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Software Engineer at Google.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Google LLC
Data Scientist
June 25, 2026 – Present
jampi-spark-dotmatrix
May 21, 2020 – March 1, 2021
Matrix Multiplication in Spark using Barrier Mode
View ProjectSparkStreamSources
January 14, 2019 – January 19, 2019
Spark Custome Stream Source and Sink
View Projectmaprdb-cleaner
December 8, 2018 – September 29, 2020
A small tool to clean MapR-DB based on queries
View ProjectParallel-Computing-MPI-Matrix-Multiplication
April 24, 2018 – April 24, 2018
Cannon Algorithm Implementation for matrix multiplication using MPI
View ProjectNetChecker
February 7, 2018 – July 17, 2018
.NET Minimalist Property Based Testing Framework
View Projectminikaf
March 20, 2017 – October 8, 2018
Minikaf is a minimal implementation of Publish / Subscriber for in memory communication.
View ProjectPCF-Compiler
November 10, 2015 – March 7, 2016
A compiler for PCF (Programming Language for Computable Functions) Ported from F# to Scala
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal development and exploration of various technologies (Scala, C++, Go, Python). This indicates a self-starter mentality and a passion for learning, which can be a good cultural fit for innovation-driven environments. However, the projects are predominantly personal and lack explicit team collaboration or real-world impact descriptions, making it difficult to fully assess collaborative cultural fit. The target role is 'Data Scientist', and while many projects involve data-related technologies (Spark, MapR-DB), the direct application of data science methodologies (e.g., machine learning, statistical modeling) is not explicitly detailed in the project descriptions. The current role at Google LLC as a Data Scientist aligns well with the target role, but without further details on responsibilities, it's hard to gauge the depth of alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.