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Staff SWE @yugabyte
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yugabyte
Data Scientist
June 20, 2026 – Present
debezium-connector-yugabytedb
May 23, 2022 – Present
A Debezium CDC connector for the YugabyteDB database
View Projecticecanedb
October 22, 2020 – October 19, 2021
A hobby distributed OLTP SQL database management system for learning purposes
View Projectcs-571
October 18, 2019 – November 22, 2019
Lab Assignments for CS-571 Artificial Intelligence at IIT Patna
View Projecttask-offloading-maze-solver
September 26, 2019 – September 28, 2019
Batch image processing by task offloading using Kubernetes
View ProjectHacking-The-Kernel
January 18, 2019 – January 23, 2019
Implementation of Alarm clock, Priority and Multilevel feedback queue scheduler in educational PintOS.
View ProjectCS359-Computer-Networks-Laboratory
January 16, 2019 – April 22, 2019
Network Protocols and Simulations implemented as a part of CS359 - Computer Networks Laboratory
View ProjectStackoverflow-Predictor
February 8, 2018 – April 17, 2018
:computer: Machine Learning driven Web application to predict whether a Stackoverflow question will be closed or not.
View ProjectIITP-Connect
August 15, 2017 – August 2, 2021
The Android app for the IIT Patna student community by the student community. 📱
View ProjectMy-Companion
June 17, 2017 – October 31, 2019
:computer: :notebook_with_decorative_cover: Android app that caters to the need of an undergraduate student
View ProjectInstant-Messenger
June 2, 2017 – June 2, 2017
A Client-Server communication system written in Java
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards software development, distributed systems, and some machine learning applications. While there are projects related to AI and ML, the overall profile leans more towards a Software Engineer or Systems Engineer rather than a dedicated Data Scientist. The current role as 'Data Scientist' at Yugabyte is noted, but without further details on responsibilities, it's hard to fully align with the target role based solely on personal projects. The diversity of projects indicates a strong learning drive and ability to work across different technology stacks.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.