Manjunath S

India

Since December 23, 2025

Skills

QA EngineersPythonJavaDevOpsAutomation TestingPostmanGit-GitHubMysqlSelenium WebDriverAI EngineersWeb Developers

Experience

Amazon

ML Summer School

August 1, 2025 – October 1, 2025

Bengaluru, India

Key Strengths

Strong foundational knowledge in Python, SQL, Data Structures, Algorithms, and Object-Oriented Programming, highly relevant for a Python/SQL role.
Demonstrated hands-on experience in backend development using FastAPI, microservices, and REST APIs.
Practical experience with databases including MongoDB and MySQL, providing a solid base for database interaction.
Significant exposure to Machine Learning, Natural Language Processing, and Deep Learning through multiple projects and the Amazon ML Summer School internship.
Experience with ML Ops concepts, including model deployment, monitoring, and performance tracking, indicating an understanding of production-grade systems.
Exposure to cloud concepts and AWS, which is beneficial for modern data and ML pipelines.
The candidate's experience level and listed skills align well with the 'Python / SQL – CrateDB Intern' target role, demonstrating strong technical potential for an intern.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0, which directly assesses logical reasoning, work attitude, stress handling, and team collaboration, indicates a complete lack of assessed cultural fit or a failure to complete the assessment. This is a critical concern that requires further investigation.

Soft Skills & Operational Fit

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Strong foundational knowledge in Python, SQL, Data Structures, Algorithms, and Object-Oriented Programming, highly relevant for a Python/SQL role.
Demonstrated hands-on experience in backend development using FastAPI, microservices, and REST APIs.
Practical experience with databases including MongoDB and MySQL, providing a solid base for database interaction.
Significant exposure to Machine Learning, Natural Language Processing, and Deep Learning through multiple projects and the Amazon ML Summer School internship.
Experience with ML Ops concepts, including model deployment, monitoring, and performance tracking, indicating an understanding of production-grade systems.
Exposure to cloud concepts and AWS, which is beneficial for modern data and ML pipelines.
The candidate's experience level and listed skills align well with the 'Python / SQL – CrateDB Intern' target role, demonstrating strong technical potential for an intern.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit