📓 enrico_carraro_resume.ipynb
Software Engineer, YouTube Ads · Google · Zürich, Switzerland
Python 3.11 | Kernel: Ready | Resume
← Home 🛠️ Tools ⬇ Download PDF
In [1]:
# Professional Summary

👋 Hi, I'm Enrico Carraro

Tech Lead on YouTube Homepage ads; five years at Google across security, Watch ads, and now Home. One-person dev shop through university, co-founded startups; comfortable with data analysis, engineering, and product.

In [2]:
# Career Timeline
TL, YouTube Home Feed Ads — Google
Full-time
📅 2025 – Present 📍 Zürich, Switzerland
  • Lead technical and product direction for Homepage ads: ML integration, architecture, experiment design. Drove the team's roadmap response when YouTube Home started losing sessions to Shorts (users hopping in from Shorts and bouncing right back), rescoping our approach around that new traffic pattern.
  • Designed and shipped the dynamic feed framework. Started from log-data analysis to find when users actually re-engaged with Home (return-to-home transitions, inline muted playback, Shorts playback), then built ad triggers around those moments instead of fixed slots.
  • Operated experiment-first across all product work; every initiative ran the full loop: hypothesis → log-data analysis → A/B experimentation → iteration → launch.
  • Conducted 50+ technical interviews and closed 3 headcount in the past year.
Software Engineer, YouTube Watch & Feed Ads — Google
Full-time
📅 Aug 2024 – 2025 📍 Zürich, Switzerland
  • Owned engineering for a Watch UI redesign with 30% CTR lift, one of the highest-impact launches on YouTube Ads that year. Designed the experiment roadmap with PM and UX, ran 20+ variants.
  • Served as the primary engineer on Watch Feed ads: ML signal integration (comment-intent prediction for per-user UI show/hide; behavioral signals for engagement-button reordering), experiment instrumentation, and coordinated client rollouts across Android, iOS, and web surfaces.
Software Engineer, YouTube Security — Google
Full-time
📅 Sep 2021 – Aug 2024 📍 Zürich, Switzerland
  • Built YouTube's channel-hijacking defense stack end-to-end: automated account recovery reversing hijacker actions across 1,000+ channels/day at 93% precision; API enforcement blocking 4M+ malicious requests/day; tightened 2FA-gated action enforcement; and suppressed hijacked-channel visibility, collectively dismantling the crypto-scam playbook highlighted in the 2023 Linus Tech Tips incident.
  • Designed a distributed scanner for cryptographic vulnerabilities, still running in production today; first run swept XX PB of data (YB+ entries). Led 20+ security design reviews for major web-security-impacting launches.
SWE Intern, Core Security — Google
Internship
📅 2020 📍 Zürich, Switzerland
  • Built scalable libraries, adopted across Google, for deploying novel web-platform security features to open-source projects; shipped XSS mitigations and XS-Leaks defenses to high-traffic projects including WordPress.
Freelance — Solo Developer
Freelance
📅 2017 – 2021

Ran a one-person dev shop alongside university. Built and shipped web and mobile apps for small businesses and startups, including Keepy.it, Skuola.net, and several mom-and-pop shops. Owned every step from scoping with the client to deploy.

Ordino.io — Co-Founder
Founder
📅 2016📍 Turin

Office-supply SaaS for SMBs. Team of 2 engineers and 1 business co-founder. Did cold outbound to SMBs, ran product demos, handled customer support, and shipped weekly product iterations. Landed ~10 paying customers in the first 6 months: enough to prove willingness to pay, not enough to find retention or a repeatable acquisition channel. Wound it down without a PMF story.

In [3]:
# Technical Skills

💻 Programming Languages

Python
TypeScript
Java
C++
SQL

⚙️ Systems & Infra

RAG pipelines
Tool-use / function calling
Harness engineering
Experimentation
Data analysis
Distributed systems
In [4]:
# Education

Politecnico di Torino, Turin (Italy) — BS + MS, Computer Engineering

2016 – 2022 · Focus: Algorithm optimization, operations research, and ML.

