SOFTWARE ENGINEER
TOMASD'AVOLA.
Software engineer building machine learning products and scalable backend systems. Previously at Phia and Apple.
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DRIVER CARD
BIO
Software engineer building AI products and the infrastructure behind them. I've worked on machine learning systems, large-scale data platforms, and developer tools at Apple, Phia, and FileAI.
Currently studying Computer Science & Mathematics at Northeastern University. (Graduating Dec 2026)
ORIGIN
🇦🇷🇸🇬
BASED
Manhattan, NY
TEAM
Northeastern University
LANGUAGES
English NativeEspañol Fluent中文 Fluent · 13y
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STINTS
JOBS/EDUCATION
- -Hunted down a platform-wide caching failure across 21 core queries — stopped stale data hitting 100% of marketing & exec dashboards (ad spend, ROAS, KPIs).
- -Trained 2 XGBoost buyer-prediction models on 1.1B rows / 40+ features (0.887 AUC, 92% TNR) for targeted re-engagement.
- -Built a competitor-ad intelligence platform — 20K+ ads across 1,800+ companies, ranked feed driven by language + video + object-detection.
- -Shipped 5 Airflow pipelines ingesting 200M+ UGC views across 90 creators for real-time viral detection.
- -4 internal & client-facing dashboards driving $400K+/mo of ad-spend decisions.
DURATION
7 MONTHS
HIGHLIGHTS
SECTORS
DATAMLINFRAFRONT
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GARAGE
Three projects, all shipped at real venues. Hover to rev, click to open the on-board video.
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ABOUT ME :P
CODE TELEMETRY · PUBLIC + PRIVATE@tomasdavola
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