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Kaustubh (Sai) Sivalenka
Software Engineer at Amazon Connect (AWS)
Education Overview
• stony brook university
• mahindra university
Companies Overview
• amazon
• unicef
• stony brook university
• national remote sensing centre
• kohli center on intelligent systems iiit hyderabad
• ecp
Experience Overview
4.1 Years
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Experience
Research Intern
kohli center on intelligent systems iiit hyderabad | Gachibowli, Hyderabad
2017 - 2017
Skills
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Amazon Web Services (AWS)
Application Programming Interfaces (API)
Applied Machine Learning
Data Pipelines
Java
Machine Learning (ML)
Representational State Transfer (REST)
Research
Research Scientist
REST
REST APIs
Serverless
Software Engineer
User Experience
User Experience (UX)
Web
Web Services
Contact Details
Email (Verified)
kauXXXXXXXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXXXXEducation
stony brook university
Master of Science - MS
2018 - 2020
mahindra university
Bachelor of Technology (BTech)
2014 - 2018
Frequently asked questions
What company does Kaustubh (Sai) Sivalenka work for?
Kaustubh (Sai) Sivalenka works for amazon
What is Kaustubh (Sai) Sivalenka role in his workplace?
Kaustubh (Sai) Sivalenka's role in his workplace is Software Engineer
What is Kaustubh (Sai) Sivalenka's tenure in his workplace?
Kaustubh (Sai) Sivalenka's tenure in his workplace is 4.34 years
What is Kaustubh (Sai) Sivalenka's total experience?
Kaustubh (Sai) Sivalenka's total experience is 4.08 years
What is Kaustubh (Sai) Sivalenka's LinkedIn profile?
What is Kaustubh (Sai) Sivalenka's email address?
What is Kaustubh (Sai) Sivalenka's phone/WhatsApp number?
What schools did Kaustubh (Sai) Sivalenka attend?
Kaustubh (Sai) Sivalenka has attended stony brook university, mahindra university
What companies has Kaustubh (Sai) Sivalenka worked with?
Kaustubh (Sai) Sivalenka has worked with amazon, unicef, stony brook university, national remote sensing centre, kohli center on intelligent systems iiit hyderabad, ecp
What are some of Kaustubh (Sai) Sivalenka's skills?
Kaustubh (Sai) Sivalenka has skills in Amazon Web Services (AWS), Application Programming Interfaces (API), Applied Machine Learning, Data Pipelines, Java, Machine Learning (ML) and more.
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