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Principal Architect | Building Industry Solutions (Industrial IoT/GenAI/Machine Learning) at Amazon Web Services
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Assessing your cultural and operational fit
Seasoned practitioner helping customers architect systems and solve technical problems. Using Cloud computing, IoT, Data Science, Maths and Machine Learning Techniques to innovate new solutions and help customers bring the data to works.
Sardar Beant Singh State University (SBSSU), Gurdaspur
Bachelor of Engineering - BE, Computer Science
N/A – Present
Amazon Web Services (AWS)
Principal Partner Solutions Architect
April 1, 2024 – Present
Amazon Web Services (AWS)
Sr. Partner Solutions Architect
June 1, 2018 – April 1, 2024
Avenue Code
Cloud Architect, Machine Learning Engneering
June 1, 2016 – June 1, 2018
San Francisco Bay Area
Paradigm Management Services, LLC
Software Architect Lead
April 1, 2010 – June 1, 2016
Walnut Creek, CA
HTC Global Services
Application Architect
February 1, 2008 – April 1, 2010
Barclays Bank
Senior Consultant, Software Development
June 1, 2006 – February 1, 2008
University of Phoenix
Consultant, Application Development
September 1, 2005 – June 1, 2006
EFI
Software Engineer
June 1, 2001 – September 1, 2005
AWS Certified Solutions Architect - Professional
Amazon Web Services (AWS)
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's extensive experience across various companies and roles, including a significant tenure at AWS, demonstrates adaptability and a broad understanding of different organizational cultures. Their work with ISVs and partners suggests a collaborative approach. However, the resume does not explicitly detail involvement in community projects or open-source contributions, which could further enhance cultural fit in some environments. The target role of ML Engineer aligns with their recent focus on Machine Learning and Generative AI at AWS, indicating a strong interest in the domain.
Soft Skills & Operational Fit
The candidate's career progression from Software Engineer to Principal Partner Solutions Architect at AWS indicates strong leadership, problem-solving, and client-facing skills. Their experience in mentoring and leading development teams suggests good collaboration and communication abilities. The focus on architecting disruptive solutions implies an innovative and strategic mindset.