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IBM
Data Scientist
June 16, 2026 – Present
Validating-the-TCP-LP-implementation-in-ns-3
October 3, 2018 – November 12, 2018
Validate the ns-3 implementation of TCP Low Priority in DCE
View ProjectImplementation-of-Balanced-RED-in-ns-3
February 23, 2018 – February 24, 2018
Implementation of Balanced RED AQM in ns-3
View ProjectAlignment-of-PIE-implementation-of-Linux-Kernel-with-RFC-8033
October 4, 2017 – January 30, 2019
Alignment-of-PIE-implementation-of-Linux-Kernel-with-RFC-8033 — GitHub repository
View ProjectImplementation-of-PI-Square-Algorithm-in-Linux-kernel
September 12, 2017 – November 5, 2017
Implementation of PISQUARE Algorithm in Linux kernel
View ProjectImplementation-of-TCP-Jersey-in-ns-3
March 6, 2017 – April 14, 2017
Implementation of TCP-Jersey in ns-3
View ProjectImplementation-of-Gentle-BLUE-in-ns-3
January 16, 2017 – March 17, 2017
Implementation of Gentle BLUE (G-BLUE) algorithm in ns-3
View ProjectImplementation-of-SCRED-in-ns-3
September 17, 2016 – August 18, 2017
Implementation of Self Configuring RED (SCRED) algorithm in ns-3
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on low-level system programming, network simulation, and kernel development, which, while technically demanding, do not directly align with typical data science project diversity (e.g., machine learning, statistical modeling, data visualization). The single listed professional experience as 'Data Scientist' at IBM is current but lacks details, making it difficult to assess alignment with a data science culture. The projects indicate a strong individual contributor profile in highly technical domains.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or problem-solving approaches. No psychometric test results are available.