Nicolae Petridean

Tech
Machine Learning
Vetted by
Machine learning engineer. Experienced hands-on software engineer & architect

Skill

Experience

Vetting results

Machine Learning

16
yr.
Software Engineering&Architecture;Python;Spark;TesorFlow;Java

Certifications

Experience

Skills

- Python, Java, C++

- Spark

- Hadoop

- SciKit-Learn, TensorFlow

- AWS

Work Experience

Lead Machine Learning Engineer, Southeast Asia's, 2021 - present

We solve critical transportation challenges and make transport freedom a reality for 650 million people in the region. We believe anyone should be able to go anywhere and trust that they can book a safe ride.

PhD Candidate - Computer Vision, Cluj, 2020 - present

3D computer vision, deep learning. Machine Learning. Segmentation for 3D scene: instance, semantic and panoptic. Scene understanding.

Machine Learning Engineer Software Engineer Software Architect, Porsche Engineering, 2017 - 2021


One of the software companies inside VW group, mainly connected to Porsche AG software projects. I joined the company in it's early days in Romania, basically starting the big data and machine learning team. Being early on the team, I was also responsible of project bidding and acquisitions, hiring and later on guiding the team from a technical perspective. Later I also took over the role of technical responsible for Machine Learning team.

Projects :

Friction Map: build a proof of concept, a digital map, estimating the friction coefficient on public roads, using car sensor data and public information like the one provided by HERE maps. Sensor data analytics.
Skills:
Python, Java, Maven, Spark, Spark Streaming ingestion pipeline,Hadoop, SciKit-Learn, TensorFlow - using a private cloud

CarDataBox: integration between car and cloud, using a bidirectional data link. Data gathering and storage. Sensor data analytics.

Skills:
Python, C++, Java, Spark, Spark Streaming, Hadoop, AWS, Kera & TensorFlow Level3/4 HighWay Pilot: self driving redundant component responsible for safety in general, trajectory prediction and collision detection.

Cut-in Detection: detect earlier a possible situation where another movable object could make a maneuver inside ego lane. Goal was to detect this situation as early as possible.

Skills:
Python, Recurrent Neural Networks, Keras & TensorFlow, SciKit-Learn

Software engineer Software Architect, Neverfail, 2016 - 2017

Worked on a the secure Workspace-as-a-Service (WaaS) solution, supporting multi-cloud and multi-tenant, enabling management and secure access to applications in customer environments, using almost any device. The solution supported building, migrating, management of secure mission-critical workloads through a single interface. Public cloud identity and authorisation management platform

Software architect, ISDC - A Member of the Endava Group, 2012 - 2016

Projects & activities I was involved in:

Banking, crowd funding and pensions industry
   -  software architect for mutiple products across multiple clients
   -  Continuous Delivery. Deployment automation, test automation framework
   based, BDD with Cucumber
   -  Identity and Authorisation Management

Lead Software Engineer, Endava, 2012 - 2012

- Leading and managing a team of software engineers

- Designing and architecting software systems

- Collaborating with cross-functional teams

Software Engineer, Betfair, 2011 - 2012

- Developing and maintaining software application

- Mentoring and coaching new team members

- Communicating with team members, stakeholders, and clients

- Bug fixing

Software Engineer, ISDC, 2007 - 2011

- Creating and upkeeping software application

- Guiding and supporting new team members through mentoring and coaching

- Engaging in communication with team members, stakeholders, and clients.

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Nicolae Petridean

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