Radu Tudoran

VP of Engineering

Microblink

May 2025 - Current (1 year 6 months)

Microblink is a leading AI provider with best in class technology for on-device processing. In fact, we are the AI tech behind the major identity providers. Microblink’s proprietary in-house ML tech is the backbone of today’s identity landscape, powering verification for over 20 leading identity solution providers, including 50% of the top providers listed in the Gartner 2024 Magic Quadrant for IDV. - Serve as a member of the executive leadership team. Represent the engineering department, provide strategic technical insights, and contribute to overall company strategy and decision-making. - Lead and scale the engineering organization (~50 people). - Cultivate a high-performance engineering culture and empower a world-class team of engineer

Director Of Engineering

Onfido

May 2022 - May 2025 (3 years 1 month)

The SDK department in Onfido is responsible for delivering a smooth customer experience for users embarking on their digital identity journey. We provide enterprise customers the integration with Onfido products, across platforms (iOS, Android, Web, API). We balance between enhancing data quality to prevent fraud with creating a frictionless on-boarding process. I am leading the SDK department with 3 engineering teams of around 30 people. In this role I am managing the technical and strategic roadmap for the department. Our tools are leveraging AI and advanced technologies across web, mobile and backend services.

Software Development Manager

Amazon

Jul 2020 - May 2022 (1 year 11 months)

Contribute to the technology roadmap to enhance customers’ discovery experience by organizing Amazon’s vast product selection into a Discovery Taxonomy Participate and drive technical designs and development for building cutting edge systems to curate product classification for billions of products on a global scale Develop global business process automation solutions solutions leveraging UX design, cloud, large scale back-end systems, analytics, and machine learning. Lead, coach and grow the team

Software Engineering Manager

Lyft

Nov 2019 - May 2020 (7 months)

Lead, coach and grow the team Contribute to the technology roadmap of autonomous vehicles Manage and enhance the creation of autonomous HD maps at scale Participate and drive technical designs and their development Manage and contribute to the development of products and features based on data driven approaches on modern infrastructures (Big data analytics, ML and cloud computing) for autonomous vehicles Engage and drive cooperations within the organization and with partners

Principal Research Engineer

Huawei Technologies

Nov 2018 - Oct 2019 (1 year)

- tech lead of the Big Data innovation team - incubation of cutting edge technologies with competitive value - architecture of new Big Data solutions, technologies and platforms - enhancement of Huawei Big Data cloud services - develop the technology roadmap in the area of Stream AI and ML - IPR in the area of distributed systems, stream processing, Big Data for cloud and large scale data analysis - ecosystem development and collaborations - solution development and innovation for enterprise customers

Staff Research Engineer

Huawei Technologies

Jul 2017 - Oct 2018 (1 year 4 months)

Big Data Architect - lead stream processing research and innovation - architecture of new Big Data solutions, technologies and platforms - enhancement of IT enterprise products, productization of innovation and development of Big Data (Cloud) services - IPR in the area of distributed systems, stream processing, Big Data for cloud and large scale data analysis - ecosystem development and collaborations - solution development and innovation for enterprise customers

Senior Research Engineer

Huawei Technologies

Jul 2016 - Jun 2017 (1 year)

Big Data Expert - architecture of new Big Data solutions, technologies and platforms - enhancement of IT enterprise products and productization of innovation - research in Big Data field and IPR regarding middleware, streaming, Big Data for cloud and large scale data analysis - ecosystem development and collaborations

Research Engineer

Huawei Technologies

Jan 2015 - Jul 2016 (1 year 7 months)

Cloud computing and Big Data specialist - research and design Big Data innovation solutions - build new large scale cloud-based systems - mount collaborative projects with external partners - investigate emerging technologies

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Internship

Microsoft - European Microsoft Innovation Center

Sep 2013 - Nov 2013 (3 months)

Enabled high performance real-time streaming across cloud data centers.

Visiting PhD Student

Argonne National Laboratory

May 2013 - Aug 2013 (4 months)

Working in the cloud Nimbus team under the supervision of Kate Keahey.

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Doctoral Program Fellowship

Mar 2013 - Dec 2014 (1 year 10 months)

Management and business innovation formation

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Internship

Aug 2012 - Nov 2012 (4 months)

The internship topic is related to the Venuc-C project and exploring storage backends for data management

PhD student

INRIA

Oct 2011 - Dec 2014 (3 years 3 months)

My thesis title is "Cloud data management for data-intensive applications". My work focuses on developing solutions for large data storage and management. In addition I am also interested in the programing models used to execute scientific applications (e.g. MapReduce, Dryad etc.)

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Intern

Jun 2009 - Aug 2009 (3 months)

Developing new Arithmetic Mathematic Operators for FloPoCo project

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Researcher

UTCN

Jan 2008 - Jun 2010 (2 years 6 months)

Developing cryptographic applications and random number generators both in software and hardware

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Radu Tudoran

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