Darian Frajberg, PhD

CTO

New York City, United States14 yrs 4 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Led development of scalable Enterprise AI solutions.
Expert in AI predictive maintenance for Oil and Gas.
Proven track record in cross-functional team leadership.

Stackforce AI infers this person is a SaaS expert specializing in AI solutions for enterprise applications.

Contact

dari.frajberg@gmail.com LinkedIn

Skills

Core Skills

Artificial Intelligence (ai)Technical LeadershipPredictive MaintenanceDeep LearningComputer VisionSoftware EngineeringFull-stack Development

Other Skills

AI SolutionsArtificial Neural NetworksAugmented RealityC++Cloud ComputingCross-functional Team LeadershipData AnalysisData CollectionData IntegrationData VisualizationDistributed SystemsEmbedded SystemsEnterprise AIEnterprise SoftwareGenerative AI

About

Senior technical leader with a PhD in Information Technology Engineering from Politecnico di Milano (Italy). Expertise in Software Engineering and Artificial Intelligence. Proven track record in designing, implementing, and deploying scalable Enterprise AI solutions, leading technical teams, and partnering with Product teams to drive measurable business and customer impact.

Experience

C3 ai

5 roles

Sr Manager / Principal Engineer – Forward Deployed Engineering | Global Technical Oversight

Promoted

May 2024 – Present · 1 yr 10 mos

Senior technical leader of a 200+ person organization, leading strategic vision and global technical excellence. Lead cross-functional programs to design and deliver scalable, generic, and rapidly deployable Enterprise AI products, with a particular focus in the Supply Chain space. Elevate engineering standards through mentorship and best practices, while accelerating innovation and driving successful AI solution deployments for the company’s largest customers—unlocking major deals and delivering measurable business and customer value.

Artificial Intelligence (AI)Software EngineeringCross-functional Team LeadershipAI SolutionsMachine LearningCloud Computing+6

Lead Software Engineer – Forward Deployed Engineering | Global

Promoted

Jun 2022 – May 2024 · 1 yr 11 mos

Technical leader overseeing and contributing hands-on to critical, high-impact projects, guiding and mentoring team members, driving key initiatives, disseminating knowledge, standardizing best practices, ensuring high company-wide impact, and collaborating with cross-functional teams to improve software products.

Artificial Intelligence (AI)Software EngineeringCross-functional Team LeadershipAI SolutionsMachine LearningCloud Computing+4

Senior Software Engineer – Forward Deployed Engineering | NA

Feb 2022 – Jun 2022 · 4 mos

Lead Engineer driving the development of several AI predictive maintenance solutions as part of the digital transformation at Royal Dutch Shell PLC

Artificial Intelligence (AI)Software EngineeringData IntegrationAI SolutionsMachine LearningComputer Vision+6

Senior Software Engineer – Forward Deployed Engineering | EMEA

Jun 2021 – Feb 2022 · 8 mos

Lead Engineer driving the development of several AI predictive maintenance solutions as part of the digital transformation at Royal Dutch Shell PLC.

Artificial Intelligence (AI)Software EngineeringData IntegrationAI SolutionsMachine LearningComputer Vision+6

Software Engineer – Forward Deployed Engineering | EMEA

Nov 2019 – Jun 2021 · 1 yr 7 mos

1st technical hire in the Amsterdam office and 25th Forward Deployed Engineer in the company; playing a key role in building a high-performing customer-facing technical team in the Netherlands from the ground up and delivering substantial value to major EMEA customers.

Artificial Intelligence (AI)Software EngineeringData IntegrationAI SolutionsMachine LearningCloud Computing+5

Clarifai

PhD Intern, Applied Machine Learning

Oct 2018 – Dec 2018 · 2 mos · New York, USA

Developed a Computer Vision system using Machine Learning and Deep Neural Networks to analyze images and videos for surveillance detection, and contributed to enhancing platform testing framework for object detection, as well as building a visual inspection tool to analyze model errors.

Deep LearningSoftware EngineeringMachine LearningPythonComputer VisionObject Detection

Politecnico di milano

2 roles

Research Assistant

Sep 2015 – Oct 2019 · 4 yrs 1 mo

Research in Advanced Web and Mobile Technologies, Augmented Reality, Computer Vision, Artificial Intelligence, Machine Learning, Crowdsourcing and Software Engineering.
Attended conferences and events:
IEEE International Conference on AI and Mobile Services (AIMS 2019), San Diego, USA
Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, USA
Applied Machine Learning Days (AMLD 2019), Lausanne, Switzerland
Advanced Course on Data Science & Machine Learning (ACDL 2018), Certosa di Pontignano, Italy
27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), Stockholm, Sweden
Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, USA
4th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2017), Tokyo, Japan
26th International Conference on Artificial Neural Networks (ICANN 2017), Alghero, Sardinia, Italy
International Summer School on Deep Learning 2017 (DeepLearn 2017), Bilbao, Spain
4th International Conference on Mobile Software Engineering and Systems (MOBILESoft 2017), Buenos Aires, Argentina
24th ACM International Conference on Multimedia (ACMMM 2016), Amsterdam, The Netherlands
3rd International Conference on Augmented Reality, Virtual Reality and Computer Graphics (SALENTO AVR 2016), Otranto, Italy
16th International Conference on Web Engineering (ICWE 2016), Lugano, Switzerland

Deep LearningArtificial Intelligence (AI)Software EngineeringMobile Application DevelopmentWeb TechnologiesComputer Vision

Teaching Assistant & Tutor

Sep 2015 – Oct 2019 · 4 yrs 1 mo

Courses:
Web Technologies (2018 - 2020)
Software Engineering (2017 - 2018)
Mobile Applications (2016 - 2017)
Advanced Web Technologies (2015 - 2017)

Flux it

Software Engineer, Full-Stack Development

Jul 2014 – Aug 2015 · 1 yr 1 mo · Argentina

Designed and developed a corporate business portal website, implemented integration services with Navis Terminal Operating System (SPARCS N4), gathered and analyzed business requirements, and delivered software maintenance, consulting, and technical support to improve operational efficiency.
Used technologies: Java, J2EE, Maven, OOP, AOP, Spring MVC, Hibernate, SQL, WebServices, CXF, Sonar, JUnit, JSP, HTML, Javascript, Jquery, Ajax, XSLT, Velocity, JasperReports, NAVIS N4, NAVIS N4 BILLING.

Software EngineeringWeb TechnologiesFull-Stack DevelopmentSpringJava