Thesis: Novel Graph Similarity Heuristics · Paper

In [5]:
# Try some Python

Try some Python

This is a real Python interpreter running in your browser via WebAssembly (Pyodide). Edit the cell below and hit Run.

In [6]:
# Your turn
# Edit me, then click Run.
print("Hello from Enrico's resume!")
Enrico Carraro
Software Engineer · Zürich, Switzerland
[email protected]
+41 76 244 34 18
enricocarraro.com
linkedin.com/in/carraroenrico
github.com/enricocarraro

Tech Lead on YouTube Homepage ads; five years at Google across security, Watch ads, and now Home. One-person dev shop through university, co-founded startups; comfortable with data analysis, engineering, and product.

01 Experience
Google 5 years · 4 roles · YouTube Ads & Security Zürich, Switzerland
TL, YouTube Home Feed Ads 2025 – Present
  • Lead technical and product direction for Homepage ads: ML integration, architecture, experiment design. Drove the team's roadmap response when YouTube Home started losing sessions to Shorts (users hopping in from Shorts and bouncing right back), rescoping our approach around that new traffic pattern.
  • Designed and shipped the dynamic feed framework. Started from log-data analysis to find when users actually re-engaged with Home (return-to-home transitions, inline muted playback, Shorts playback), then built ad triggers around those moments instead of fixed slots.
  • Operated experiment-first across all product work; every initiative ran the full loop: hypothesis → log-data analysis → A/B experimentation → iteration → launch.
  • Conducted 50+ technical interviews and closed 3 headcount in the past year.
Software Engineer, YouTube Watch & Feed Ads Aug 2024 – 2025
  • Owned engineering for a Watch UI redesign with 30% CTR lift, one of the highest-impact launches on YouTube Ads that year. Designed the experiment roadmap with PM and UX, ran 20+ variants.
  • Served as the primary engineer on Watch Feed ads: ML signal integration (comment-intent prediction for per-user UI show/hide; behavioral signals for engagement-button reordering), experiment instrumentation, and coordinated client rollouts across Android, iOS, and web surfaces.
Software Engineer, YouTube Security Sep 2021 – Aug 2024
  • Built YouTube's channel-hijacking defense stack end-to-end: automated account recovery reversing hijacker actions across 1,000+ channels/day at 93% precision; API enforcement blocking 4M+ malicious requests/day; tightened 2FA-gated action enforcement; and suppressed hijacked-channel visibility, collectively dismantling the crypto-scam playbook highlighted in the 2023 Linus Tech Tips incident.
  • Designed a distributed scanner for cryptographic vulnerabilities, still running in production today; first run swept XX PB of data (YB+ entries). Led 20+ security design reviews for major web-security-impacting launches.
SWE Intern, Core Security 2020
  • Built scalable libraries, adopted across Google, for deploying novel web-platform security features to open-source projects; shipped XSS mitigations and XS-Leaks defenses to high-traffic projects including WordPress.
02 Other Adventures
Freelance Solo DeveloperFreelance 2017 – 2021

One-person dev shop alongside university. Built and shipped web and mobile apps for small businesses and startups including Keepy.it and Skuola.net. Owned every step from client scoping to deploy.

Ordino.io Co-FounderFounder 2016

Office-supply SaaS for SMBs. Team of 2 engineers and 1 business co-founder. Did cold outbound to SMBs, ran product demos, handled customer support, and shipped weekly product iterations. Landed ~10 paying customers in the first 6 months: enough to prove willingness to pay, not enough to find retention or a repeatable acquisition channel. Wound it down without a PMF story.

03 Skills
Languages
Python · TypeScript · Java · C++ · SQL
Systems & Infra
RAG pipelines · Tool-use / function calling · Harness engineering · Experimentation · Data analysis · Distributed systems
04 Education
Politecnico di Torino 2016 – 2022
BS + MS, Computer Engineering · Turin, Italy
Focus: Algorithm optimization, operations research, and ML.
Thesis: Novel Graph Similarity Heuristics · Paper