# Mario Aksiyote

> Software Engineer

Location: New York City Metropolitan Area, United States
Profile: https://flows.cv/marioaksiyote

## Work Experience
### Senior Software Engineer @ Spotify
Jan 2022 – Present | New York City Metropolitan Area
- Acted as engineering lead for an ~8-person team, driving execution via technical planning, RFCs, and reviews.
- Led technical direction and delivery for an LLM + TTS–powered AI ads creation tool driving ~61% of in-Spotify audio ad creation; delivered ~$7.7M USD in year-one revenue and cut production costs ~40%.
- Owned development and launch of the booking experience for new ad formats (image ads, product carousel ads, Recent Ads); image ads generated ~$10.1M USD in the first 8 months.
- Re-architected Ads Manager frontend using Next.js, GraphQL, and React Query, consolidating 6 key workflows into 1 modular flow to improve maintainability and increase release velocity.

### Software Engineer II, Frontend @ Spotify
Jan 2021 – Jan 2022 | New York City Metropolitan Area
- Revamped and scaled Ads design system into a company-wide Business Design System, improving TypeScript APIs, UI design, and docs; enabled an Ads Manager redesign with ~10%+ gains in satisfaction and retention.
- Led key advertiser features including brand safety controls, clickable ad cards, and language-based audience targeting; supported company-wide initiative to introduce ads into podcasts and create an ad auction.

### Software Engineer, Frontend @ Tradewing
Jan 2020 – Jan 2021 | San Francisco Bay Area
- Established maintainable frontend practices by documenting code structure, GraphQL, TypeScript, and design system patterns, improving code quality and development speed for a backend-heavy team.
- Embedded with the product team to ship user-facing features in a fast-moving startup environment.

### Lead Software Engineer, Frontend @ Topos
Jan 2017 – Jan 2020 | New York
- Built and shipped two AI-powered products for commercial real estate from zero to launch, owning product design, frontend architecture, and ML algorithms for location and tenant selection.
- Created The Covid Compiler, a real-time COVID data platform featured on The Rachel Maddow Show, scaling to ~150K daily users at peak.
- Authored machine learning and data visualization articles that showcased Topos’s technical capabilities.

### Product Designer @ Behavery
Jan 2016 – Jan 2017 | Greater Philadelphia Area
- Created design prototypes for Behavery App that helped secure seed funding from Gates Foundation in Oct. 2016.

### Research Assistant @ University of Pennsylvania
Jan 2017 – Jan 2017 | Greater Philadelphia Area
- Worked under Dr. Alexander Funke programming web scrapers to measure traffic data for peer-to-peer companies and services, helping build first global index of the Sharing Economy.

### Head TA for Intro to Decision Theory @ University of Pennsylvania
Jan 2016 – Jan 2016 | Greater Philadelphia Area
- Aided Dr. Sumantra Sen in all course matters. Graded all homework, midterms, and finals.

### Software Engineer Intern @ ListenFirst Media
Jan 2015 – Jan 2015 | New York City
- Refactored web app into smaller components using internal Tile Framework.
- Generated D3 data visualizations from large amounts of data collected from social media


## Education
### Bachelor of Arts - BA in Majors: Economics and Computer Science
University of Pennsylvania
Jan 2013 – Jan 2017

### High School Diploma
The American School Foundation A.C in Mexico City
Jan 2001 – Jan 2013


## Contact & Social
- LinkedIn: https://linkedin.com/in/marioaks
- Website: https://marioaksiyote.com

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Source: https://flows.cv/marioaksiyote
JSON Resume: https://flows.cv/marioaksiyote/resume.json
Last updated: 2026-03-22