Javahir Abbasova

ML Engineer @Typeface | MS in Computer Science @UCSD

Role: Machine Learning Engineer at Typeface
Location: San Francisco, CA, US
LinkedIn followers: 500 followers

Information TechnologyView LinkedIn profile

About Javahir Abbasova

Machine Learning Engineer working on Generative AI. 5 years of experience in Software…

Experience

Machine Learning Engineer
Typeface
Apr 2025 — Present · Palo Alto, CA, US

Education

UC San Diego
Master of Science - MS, Computer Science
FH Aachen University of Applied Sciences
Bachelor's degree, Mathematics and Computer Science (RWTH MATSE)
2019 — 2022

Contact information

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•••••@typeface.ai
Personal email
•••••@•••••.com
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Current company

Typeface

Software Development · 51 employees · Founded 2022 · 260 California Avenue, Suite 300, US

Typeface is the marketing orchestration engine that unifies Marketing, Creative, and IT teams to power the entire content lifecycle. By moving beyond one-off generation to enterprise-grade orchestration, Typeface provides a single pane of glass to conduct people, agents, and systems across every channel—all grounded in rich enterprise context and brand standards. Built for large organizations, the platform combines shared brand intelligence and governed agent workflows with deep enterprise integration. It connects seamlessly with platforms like Salesforce, Microsoft, and Google to help teams scale what works without sacrificing quality or control. Our platform is built on four core pillars: Arc Graph: A living context graph that connects brand standards and assets into a unified intelligence layer. Arc Forge: IT-powered architecture for designing and deploying governed, scalable agents via MCP, APIs, and webhooks. Arc Agents: Purpose-built marketing agents for email, social, paid media, web, and video. Arc Spaces: A collaborative, visual workspace where teams and agents plan, build, and run campaigns together. Trusted by Fortune 500 companies and global brands like ASICS and Johnson Controls, Typeface enables organizations to operationalize AI inside real marketing workflows. This turns brand standards, approvals, and performance signals into coordinated systems that improve over time. Typeface turns AI experimentation into repeatable, business-critical workflows. Anything imagined. Everything on-brand. Scaled with Typeface.

typeface.ai

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About Javahir Abbasova

Experience

Machine Learning Engineer

Education

UC San Diego

FH Aachen University of Applied Sciences

Find verified contacts for anyone on LinkedIn