Avi Romascanu

About Avi Romascanu

Innovative team lead, tech evangelist, and hands-on Software Engineer with over 17 years of experience leading transformative initiatives that redefine the future of technology. I specialize in delivering impactful solutions through rapid iteration, scalability-focused design, and seamless integration of cutting-edge technologies like Generative AI and large language models (LLMs).As a trusted advisor to leadership, I drive strategic initiatives that align with company vision and deliver measurable business impact. I excel at bringing together top talent across engineering, AI, and data science to craft scalable systems, setting new benchmarks in performance and innovation.Throughout my career, I’ve been recognized for translating complex ideas into finished products, facilitating product launches, and influencing decisions that shape organizational strategy. My passion lies in creating solutions that bridge technical excellence with tangible results, whether in startups or global enterprises.Core strengths: Generative AI, LLMs, Architecture and Design of Distributed Systems, Scalability and Resiliency, Privacy, API Design, Machine Learning Applications, Mobile Development, Security & Cryptography.Languages: Java, C#, Swift, Objective-C, C++, Python

Experience

1. Principal Staff Software Engineer

   Linkedin

   Nov 2022 — Present

   Leading critical, high-scale engineering efforts across LinkedIn’s multi-billion dollar ads business. I focus on building large-scale systems at the intersection of ML, infrastructure, and monetization, turning technical innovation into measurable business results.* Ads Infrastructure Modernization: Driving cross-functional execution across AI, infra, and product to re-architect LinkedIn’s ad systems. This includes scaling high-throughput retrieval, GPU inference, and auction/pacing optimization to unlock the next curve of efficiency and ROI.* Business Impact at Scale: Known for transforming ambiguous 0→1 ideas into production systems that materially improve advertiser outcomes, system performance, and revenue. Trusted to lead initiatives that cut across multiple organizations.

Education

• Amazon Machine Learning University (MLU)

  MLU Graduate, Machine Learning: Math, Data

  2018 — 2019

• The College of Management Academic Studies

  BSC, Computer science

  2008 — 2012

Skills

• Web Services
• Distributed Systems
• Json
• Web Development
• Ios
• Rest
• Jquery
• Soa
• Mobile Applications
• Software Development
• C#
• .net
• Saas
• Cloud Computing
• Sql
• Asp.net
• Wcf