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Aravindhan Ramesh

Angestellt, Lead Agile Enterprise Transformation Coach, Aptiv
Wuppertal, Deutschland

Fähigkeiten und Kenntnisse

Agile
Agile Methods
Coaching
Scaled Agile Framework
KANBAN
Scrum
Certified Scrum Master
Certified Coach
Software Development
Quality Assurance
Agile Development

Werdegang

Berufserfahrung von Aravindhan Ramesh

  • Bis heute 5 Jahre und 4 Monate, seit Feb. 2020

    Lead Agile Enterprise Transformation Coach

    Aptiv

    Driving the agile transformation for the Active Safety Business Unit in Europe with approx. 6000 employees across 12 nations and 30 cross-functional areas. Laid out a vision roadmap after consulting with leadership for the rollout of a culture promoting collaboration and learning. Analyzed various Agile methodologies (Kanban, Scrum, XP, SAFe, Nexus, LeSS) to adopt a customized framework that works best for growth of each organization. Offering organization-specific guidance through customized trainings

  • 1 Jahr und 1 Monat, Jan. 2019 - Jan. 2020

    Scrum Master/Algo Developer, Blindspot Monitoring

    Aptiv

    Led a team of 3 developers towards creating from scratch, a model-based (MATLAB/Simulink) Blindspot Monitoring algorithm. Planned and facilitated daily/bi-weekly scrum ceremonies; Brought down impediment and risk resolution timeframe by 36%. Supported successful deployment of the algorithm in 1 million+ vehicles across 2 OEMS and 5 vehicle lines. Supported software requirement creation, architecting of detailed design, code reviews and unit testing activities.

  • 1 Jahr, Feb. 2018 - Jan. 2019

    Product Owner, Electric Architecture

    Aptiv

    Developed ground-up Delphi's 48V hybrid architecture, using the Belt driven starter generator. Worked with global teams in handling customer communications and successfully deploying this architecture in the US and Chinese markets. Enabled the implementation of agile methodology in the scrum team by facilitating trainings, leading scrum ceremonies and empowering members.

  • 1 Jahr, Feb. 2017 - Jan. 2018

    Algorithm Developer, Gasoline Particulate Filters

    Delphi Technologies

    Drove the complete development of control algorithms for Gasoline Particulate Filters for 3 Chinese OEMs to help comply with China 6 emission standards. Architected soot estimation models and regen control algorithms for diesel and petrol variants using PID and MPC controllers in MATLAB/Simulink. Supervised successful vehicle calibration of Delphi's global GPF programs.

Ausbildung von Aravindhan Ramesh

  • 1 Jahr und 5 Monate, Aug. 2015 - Dez. 2016

    Mechanical Engineering

    University of Michigan, Ann Arbor

  • 3 Jahre und 10 Monate, Aug. 2011 - Mai 2015

    Mechanical Engineering

    National Institute of Technology Karnataka

Sprachen

  • Englisch

    Muttersprache

  • Hindi

    -

  • Tamil

    -

  • Kannada

    -

  • Malayalam

    -

  • German

    -

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