TemiOloyede

aduy5t@r.postjobfree.com

/teimilola

in/temi-oloyede-swe

206-***-****

https://teimilola.github.io/

EDUCATION

Howard University

Washington, DC

BS in Computer Science

Graduated May 2020

Honors: Summa Cum Laude,

GPA 3.95/4.0

Sphnx(Senior Capstone project)

Utilized Natural Language

Processing

to build an automatic

quiz-generating,

study-aid platform for students

SKILLS

Programming (7-year exp.)

• Languages (Proficient):

C++, Python, Bash, C,

HTML/CSS/JavaScript, Java,

MIPS/Assembly Language

Programming, SQL, Shell

Scripting, PHP/Hack

• Tools and Frameworks:

Git and Mercurial, Hive, Presto,

Apache Thrift, fblearner (similar

to Tensorflow), DPER3,

Scikit-Learn, Bento/Jupyter,

Unicorn (Search Indexer), CI/CD,

GraphQL, ReactJS, Tupperware

(similar to Kubernetes), MATLAB,

Android Studio, Parse,

MongoDB

Other

• Strong Technical

communication

• Self-driven productivity

• Fast learner

• Natural Languages:

Native Fluency in Yoruba,

Beginner Written and Oral

French Proficiency

EXPERIENCE

Meta Aug 2021 – Present

Software Engineer - AI Infra Seattle, WA

• Worked on the team building Meta’s preferred Feature Framework, the F3 Compiler

• Completed technical design on projects, carefully considering requirements, and taking feedback from multiple stakeholders

• Delivered projects building privacy enforcement into the feature compiler stack, both at feature compilation and at feature serving, simplifying the process of feature and model privacy compliance to numerous privacy regulations (e.g. ePD, GDPR, OBA)

• Provided seamless feature authoring experience with using User Defined Functions (UDF) by improving documentation, answering questions of feature developers, and identifying ways to improve UDF system

• Brainstormed, defined and developed metrics to help track privacy compliance within the feature framework

• Worked with data scientists to develop high-visibility privacy and adoption dashboards

Meta Aug 2019 – Aug 2021

Software Engineer, ML Generalist - Search Seattle, WA

• Worked on highly impactful information retrieval and ranking projects to improve social and textual relevance of search results and groups recommendations.

• Trained models using fblearner and Bento(Jupyter Notebooks) and monitored and evaluated models for model freshness and quality

• Created and maintained efficient model training data pipelines

• Created and extracted new features

• Drove over 250k new daily active groups users on Facebook, 7M revenue increase from improved events search and 33% of the app core session gains driven from Search over 6 months, as well as perf and capacity improvements

• Generated and tested product hypothesis using A/B testing

• Performed opportunity analysis to determine product development focus on Facebook Community, Social and Events Search product and drove wins from findings

AWARDS

• Howard Capstone Scholarship Re-

cipient (2015)

• Greif Scholarship Recipient (2015)

• Brenda Lawson Scholarship Recip-

ient (2018)

• Dean’s List (2016, 2017, 2018)

Facebook (now Meta) May 2018 – Aug 2018

Software Engineering Intern Seattle, WA

• Designed, built, and maintained a highly-performant, memory-efficient data pipeline in C++

• Worked directly with key stakeholders and potential customers to understand their needs

• Collaborated with a team to design key features and discuss challenges

Facebook (now Meta) May 2017 – Aug 2017

Software Engineering Intern (Android) Cambridge, MA

• Designed, built and tested high quality Location-based features on a proprietary Android application

• Tested code for robustness, including edge cases, usability and general reliability

• Designed and built web UI for debugging using ReactJS and GraphQL

Facebook (now Meta) Jun 2016 – Aug 2016

Facebook University Intern Menlo Park, CA

• Designed and built an advanced Android application that allows users to create location-based events and receive location-based notifications using Android Studio

• Implemented server-side user data storage using Parse RESEARCH EXPERIENCE

Howard University CS Department Sep 2017 - May 2018 Undergraduate Researcher Washington, DC

• Advisor: Dr. Jiang Li

• Focused research on understanding social media and the spread of health data (using automatic text summarization and bot classification/detection)

Howard University CS Department Aug 2016 - Dec 2016 Undergraduate Researcher Washington, DC

• Advisor: Dr. Jiang Li

• Created tools for medical researchers to securely and anonymously collect patient questionnaires

Contact this candidate