🪓 Gabriel Ruttner

CTO

Brooklyn, New York, United States8 yrs 6 mos experience

Highly Stable

Key Highlights

Co-founder of multiple successful startups.
Expert in AI and product development.
Strong leadership in scaling teams and operations.

Stackforce AI infers this person is a SaaS and AI expert with strong leadership and product development skills.

Contact

Skills

Core Skills

Engineering ManagementProduct Development

Other Skills

LeadershipComputer VisionNatural Language Processing (NLP)Marketing StrategyWeb DesignMySQLEmail MarketingHTMLWeb DevelopmentAdobe Creative SuiteStrategyStrategic PartnershipsSales OperationsMobile DevicesTrade Shows

About

I build hard technical products. YCombinator S20/W24 Alumn, Master of Engineering in Computer Science from Cornell Tech @ Cornell University.

Experience

8 yrs 6 mos

Total Experience

3 yrs

Average Tenure

2 yrs 4 mos

Current Experience

Hatchet

CTO, Co-Founder

Jan 2024 – Present · 2 yrs 4 mos · San Francisco Bay Area

(YC W24) A Distributed, Fault-Tolerant Task Queue

Clearmix

CTO, Co-Founder

Apr 2019 – Mar 2023 · 3 yrs 11 mos · Greater New York City Area

(YC S20) Remote video production for sales and marketing content.
Scaled to service 400+ B2B customers with a team of 31 people.

Engineering ManagementLeadershipProduct Development

Udacity

Course Instructor, SME - Multiple Courses

Apr 2019 – Apr 2020 · 1 yr

Responsible for creation and production of content for the following video courses:
+ Full Stack Developer: Identity and Access Management
+ Cloud Developer: Full Stack Apps on AWS
+ User Experience: Concept to Low-Fidelity Prototyping

Ursatech

CTO, Co-Founder

Jan 2017 – Apr 2019 · 2 yrs 3 mos · New York, NY

Transcription and insight AI software for user researchers.

Product Development

Zebra technologies

Software Engineering Intern (Computer Vision)

Jun 2015 – Aug 2015 · 2 mos · Holtsville, NY

Implemented on-device image classification using feature vectors derived from Discrete Cosine Transformation (DCT) coefficients in JPEG compression, and utilizing a Support Vector Machine for categorization. Achieved industry-leading accuracy rates while conducting all processing exclusively on Android phones.