GNANVI VINAYAK

Intern

SRM University AP

Bangalore Urban, Karnataka, India

Since April 27, 2026

About

Motivated Computer Science undergraduate specialising in AI/ML, passionate about building technology that is both impactful & human-centered. Skilled in full-stack development & creative problem-solving. Seeking opportunities to contribute to innovative projects, collaborate with cross-functional teams and grow as a developer in a dynamic, challenge-driven environment.

Skills

Full-stackWeb DevelopersJavaScriptNode.jsPythonReact.jsAPI IntegrationMysqlNosqlGit-GitHubBackendTeam LeadershipCSSRest ApiMongoDBStatisticsReport WritingMERN StackHTMLPandas, NumPyRoboticsC++Generative AiScikit LearnFlaskFastapi

Education

SRM University AP

BTech · Computer Science

August 11, 2024 – May 30, 2028

Key Strengths

Strong academic background with a 9.13 CGPA in Computer Science (AI/ML).
Demonstrated proactive engagement in AI/ML and full-stack development through multiple projects, showcasing practical application of skills (Python, JavaScript, Node.js, React, AWS services).
Experience with AWS services (Transcribe, Translate, Bedrock, DynamoDB) in the context of AI-powered applications.
Active participation and recognition in hackathons (Special Mention, Finalist) indicate problem-solving abilities, rapid prototyping, and initiative.
Projects like 'NightLight' and 'JanSaathi' highlight an interest in building impactful, human-centered technology, aligning with a motivated intern profile.
Foundational understanding of core computer science concepts including Data Structures, Algorithms, and RestAPIs.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 indicates a complete lack of demonstrated cultural fit based on the provided assessment. This test evaluates critical aspects such as logical reasoning, work attitude, stress handling, and team collaboration. Without a positive score, there is no evidence to support cultural alignment.

Soft Skills & Operational Fit

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Key Strengths

Strong academic background with a 9.13 CGPA in Computer Science (AI/ML).
Demonstrated proactive engagement in AI/ML and full-stack development through multiple projects, showcasing practical application of skills (Python, JavaScript, Node.js, React, AWS services).
Experience with AWS services (Transcribe, Translate, Bedrock, DynamoDB) in the context of AI-powered applications.
Active participation and recognition in hackathons (Special Mention, Finalist) indicate problem-solving abilities, rapid prototyping, and initiative.
Projects like 'NightLight' and 'JanSaathi' highlight an interest in building impactful, human-centered technology, aligning with a motivated intern profile.
Foundational understanding of core computer science concepts including Data Structures, Algorithms, and RestAPIs.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit