# Sophia Abolore > SWE @ Bloomberg | Prev @ Netflix, Meta, Microsoft | Neo Scholar Location: New York City Metropolitan Area, United States Profile: https://flows.cv/sophiaabolore ## Work Experience ### Software Engineer @ Bloomberg Jan 2024 – Present | New York City Metropolitan Area IB Multimedia Team ### Machine Learning Systems Researcher @ University of Toronto Jan 2024 – Present | Toronto, Ontario, Canada Investigating side-channel attacks on large language models. Supervised by Gururaj Saileshwar ### Reinforcement Learning Researcher @ Vector Institute Jan 2023 – Jan 2024 | Toronto, Ontario, Canada Under the supervision of Professor Amir-massoud Farahmand and PhD candidate Tyler Kastner. Investigated applications of distributional reinforcement learning to anomaly-based Intrusion Detection Systems (IDS). • Developed a custom IDS environment using the NSL-KDD dataset • Implemented Implicit Quantile Network (IQN), Quantile-Regression Deep Q-Network (QR-DQN), Categorical Q-Network (C-51) algorithms to train agents. • Conducted literature reviews, analyzed results of experiments, drafted report and presented findings ### Software Engineer Intern @ Netflix Jan 2023 – Jan 2023 | Los Gatos, California, United States Team: Threat Intelligence under Detection and Response • Developed automated data pipelines and repositories for Indicator of Compromise (IOC) ingestion from vendors, APIs, emails, and form submissions • Used regular expressions for IOC extraction and type-mapping as well as NLP models for text summarization. • Automated scans of logs and internal data for the presence of found IOCs • Designed and developed alerts to automatically cross-reference found IOCs for context and automatically generate a structured report of relevant information about threat actor and IOC. • Designed and developed a dashboard of gathered insights to inform and visualize security and threat posture of Netflix. ### Data Science Intern @ Microsoft Jan 2022 – Jan 2022 | Redmond, Washington, United States Team: Clean Classification (machine learning focused cyber-security research team for Microsoft Defender) • Developing datasets and training ML models to identify malicious software developers for Microsoft Defender and reducing false positives • Data cleaning, normalization, feature engineering and anomaly detection in code signing certificates to classify malicious developers • Researching and developing a report on security vulnerabilities and indicators of compromised certificates ### Full Stack Engineering Intern @ Meta Jan 2022 – Jan 2022 | Menlo Park, California, United States • Built a web application end-to-end using React, Nodejs, Express and Parse • Integrated data from APIs into the application • Designed wire-frames and mock-ups of the application ### Undergraduate Research Assistant @ Vector Institute Jan 2021 – Jan 2022 | Toronto, Ontario, Canada Working under PhD candidate Maayan Shvo and Professor Sheila Mcllraith on epistemic planning research. ### Software Engineer Intern @ Microsoft Jan 2021 – Jan 2021 • Designed and developed the Microsoft Teams plugin for Loupedeck and Streamdeck devices • Conducted telemetry, and spearheaded accessibility reviews of the plugin • Designed and developed a new API ### Junior Software Developer @ Manrex Ltd. Jan 2020 – Jan 2021 ### Software Development Intern @ Manrex Ltd. Jan 2020 – Jan 2020 ### Product Management Intern @ Two Small Men with Big Hearts Moving Co. Jan 2020 – Jan 2020 | Winnipeg, Manitoba, Canada ### Teen Ambassador @ Canada Learning Code Jan 2019 – Jan 2020 ### Youth Robotics Program Assistant @ CanU Canada (CanU) The University of Can. Jan 2018 – Jan 2020 | Winnipeg, Canada Area ## Education ### Bachelor of Science - BS in Computer Science University of Toronto ### High School Diploma Fort Richmond Collegiate ## Contact & Social - LinkedIn: https://linkedin.com/in/sophiaabolore - Website: https://sophiaabolore.github.io/website/ --- Source: https://flows.cv/sophiaabolore JSON Resume: https://flows.cv/sophiaabolore/resume.json Last updated: 2026-04-05