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Experience

Where I've worked

Roles across AI engineering, embedded systems, and teaching: most come with a number I'm proud of.

FINRA · incoming 2026

AI Engineer Intern

Joining the Office of the Chief Data Officer to work on GenAI, with a throughline of AI safety.

  • Supporting OCDO's R&D team with dataset preprocessing, and model evaluation.
  • Building Python/AWS proof-of-concept development

Python · AWS · GenAI

RoonCyber Inc. Aug–Dec 2025

AI Engineer Intern

Built risk-scoring and anomaly detection to help security teams act on what matters first.

  • Built a risk-scoring model combining CVSS and asset criticality to prioritize remediation - cut MTTR by 20%.
  • Designed and deployed an Isolation Forest anomaly detector for GuardDuty/Macie logs - cut incident response time 30% across 100K+ event streams.
  • Prototyped an agentic AI system that surfaces risk-scoring insight by querying the database and LLMs.

Python · LLMs · AWS · Anomaly detection

Northeastern University Jan 2025 – Apr 2026

Teaching Assistant - CS4100

Helping a large cohort actually understand the foundations of AI, not just pass them.

  • Led office hours and review sessions demystifying key AI topics - improved project success rates by 25% for a cohort of 150+.
  • Built Python coding demos for ML/AI concepts alongside faculty, enhancing engagement by 30%.
  • Mentored 200+ students through projects in RL, DL, and CNNs, from problem design to evaluation.

Python · Machine learning · Mentorship

Visteon Corp. Aug 2023 – Jul 2024

Software Engineer

Embedded and tooling work for in-vehicle systems, shipped at real automotive scale.

  • Introduced AI-driven unit testing using LLM tools - reduced development cycles by 45% and raised test coverage to 60%.
  • Deployed an in-vehicle network emulator for Bluetooth/HIL testing, accelerating integration cycles by 40%.
  • Built Bluetooth features in Java on embedded Android frameworks - deployed in 100K+ vehicles.

Java · Android · LLM tooling