Rakuram
Embedded Software Test EngineerLearner
IndiaMember since June 12, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Learner
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
rust-repo-template
November 28, 2024 – November 28, 2024
rust-repo-template — GitHub repository
View Projectrakurame96.github.io
September 29, 2024 – April 9, 2025
Blog to share my everyday learnings
View Projectrencfs
April 4, 2024 – Present
An encrypted file system written in Rust that is mounted with FUSE on Linux. It can be used to create encrypted directories
View Projectnammaautosar.github.io
January 28, 2023 – January 28, 2023
A repo to create documentation for NammaAUTOSAR Project using Jekyll
View Projectproject_1_jsmn_parser
May 19, 2022 – June 1, 2022
jsmn is a world fastest JSON parser/tokenizer. Easily integrated with any embedded application which has less memory
View Projectawesome-autosar
November 28, 2021 – October 16, 2023
A collective list of awesome AUTOSAR videos, libraries, open-source repos, guides, blogs, and other resources
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate a strong self-learning drive and initiative, particularly in exploring new technologies like Rust and documenting learnings. The focus on embedded systems and AUTOSAR aligns well with the technical demands of an Embedded Software Test Engineer role. However, the lack of team-based projects or professional experience makes it difficult to assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style in a team setting.