About

Poornachandra H D is an experienced Functional Safety Engineer with a focus on ISO26262, AUTOSAR, Electric Vehicle, and ePowertrain technologies. With over 5.78 years of relevant experience, Poornachandra has a strong background in planning, developing, coordinating, and tracking various functional safety activities in compliance with the “ISO-26262: Road Vehicles – Functional Safety” standard. Poornachandra has extensive experience in analytical techniques like Failure Mode and Effects Analysis (FMEA), Fault Tree Analysis (FTA), Dependent Failure Analysis (DFA), Hazards and Operability (HAZOP), and Hazard Analysis and Risk Assessment (HARA). Poornachandra has hands-on experience in Machine Learning, Neural Networks (CNN, RNN - LSTMs), and programming knowledge of C, Python, C#, XAML, and SciLab. Poornachandra has worked with tools like Medini, APIS IQ, SVN, Enterprise Architect, SciLab, MATLAB, Octave, Redmine, Visual Studio, JIRA, Confluence, Bitbucket, Crucible, Polyspace, and Polyspace Access. Currently working as an Automotive Functional Safety Engineer at GKN Automotive via Tata Technologies Limited, Poornachandra is responsible for working on system and software levels. Previously, Poornachandra has worked as an Automotive Functional Safety Engineer at Tata and as a Functional Safety Engineer at Avin Systems. Poornachandra has a Bachelor of Engineering (B.E.) degree in Electronics and Communication Engineering from PES College. Poornachandra also completed 11th-12th grade from Hongirana Independent PU College and 6th-10th grade from Hongirana School of Excellence. Poornachandra's tech stack includes Keras, CNN, RNN, Scikit, Search, Python, ML, TensorFlow, Neural Networks, Pytorch, and Senior Software Engineer.