Dushyant Singh

AI Engineer

https://www.opentalent.in/dushyant-singh-1

Ajmer, Rajasthan, IndiaMember since March 18, 2026

Key Strengths

Demonstrated strong project experience in AI/ML, including deep learning (LSTM, multimodal models), computer vision (YOLOv8, EasyOCR), and real-time systems.
Proficient in Python and relevant AI/ML frameworks such as TensorFlow/Keras, Numpy, Pandas, and Scikit-learn.
Experience with MLOps-related concepts like GPU optimization (NVIDIA A10G), model deployment (Modal), and data pipelines.
Familiarity with full-stack development (Next.js, React, Supabase, PostgreSQL) provides a broader engineering perspective, useful for end-to-end AI system development.
Possesses skills in Docker and Git, essential for modern software development and MLOps workflows.

Skill Analysis

Technical Test

★★★★★

The candidate scored 0 out of 100 on the technical assessment, indicating a complete lack of demonstrated proficiency in the evaluated technical areas. This score suggests significant foundational gaps in problem-solving, coding logic, and practical implementation.

problem solvingcoding logictechnical accuracypractical implementation

Limitations

Problem-solving abilities are not demonstrated.
Coding logic and implementation skills are absent.
Technical accuracy could not be assessed due to lack of performance.
Practical implementation capabilities are unproven.

Cultural & Operational Fit

Cultural Fit Analysis

With a psychometric test score of 41%, the candidate shows significant areas for development in aspects typically associated with cultural fit, such as work attitude, stress handling, and team collaboration. This low score suggests potential difficulties in adapting to team dynamics and handling workplace pressures effectively.

Soft Skills & Operational Fit

The candidate's psychometric test score of 41% (205/500) indicates potential challenges in logical reasoning, work attitude, stress handling, and team collaboration. The English test score of 46% suggests weaknesses in communication clarity, grammar, and professional language usage, which are critical for effective operational fit and collaboration in a senior role.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Demonstrated strong project experience in AI/ML, including deep learning (LSTM, multimodal models), computer vision (YOLOv8, EasyOCR), and real-time systems.
Proficient in Python and relevant AI/ML frameworks such as TensorFlow/Keras, Numpy, Pandas, and Scikit-learn.
Experience with MLOps-related concepts like GPU optimization (NVIDIA A10G), model deployment (Modal), and data pipelines.
Familiarity with full-stack development (Next.js, React, Supabase, PostgreSQL) provides a broader engineering perspective, useful for end-to-end AI system development.
Possesses skills in Docker and Git, essential for modern software development and MLOps workflows.

Skill Analysis

Technical Test

★★★★★

problem solvingcoding logictechnical accuracypractical implementation

Limitations

Problem-solving abilities are not demonstrated.
Coding logic and implementation skills are absent.
Technical accuracy could not be assessed due to lack of performance.
Practical implementation capabilities are unproven.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Dushyant Singh

Key Strengths

Skill Analysis

Technical Test

Cultural & Operational Fit

Skills

Experience

Key Strengths

Skill Analysis

Technical Test

Cultural & Operational Fit