Ramu Halemani

Angestellt, Technical Lead, KPIT Technologies

Bengaluru, Indien

Über mich

ADAS Feature developer(Control Algorithms) with 8+ years of working in Automotive industry. Skilled in MDB development for ADAS. Experience in complete SDLC according to A-SPICE & Agile. Work experience in AUTOSAR Application Layer and good Knowledge in AUTOSAR(Classic) architecture. Team Player. Strong in problem solving, analytical thinking, programming & debugging. Key experiences: - Good development experience in Lateral & Longitudinal control algorithms for ADAS features i.e. LDW, LKA, eLKA Road Edge, eLKA BLIS, eLKA Front Object, eLKA VRU, LCP (Part of ACC) applications. - Automation test cases writing for LSS and LCP features - Integrating the Software model with Vehicle model and Performing Simulation (SIL) in dSPACE environment. - Software Architecture design of Event data recorder application for 3th gen Front Camera. - Responsible for interface specifications, state flow design, Simulink implementation and Bench testing. - Good working experience in Scrum/AGILE methodology.

Fähigkeiten und Kenntnisse

Git
MatLab
Simulink
Stateflow
Visual C / C++
PTC
CANalyzer
BTC embedded tester
SystemWeaver
ADAS
TargetLink
Embedded Coder
MobilieyeEyeq4
AUTOSAR
GoogleTest
DSpace
ControlDesk
ModelDesk
VEOS

Werdegang

Berufserfahrung von Ramu Halemani

  • Bis heute 4 Jahre und 9 Monate, seit Sep. 2019

    Technical Lead

    KPIT Technologies
  • 2 Jahre und 1 Monat, Aug. 2017 - Aug. 2019

    Software Developer

    Wabco India Ltd

  • 2 Jahre und 10 Monate, Jan. 2013 - Okt. 2015

    Software Developer

    Wipro Technologies

Ausbildung von Ramu Halemani

  • 2 Jahre, Sep. 2015 - Aug. 2017

    Digital electronics

    Visvesvaraya Technological University-(VTU, Belgaum, Karnataka

  • 4 Jahre, Sep. 2008 - Aug. 2012

    Electronics and Communication Engineering

    Visvesvaraya Technological University-(VTU, Belgaum, Karnataka

Sprachen

  • Kannada

    Fließend

  • Englisch

    Fließend

  • Hindi

    Fließend

Interessen

Autonomous driving
MatLab
Commercial vehicle
Visual C++
Advanced driver assistance systems

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