Shubham Kumar

Amazon

Patna, Bihar, India

Since February 19, 2026

Skills

PythonPyTorchWeb DevelopersTestingSQLMachine LearningAPI IntegrationProgrammingLinuxReact.jsNode.jsData ModelingAutomationAI EngineersPostmanTensorFlowAWSMongoDBMysql

Experience

Amazon

ML Engineer

August 1, 2025 – Present

Open Source Hackathon -2023

Hacktoberfest Winner

September 1, 2023 – October 1, 2023

OasisInfoByte

Software Engineer Intern

May 1, 2023 – June 1, 2023

Key Strengths

Strong foundational knowledge in Deep Learning, Large Language Models (LLMs), Inference, and Reinforcement Learning, directly relevant to an AI Engineer role.
Demonstrated practical application of ML frameworks like TensorFlow and PyTorch through projects and a future role description.
Experience in optimizing model training using distributed strategies, indicating an understanding of scalable ML systems.
Relevant certification: Oracle Cloud Infrastructure 2025 Certified Data Science Professional, showcasing proactive learning and theoretical depth.
Hands-on project experience in building AI-powered systems (e.g., 'AI Resume Buddy') and full-stack applications, valuable for end-to-end ML deployment.
Future ML Engineer role at Amazon (starting 2025) indicates high potential and industry recognition, despite being a student with 0 years of completed professional experience.
Proficiency in multiple programming languages (Python, Java, C++) and web development frameworks (Node.js, React.js, Express.js), providing a versatile skill set.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 is a significant red flag for cultural fit, suggesting potential issues with adaptability, teamwork, and alignment with professional work environments. This score indicates a fundamental mismatch that would need to be thoroughly addressed.

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 Deep Learning, Large Language Models (LLMs), Inference, and Reinforcement Learning, directly relevant to an AI Engineer role.
Demonstrated practical application of ML frameworks like TensorFlow and PyTorch through projects and a future role description.
Experience in optimizing model training using distributed strategies, indicating an understanding of scalable ML systems.
Relevant certification: Oracle Cloud Infrastructure 2025 Certified Data Science Professional, showcasing proactive learning and theoretical depth.
Hands-on project experience in building AI-powered systems (e.g., 'AI Resume Buddy') and full-stack applications, valuable for end-to-end ML deployment.
Future ML Engineer role at Amazon (starting 2025) indicates high potential and industry recognition, despite being a student with 0 years of completed professional experience.
Proficiency in multiple programming languages (Python, Java, C++) and web development frameworks (Node.js, React.js, Express.js), providing a versatile skill set.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit