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Assessing your cultural and operational fit
sre-incident-copilot
May 22, 2026 – Present
Read-only SRE diagnostic copilot that lives inside Slack alerts. Walks on-call engineers through runbook steps, suggests diagnostic commands, blocks irreversible changes until a human approves, and logs every decision with a full audit trail.
View Projectmy-first-github-action
November 3, 2022 – November 4, 2022
my-first-github-action — repository
View ProjectDeep-Learning-course-on-One-Fourth-Labs
February 3, 2019 – March 10, 2019
Repo to keep track of learning on the Deep Learning practicals
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate a broad range of interests, from systems programming (Rust, Go) to AI/ML (Python, Jupyter Notebook) and SRE tooling. This diversity suggests adaptability and a continuous learning mindset. The focus on personal projects, including competitive programming ('neetcode-submissions'), indicates self-motivation and initiative. The 'sre-incident-copilot' project, in particular, shows an inclination towards building practical solutions for real-world problems, which aligns well with a culture that values innovation and problem-solving. The breadth of technologies used also suggests an openness to exploring new tools and paradigms.
Soft Skills & Operational Fit
The candidate's project descriptions, while brief, indicate a proactive approach to learning and building. The 'sre-incident-copilot' project suggests an understanding of incident management and automation, which implies a problem-solving mindset and attention to operational details. However, without formal assessment data (English Test, Psychometric Test), it is difficult to fully assess communication clarity, work attitude, stress handling, or team collaboration.