Software Engineer - R&D Team @JFrog | CKA | CNCF Project LitmusChaos Maintainer | Go/Python | Kubernetes Operator | Docker | International Rated Chess Player
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litmuschaos
Data Scientist
June 17, 2026 – Present
JFrog
Data Scientist
June 17, 2026 – Present
jfrog-registry-operator
November 3, 2023 – Present
Enhancing AWS Security: JFrog's Seamless Integration and the Power of AssumeRole
View Projectmakecareereasy
December 4, 2020 – June 22, 2022
MakeCareerEasy is next version of CareerChela(http://careerchela.herokuapp.com/) which is initiated by Oum, Prajjwal and Vijay
View ProjectInvestigate-a-Dataset-of-No-show-Appointments
May 16, 2019 – May 17, 2019
Dataset collected information from 100k medical appointments and is focused on the question of whether or not patients show up for their appointment. A number of characteristics about the patient are included in each row. ●My study emphasized the need for more research for a better understanding of the problem. I made recommendations for prompting patients about their upcoming appointments, helping patients get transportation to healthcare facilities and making efforts to ensure better communication between the patients and the healthcare providers to understand the complex interplay between personal, systemic and financial(Scholarships) barriers in completing appointments.
View ProjectJFrog-Cloud-Installers
January 26, 2018 – Present
Template to deploy Artifactory Enterprise cluster.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a mix of infrastructure-related projects (Helm Charts, Kubernetes operators) and a single data science project. While the professional experience aligns with 'Data Scientist', the personal projects lean heavily towards DevOps/SRE tooling (Go, Shell, Dockerfile, Makefile, HCL, Mustache, Jinja). This suggests a potential mismatch in primary interest or a broad skill set that might not be deeply focused on data science principles, algorithms, and statistical modeling. The 'Investigate-a-Dataset-of-No-show-Appointments' project is a good start but is the only clear data science project.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test score is 0, providing no insights.