Steven Segawa

Berkeley, CA P: +1-714-***-**** ad4wf4@r.postjobfree.com

SKILLS

Languages: Python, Java, Javascript, TypeScript, HTML/CSS, SQL Technologies: Git, React, Node.js, Express.js, MongoDB, MySQL, DocTR, TensorFlow, Pytesseract, OpenCV, AWS (S3, AMS SSPS), LLaVA, NumPy, Pandas, SKLearn, DeepNote, Jupyter, Swing, REST API, VSCode, IntelliJ, Eclipse, NetBeans, Figma EDUCATION

University of California–Berkeley Berkeley, CA

Bachelor of Computer Science and Applied Mathematics Expected May 2025 Cumulative GPA: 3.92/4.0

Organizations: DiversaTech (SWE Consultant), Data Science Society, Computer Science Undergraduate Association, Institute of Electrical and Electronics Engineers, Pilipinx Association of Scientists, Architects, and Engineers (PASAE), Cal Tennis Relevant Coursework: Data Structures, Advanced Data Science, Mathematical Statistics for Data Science, Structure and Interpretation of Computer Programs, Linear Algebra and Differential Equations, Discrete Mathematics and Probability Theory WORK EXPERIENCE

SoFi Technologies San Francisco, CA

Software Engineering Intern Jan 2024 – Present

● Applied optical character recognition algorithms with DocTR, Pytesseract, and TensorFlow to extract printed text and handwriting from checks which will be used to identify checks at risk for fraud that warrant manual review.

● Trained a model using OpenCV and Amazon Textract to read checks’ MICR code and signature region with 95% confidence.

● Classified check types and flagged checks for fraud using LLaVA, improving security and reducing unnecessary manual review. Explorastay (Startup @ UT Austin) Austin, TX

Software Engineering Intern Jun 2021 – Mar 2022

● Prototyped initial GUI for an intern task tracker with a decision tree and UML diagram, updating after manager feedback.

● Converted and stored Excel data from 28 growth interns to a JTable with WindowBuilder/Java Swing and MySQL with add, edit, delete, sort, and search functionalities.

● Optimized reach and engagement (16% increase) through A/B testing marketing strategies from Facebook Groups raw data. Intel Corporation Santa Clara, CA

Business Strategy for Artificial Intelligence Programs Aug 2023 – Dec 2023

● Pioneered a multi-channel marketing approach including competitor analysis and target audience segmentation, increasing the reach of Intel’s AI Global Impact Festival by 11%, with an emphasis on attracting underrepresented groups in technology.

● Established partnerships with four major organizations, leading to an upsurge of an additional 6,800 festival attendees. PROJECTS

Flashcards Set HTML/CSS, JavaScript, MongoDB, Node.js, Express.js, REST API Apr 2024

● Parsed inputs from query strings with REST API and implemented data persistence with Mongoose and MongoDB Atlas.

● Utilized Express.js middleware to facilitate rapid delivery of static files, significantly reducing page load times. Review Predictor Python, NumPy, Pandas, SKLearn, DeepNote Dec 2023

● Built a supervised learning model to predict ratings given reviews with 75% accuracy to deliver recommendations to vendors.

● Filtered filler words from the NLTK library and performed sentiment analysis with SKLearn TF-IDF vectorization. Mood Journal HTML/CSS, Javascript Jan 2024

● Developed a framework to visually track the mood and journal entries of users on a given date and time of the year.

● Constructed a dynamic UI to display user entries by rendering updated component data in real time. Scheme Interpreter Python, Scheme Nov 2023

● Implemented the core features of Lisp in Python using a recursive descent parser, utilizing lexical and syntactic analysis.

● Extended the interpreter to support user-defined procedures and special forms.

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