Amit Sahu

Insight Fusion Analytics

Gwalior, Madhya Pradesh, India

Since February 17, 2026

Skills

Machine LearningPythonPyTorch

Experience

ZeroX Toml Foundation

AI/ML Engineer

November 4, 2025 – November 29, 2025

Indonesia

Insight Fusion Analytics

AI/ML Intern

August 1, 2025 – Present

Tecnovacore Pvt. Ltd.

Machine Learning Intern

April 1, 2025 – July 1, 2025

Key Strengths

Strong proficiency in Python programming, demonstrated across multiple projects and internships.
Extensive experience in Artificial Intelligence and Machine Learning, including designing, developing, and deploying data-driven models.
Proven ability to work with advanced ML concepts such as Retrieval-Augmented Generation (RAG) systems, LLM optimization, and MLOps practices (API development with FastAPI, Docker for deployment).
Practical experience with key ML frameworks and libraries including TensorFlow, Scikit-learn, Pandas, and NumPy.
Experience in backend integration and cloud deployment (AWS, GCP, Azure listed in skills, though not detailed in experience descriptions).
For an intern role, the candidate possesses advanced technical skills in Python and AI/ML, indicating a strong learning aptitude and foundational knowledge.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 is a critical red flag. This score indicates a complete lack of fit or a severe issue during the test completion, as it directly evaluates logical reasoning, work attitude, stress handling, and team collaboration. Without further context or re-evaluation, this score suggests significant concerns regarding the candidate's cultural and operational alignment.

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 proficiency in Python programming, demonstrated across multiple projects and internships.
Extensive experience in Artificial Intelligence and Machine Learning, including designing, developing, and deploying data-driven models.
Proven ability to work with advanced ML concepts such as Retrieval-Augmented Generation (RAG) systems, LLM optimization, and MLOps practices (API development with FastAPI, Docker for deployment).
Practical experience with key ML frameworks and libraries including TensorFlow, Scikit-learn, Pandas, and NumPy.
Experience in backend integration and cloud deployment (AWS, GCP, Azure listed in skills, though not detailed in experience descriptions).
For an intern role, the candidate possesses advanced technical skills in Python and AI/ML, indicating a strong learning aptitude and foundational knowledge.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit