Alessandra Guerinoni

Senior Software Engineer & Neuroengineering Student

Applying distributed systems to neuroscience & clinical tech. · Palo Alto, CA

I'm a Senior Software Engineer and Tech Lead at Tesla, where I lead engineering platform work — building tooling that engineers across the company rely on every day. On the side I'm doing an MS in Biomedical Engineering at Johns Hopkins. Based in Palo Alto.

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Alessandra Guerinoni

Experience

Senior Software Engineer, Tech Lead

Tesla

July 2022 – Present

  • Two promotions in 3 years; Senior Software Engineer + Tech Lead since Apr 2025; currently also acting PM.
  • Led engineering platform tooling generating $22M+/year in validated time savings across the org.
  • Designed and shipped a Kafka / Kubernetes / Go notification system worth ~$18.8M in business impact.
  • Spearheaded AI integration that eliminated ~6,000 hours/year of manual work at 97% accuracy ($1.2M/year saved).

Project Manager, Governance & University Collaboration

Bombardier, Mitsubishi Heavy Industries

May 2019 – Aug 2020

  • Managed 50+ enterprise projects; led a team of 6 coordinating university partnerships and recruiting 26 interns.

Teaching Assistant — Discrete Mathematics & Computational Thinking

McMaster Faculty of Engineering

Jan 2019 – Apr 2019 & Sept 2021 – Dec 2021

  • Facilitated Haskell and computer science learning for 50+ students; led tutorials, graded assignments, and ran consultations.

Software Engineering Camp Counselor

McMaster Faculty of Engineering

Apr 2018 – Sept 2018

  • Introduced 250+ children to Software Engineering through Python, Arduino, and web projects; delivered STEM lectures to 100+ students across Hamilton.

Projects

TriAuto

McMaster University Capstone

Sept 2021 – Apr 2022

Emergency department triage is a manual, high-stakes classification: nurses assign each incoming patient an acuity level (CTAS 1–5) based on symptoms and vitals. When EDs get overwhelmed, mis-triage can delay care for the most vulnerable patients. Co-developed a real-time decision-support system with a 4-person team that ingests patient intake data and produces a recommended acuity classification, giving nurses a second-check during busy shifts.

ReactNode.jsMySQLSocket.IO

Education

Master of Science, Applied Biomedical Engineering

Johns Hopkins University, Whiting School of Engineering — Engineering for Professionals

Sept 2025 – Present

  • Focus area: Neuroengineering. Current GPA: 3.90/4.0.
  • Completed coursework: Physiology for Applied BME I & II, Mathematical Methods for Applied BME.

Bachelor of Engineering with Distinction, Mechatronics Engineering

McMaster University

Sept 2016 – Apr 2022

  • Dean's Honour List (multi-time).
  • Golden Key Award (top 15% of the faculty).
  • Future Leader Recognition Award for exemplary co-op work.
  • McMaster's Faculty of Engineering Entrance Award.

Machine Learning Certificate

Cornell University

May 2024 – Aug 2024

Skills

Languages
GoTypeScriptJavaScriptPythonJavaC++HaskellMATLABSQL
Cloud & Infrastructure
AWSAzureDockerKubernetesS3KafkaTemporalRedis
Frameworks & Tools
Next.jsReactNode.jsRESTgRPCOAuthJWTPrometheusGrafanaSplunk

Contact

Always open to interesting conversations — feel free to reach out.