Manshi Rathour

Amazon

Patna, Bihar, India

Since February 20, 2026

Skills

API IntegrationGoogle Cloud ServicesJavaMERN StackProgrammingBackendCommunicationAutomationWeb DevelopersPythonMachine LearningSQLData PreprocessingAI EngineersPostmanTensorFlowModel EvaluationMongoDBAPI DesignMysqlCSSHTMLAzureFull-stack

Experience

Amazon

ML Summer School

August 1, 2025 – Present

MDev Solutions

AI Engineer Intern

April 1, 2025 – July 1, 2025

Key Strengths

Strong foundational knowledge in Machine Learning, Deep Learning, Generative AI, and LLMs, evidenced by participation in Amazon's ML Summer School.
Practical experience in building and deploying AI solutions, including end-to-end sales forecasting with 90%+ accuracy and an AI-driven construction image analysis pipeline adopted by 100+ users.
Proficiency in full-stack development (MERN, Python, FastAPI, React, MongoDB) for AI application development, demonstrated by the FilesGPT project.
Experience with advanced AI concepts and tools like RAG pipelines (LangChain, Pinecone, GPT-40-mini), OCR, and text processing.
Excellent problem-solving and data structures/algorithms skills, validated by LeetCode (top 11.21%) and HackerRank achievements.
Familiarity with major cloud platforms (GCP, Azure, AWS) and MLOps-related tools (n8n, Git).

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 is a critical red flag, indicating a complete mismatch with organizational values or severe deficiencies in essential professional attributes such as logical reasoning, work attitude, stress handling, or team collaboration. This score makes the candidate's cultural fit highly problematic and likely unacceptable for any role.

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 Machine Learning, Deep Learning, Generative AI, and LLMs, evidenced by participation in Amazon's ML Summer School.
Practical experience in building and deploying AI solutions, including end-to-end sales forecasting with 90%+ accuracy and an AI-driven construction image analysis pipeline adopted by 100+ users.
Proficiency in full-stack development (MERN, Python, FastAPI, React, MongoDB) for AI application development, demonstrated by the FilesGPT project.
Experience with advanced AI concepts and tools like RAG pipelines (LangChain, Pinecone, GPT-40-mini), OCR, and text processing.
Excellent problem-solving and data structures/algorithms skills, validated by LeetCode (top 11.21%) and HackerRank achievements.
Familiarity with major cloud platforms (GCP, Azure, AWS) and MLOps-related tools (n8n, Git).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit