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Red Hat
Data Scientist
June 16, 2026 – Present
backup-tripleo-validations
May 4, 2023 – May 5, 2023
backup-tripleo-validations — GitHub repository
View Projectovs-dpdk-validation
April 26, 2023 – April 26, 2023
ovs-dpdk-validation — GitHub repository
View Projectfdp-visibility-playbooks
December 22, 2021 – January 7, 2022
These scripts parses OVS logs collected on given servers through the Ansible OVS module and provide insights into the datapath behaviour of that system. These insights help in debugging different observed behaviors like, increase in various packet drop counters in OVS-DPDK and other configurations.
View Projectplaybooks
December 16, 2021 – September 22, 2023
Collection of playbooks used by the Red Hat NFV integration team
View ProjectVM-using-ansible
February 13, 2020 – February 13, 2020
Create, install VM and change its hostname using ansible
View ProjectHuman-Activity-Recognition
April 23, 2019 – April 23, 2019
The project aims at Human activity classification into 7 classes. Built a shallow CNN model of 3 layers , a fully connected layer and classified using softmax classifier. Libraries used are Tensorflow and Numpy.
View ProjectScene-Classification
April 23, 2019 – April 23, 2019
The project aims at scene classification which involved 8 classes in three methods.Initially implemented K-means clustering algorithm to figure visual word dictionary using SIFT features. Secondly, applied transfer learning with pre-trained AlexNet model trained over ImageNet dataset and applied Fine tuning. Finally designed ResNet18 model. Also experimented this model over CIFAR10 dataset.
View ProjectCultural Fit Analysis
The candidate has a diverse set of personal projects, ranging from network-related scripting and validation to machine learning applications. The current role at Red Hat as a Data Scientist aligns well with the target role. The variety of projects suggests an interest in different technical domains, which could contribute positively to team dynamics. However, the descriptions are very brief, limiting a deeper assessment of collaborative or independent work styles.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and no psychometric or English test scores are provided.