Ruhaan Kumar

Software Engineer

https://talent.gravityer.com/ruhaan-kumar

🧗‍♂️😄🤩🤖😛

Member since June 21, 2026

Key Strengths

Demonstrated interest in AI/ML engineering through the 'Practical-AI-engineering' project.
Self-directed learning initiative shown by contributing to an open-source LLM curriculum.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's single project, 'Practical-AI-engineering', indicates a strong interest in cutting-edge AI/ML technologies and open-source contributions. This aligns with a culture that values innovation and continuous learning. However, the lack of diverse projects or team-based experience makes a comprehensive cultural fit assessment challenging. The target role 'Software Engineer' is broad, and the candidate's focus on AI/ML suggests a potential fit for roles within that specialization.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, indicating no completion or data.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Practical-AI-engineering

June 11, 2026 – Present

The complete open-source LLM curriculum — prompt engineering, RAG, fine-tuning, agents, and production deployment. Beginner to advanced. Python. Free forever.

View Project

Key Strengths

Demonstrated interest in AI/ML engineering through the 'Practical-AI-engineering' project.
Self-directed learning initiative shown by contributing to an open-source LLM curriculum.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, indicating no completion or data.