Indranil Samanta

Bhopal, Madhya Pradesh, India

Since March 10, 2026

Skills

Front-endWeb DevelopersAI EngineersPythonReact.jsTeam CollaborationGit-GitHubLeadershipMongoDBSQLData ModelingData PreprocessingModel EvaluationStatisticsData InterpretationMachine LearningProgrammingHTMLES6+JSX, componentsAI EngineerRAG (Retrieval-Augmented Gener ation)LLM applicationsAI/ML FrameworksPandas, NumPyanalysisCiCdCommunicationRest ApiNext.jsCSSMysqlSoftware DevelopersJavaScript

Key Strengths

Strong foundational knowledge in AI/ML, particularly in areas like NLP, vision models, and LLMs, directly aligning with the AI Engineer role.
Proficiency in Python, a core language for AI/ML development, demonstrated by a strong test score and project experience.
Practical experience in implementing AI/ML systems, including deploying a Tacotron2 TTS system and developing NLP-based schedulers and AI-powered virtual guides.
Experience in full-stack development (React, Django) provides a valuable perspective for deploying AI solutions, despite a weakness in React.
Demonstrated problem-solving skills through hackathon participation and project work, indicating an ability to build AI-driven prototypes under constraints.

Skill Analysis

React Development

★★★★★

10%

The candidate demonstrated minimal understanding of React concepts, scoring very low on this assessment, indicating a significant gap in frontend development skills.

React.jsNext.jsFrontend DevelopmentWeb Development

Limitations

Limited proficiency in React.js fundamentals.
Lack of practical understanding in the Next.js/React ecosystem.

Python Programming & Data Handling

★★★★★

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 66% suggests a moderate cultural fit, indicating a reasonable alignment with logical reasoning, work attitude, stress handling, and team collaboration. Further assessment during interviews would be beneficial to confirm alignment with specific team dynamics and company values.

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 AI/ML, particularly in areas like NLP, vision models, and LLMs, directly aligning with the AI Engineer role.
Proficiency in Python, a core language for AI/ML development, demonstrated by a strong test score and project experience.
Practical experience in implementing AI/ML systems, including deploying a Tacotron2 TTS system and developing NLP-based schedulers and AI-powered virtual guides.
Experience in full-stack development (React, Django) provides a valuable perspective for deploying AI solutions, despite a weakness in React.
Demonstrated problem-solving skills through hackathon participation and project work, indicating an ability to build AI-driven prototypes under constraints.

Skill Analysis

React Development

★★★★★

10%

The candidate demonstrated minimal understanding of React concepts, scoring very low on this assessment, indicating a significant gap in frontend development skills.

React.jsNext.jsFrontend DevelopmentWeb Development

Limitations

Limited proficiency in React.js fundamentals.
Lack of practical understanding in the Next.js/React ecosystem.

Python Programming & Data Handling

★★★★★

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Data Science & AI Fundamentals

★★★★★

88%

The candidate exhibits strong performance in data science and AI, indicating a solid foundational knowledge directly relevant to an AI Engineer role.

Data ScientistMachine LearningRegressionClassificationScikit-learnLLMLangchain

Strengths

Strong grasp of core data science and AI concepts.
Ability to apply machine learning algorithms effectively.
Good foundational understanding of AI/ML project implementation.

Limitations

Minor areas for refinement in advanced AI/ML topics or specific model architectures, given the score is not 100%.