Sai Krishna Datt Sharma Suddhapally in

Sai Krishna Datt Sharma Suddhapally

Critic · DISC type C
Lead Software Engineer at Gainsight
📍 Andhra Pradesh, India

Sai Krishna Datt Sharma Suddhapally is a Lead Software Engineer at Gainsight, specializing in scalable solutions using Java, Spring, and Python. He has deep expertise in Microservices, REST/SOAP APIs, and cloud technologies.

He is involved in innovative projects integrating Generative AI, focusing on advanced embedding creation, LangChain integration, and developing assistance APIs using Azure OpenAI SDK. He studied at Jyothishmathi Institute Of Technology and Science.

He received an award for first place in a programming contest organized by the Kiran Foundation.

Read the full overview →
Experience
10 Years
Current Role
Lead Software Engineer
Job Level
Middle
Location
Andhra Pradesh, India
Personality Overview

How Sai shows up

Objective Thinker
Precise
Information Seeker

They like to do things independently and don’t look for support from others. They don’t appreciate bells and whistles unless backed by data. They choose to analyze logically and value facts to emotions.

Priorities

Topics Sai cares about

Generative AI
Currently focused on integrating Generative AI, including advanced embedding creation, indexing, and LangChain integration at Gainsight.
Cloud Technologies
Possesses a strong foundation in AWS and Azure, crucial for architecting high-performance, scalable solutions.
+4 more topics Login to view topics
Career

Work history

3-2022
Lead Software Engineer
Gainsight
1-2020 - 3-2022
Senior Software Engineer
Gainsight
8-2018 - 1-2020
Associate Consultant
Capgemini
7-2015 - 8-2018
Analyst
SumTotal Systems, LLC
In the press

Media appearances

No media yetWe could not find public media appearances for this person.
Education
2011 - 2015
Bachelor of Technology (B.Tech.)
Jyothishmathi Institute Of Technology and Science
2009 - 2011
Intermediate
Trinity Junior College, Karimnagar
Social presence
in
Behavioral profile

DISC profile (public)

C

Calculativeness (C)

Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.

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