Dushyant Singh

Pragmaa

Ajmer, Rajasthan, India

Since March 18, 2026

Skills

Machine LearningAI EngineersPython

Experience

Pragmaa

Software Engineering Intern

January 1, 2026 – Present

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

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Assessing your cultural and operational fit