Aarya Mishra

AI Engineer

https://www.opentalent.in/aarya-mishra

Gwalior, Madhya Pradesh, IndiaMember since March 16, 2026

Key Strengths

Strong theoretical background and project experience in AI/ML, including developing a custom tensor computation library with autograd features.
Demonstrated ability to apply ML concepts to real-world problems through projects like the AI Fitness Assistant (PyTorch, Scikit-learn) and LinkedIn Post Generator (LLMs, Langchain).
Proficiency in key AI/ML frameworks and libraries such as PyTorch, Scikit-learn, Langchain, NumPy, and Pandas.
Experience with C++ and Data Structures and Algorithms (DSA), indicating a solid computer science foundation.
Good alignment with the AI Engineer role based on project portfolio and stated skills, showing strong potential for growth in the AI/ML domain.

Skill Analysis

Python Development Fundamentals

★★★★★

20%

The candidate scored 20% on a test covering junior-level Python development, regular expressions, and related concepts. This indicates a substantial lack of foundational knowledge required for the role, despite the candidate's stated experience in Python projects.

Python 3.xRegular ExpressionsDjango Framework ConceptsData Anonymization Principles

Strengths

Minimal strengths demonstrated in core Python syntax and problem-solving within the assessment context.

Limitations

Significant gaps in foundational Python programming concepts.
Limited understanding of Regular Expressions.
Lack of demonstrated knowledge in Django framework basics.
Insufficient understanding of data privacy and anonymization techniques.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data from the psychometric test to assess cultural fit.

Soft Skills & Operational Fit

Insufficient data from psychometric and English tests to assess soft skills, work attitude, stress handling, or team collaboration.

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 theoretical background and project experience in AI/ML, including developing a custom tensor computation library with autograd features.
Demonstrated ability to apply ML concepts to real-world problems through projects like the AI Fitness Assistant (PyTorch, Scikit-learn) and LinkedIn Post Generator (LLMs, Langchain).
Proficiency in key AI/ML frameworks and libraries such as PyTorch, Scikit-learn, Langchain, NumPy, and Pandas.
Experience with C++ and Data Structures and Algorithms (DSA), indicating a solid computer science foundation.
Good alignment with the AI Engineer role based on project portfolio and stated skills, showing strong potential for growth in the AI/ML domain.

Skill Analysis

Python Development Fundamentals

★★★★★

20%

Python 3.xRegular ExpressionsDjango Framework ConceptsData Anonymization Principles

Strengths

Minimal strengths demonstrated in core Python syntax and problem-solving within the assessment context.

Limitations

Significant gaps in foundational Python programming concepts.
Limited understanding of Regular Expressions.
Lack of demonstrated knowledge in Django framework basics.
Insufficient understanding of data privacy and anonymization techniques.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data from the psychometric test to assess cultural fit.

Soft Skills & Operational Fit

Insufficient data from psychometric and English tests to assess soft skills, work attitude, stress handling, or team collaboration.

Aarya Mishra

Key Strengths

Skill Analysis

Python Development Fundamentals

Cultural & Operational Fit

Skills

Experience

Key Strengths

Skill Analysis

Python Development Fundamentals

Cultural & Operational Fit