Shreyas I. profile photo

Shreyas I.

Cloud Engineer at IBM (Silicon Valley Labs)

Cloud EngineeringDeep LearningMachine LearningPredictive AnalyticsTechnical ConsultingBig Data

About

I'm Shreyas I., a Cloud Engineer at IBM's Silicon Valley Labs. My professional journey has taken me from a background in electrical engineering and technical consulting in Bangalore to completing my MS at Johns Hopkins and diving deep into cloud infrastructure. I am particularly passionate about the intersection of academic research and industrial application, specifically within AI and Deep Learning—I even co-authored a published work on car damage detection. Beyond the cloud, I have a background in animal welfare management and a strong belief in collaborative growth. I’m here to connect with fellow tech enthusiasts and researchers to discuss digital transformation, cloud engineering, and how we can apply data science to solve real-world problems.

Networking

What I can offer

  • Expertise in cloud infrastructure and technical consulting
  • Research-backed insights into AI and car damage detection models
  • A blend of academic depth and industrial application

Looking for

  • expanding my professional network
  • exploring mutual opportunities in the tech and cloud industry

Best fit for

Cloud professionalsAI researchersJohns Hopkins alumniTech industry leaders

Current Interests

Digital transformationComputer VisionAnimal welfareCloud infrastructureData science applications

Background

Career

Transitioned from business analysis and technical consulting in India to cloud engineering at IBM in Silicon Valley following a Master's at Johns Hopkins.

Education

MS in Information Systems from The Johns Hopkins University (2021–2022); BTech in Electrical Engineering from PES University (2016–2020).

Achievements

  • Published author of 'Deep Learning for Car Damage Detection' (World Scientific Publishing, 2023)
  • Recipient of the Dean’s Merit Scholarship at Johns Hopkins University

Opinions

  • Collaborative growth is essential; professional success is often a result of peer support and academic foundations.
  • Academic research and 'learnings' should be applied directly to industrial cloud engineering roles.