Gagan S.
Global Advanced Quality at Enersys @EnerSys
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WORK HISTORY
Global Advanced Quality at Enersys @EnerSys
Burnaby, BC, CA
EDUCATION
Punjab Engineering College
Bachelor of Technology - BTech, Electrical and Computer Engineering
University of Connecticut
Master of Science (MS), Electrical and Electronics Engineering
ABOUT GAGAN S.
Experienced Senior Technical Engineer with a demonstrated history of working on Engineering Software/System Requirements, Validation, Automation, QA, Artificial Intelligence, Machine Learning, Technical Writing and Documentation, ASIC Physical Design Implementation. Engineering professional skilled in Software/Firmware Systems, Customer Management, Sales and Marketing.Experience of working and excelling in Fortune 500 | Large | Mid | Startups Global Quality Process Unification, Definition, Deployment & Engineering Training provided across all subsidiaries. Spearheaded AI project to customize Generative Pre-programmed Transformers using prompt engineering techniques to improve process efficiency 4x and reduce time consumed in key tasks by 80%. Automated Quality Planning Process, Quality review, Code development and Review process, KPI measurement through chat-GPT based prompt response engineering via customized GPTs. Published AI-use process and training for ramp up on Artificial intelligence tools & techniques.QA software testing including Functional, Regression, System Integration Testing (SIT), Acceptance (UAT), Browser compatibility and Performance Testing. Validation & Verification SW QA of medical software & hardware in FDA regulated - cGMP environment.Proficient in Framework implementation testing both Software products i.e.(Web API REST, Mobile applications) and Embedded Firmware (Linux) for End-to-end testing coverage writing unit, integration, API and UI/UX testsProficient in results-driven analytics with experience in Data Science & Big Data analytics. Major experience lies in Machine Learning, Deep Learning, Text Mining and Computer Vision with popular tools Python, RData Science Technical Skills Set-Python Libraries-(Pandas.sklearn.numpy.matplotlib.seaborn.keras.theano.tensorflow.Dash.Bokeh.Gensim.NLTK.OpenNlp)- Machine Learning, Deep Learning - BigData Analytics - Natural language processing(NLP)-Language(Python,Java,R, Scala)- Visualization(Tableau,Jupyter)- Data Mining (Weka,SVMLight,Matlab)- DocumentationPart of tasks related to SoC benchmarking and tapeouts Synthesis to Signoff. Worked on technology nodes 20nm, 28nm, 14nm, 10nm and lower.Proficient in Several Scripting Languages(Python, JavaScript, C, C++), LINUX environment
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