Aman Singh Chauhan

Adisan Medical Solutions

Raipur, india

Since July 9, 2025

Skills

PythonNode.jsJavaScriptMysqlAPI IntegrationPostmanGit-GitHub

Experience

Adisan Medical Solutions

Software Development Intern

February 1, 2025 – Present

Noida, Uttar Pradesh, India

International Institute of Information Technology

Research & Development Intern

June 1, 2024 – July 1, 2024

Naya Raipur, India

Institute of Science Education and Research

Research Intern

June 1, 2024 – August 1, 2024

Bhopal, India

Key Strengths

Strong foundational experience in Deep Learning and Machine Learning, with practical application in precision agriculture and LiDAR data classification.
Demonstrated ability to develop and train models, achieving high accuracy (e.g., 98% for crop disease detection, 90% for LiDAR classification).
Experience with GPU-accelerated model training and optimization, indicating an understanding of performance considerations.
Proficiency in relevant AI/ML technologies including Pytorch, TensorFlow, scikit-learn, and NLP.
Experience in data annotation and processing (LiDAR data), crucial for AI model development.
Ability to translate research insights into practical solutions (smart city development, improved farm management).

Cultural & Operational Fit

Cultural Fit Analysis

Unable to assess cultural fit due to a zero score on the psychometric test, which typically evaluates logical reasoning, work attitude, stress handling, and team collaboration. This score either indicates non-completion of the test or a critical failure, making it impossible to draw conclusions about cultural fit.

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 experience in Deep Learning and Machine Learning, with practical application in precision agriculture and LiDAR data classification.
Demonstrated ability to develop and train models, achieving high accuracy (e.g., 98% for crop disease detection, 90% for LiDAR classification).
Experience with GPU-accelerated model training and optimization, indicating an understanding of performance considerations.
Proficiency in relevant AI/ML technologies including Pytorch, TensorFlow, scikit-learn, and NLP.
Experience in data annotation and processing (LiDAR data), crucial for AI model development.
Ability to translate research insights into practical solutions (smart city development, improved farm management).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit