Jan 2024 – Present · 2 yrs 5 mos · Toronto, Ontario, Canada

• Investigating side-channel attacks on large language models. Supervised by Gururaj Saileshwar

Jun 2023 – Aug 2023 · 2 mos · 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.

May 2023 – Jan 2024 · 8 mos · Toronto, Ontario, Canada · Remote

• 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

Dec 2021 – Aug 2022 · 8 mos · Toronto, Ontario, Canada

• Working under PhD candidate Maayan Shvo and Professor Sheila Mcllraith on epistemic planning research.

Aug 2022 – Nov 2022 · 3 mos · 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

Jun 2022 – Aug 2022 · 2 mos · 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

May 2021 – Aug 2021 · 3 mos

• 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

Sep 2020 – May 2021 · 8 mos

Jun 2020 – Sep 2020 · 3 mos

Jun 2020 – Sep 2020 · 3 mos · Winnipeg, Manitoba, Canada

Oct 2019 – Jun 2020 · 8 mos

Oct 2018 – Jun 2020 · 1 yr 8 mos · Winnipeg, Canada Area