by 15 percent within 3 months

o Improved training time for supervised models by selecting useful features for input dataset based on the Levenshtein algorithm SELECTED SERVICES

Black High-School Girls Engineering Mentorship

o Launched personal initiative to raise the next generation of Black women in software engineering, computer vision and AI from underserved marginalized Black communities, globally She Codes Africa

o Designed and implemented learning modules for first-time African women in computing, to improve the representation of Black women in mathematics and computing careers

Relevant Courses: Computer Systems, Algorithms, Data Structures, Object-Oriented Design, Machine Learning, Linear Algebra, Deep Learning

Involvement: Google Engineers Code2040 CodePath /dev/color Black in AI She Codes Africa Women in Machine Learning Cal Women’s Rugby Afrotech

Awards: NCWIT Collegiate VMware Achieve Khoury Graduate Research AnitaB Grace Hopper Tapia P.E.O. AAUW Lime Melinda Gates Pivotal UC Berkeley Regents & Chancellor MasterCard Foundation Clinton Global Initiative Berkeley Big Ideas

PUBLICATIONS

Hamed et al. “ACTION: Automated Hardware-Software Codesign Framework for Low-precision Numerical FormaT SelectION in TinyML.” arxiv.org, 7 Jan 2022 [pdf].

Mashaido, Becky. “Learning Grammar of Complex Activities via Deep Neural Networks.” arxiv.org, 7 Jan 2021 [pdf]. Mashaido, Becky and Winston Tangongho. “A Tale of Fairness Revisited: Beyond Adversarial Learning for Deep Neural Network Fairness.” arxiv.org, 8 Jan 2021 [pdf].

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