Aditi Singh

AI Engineer

https://www.opentalent.in/aditi-singh

Bengaluru, Karnataka, IndiaMember since February 24, 2026

Key Strengths

Strong academic foundation in Artificial Intelligence (B.Tech AI from NITK, 2021-2025).
Demonstrated project experience in key AI domains including Multimodal AI (CLIP, RED_DOT), Natural Language Processing (NLTK, BeautifulSoup, Pandas), and Generative AI (OpenAI, Google APIs).
Proficiency in core ML frameworks and languages: Python, PyTorch, Scikit-learn, Flask, and SQL.
Experience with ML pipeline development and deployment using tools like Streamlit and Flask.
Involvement in research and publications, indicating a proactive approach to learning and contribution.
Kaggle participation highlights interest in competitive problem-solving and practical application of ML skills.
Self-declared soft skills (Communication, Teamwork, Initiative, Leadership) are valuable for team environments.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score is 0, indicating insufficient data to objectively assess cultural fit, logical reasoning, work attitude, stress handling, or team collaboration.

Soft Skills & Operational Fit

The candidate self-reports strong soft skills including Communication, Teamwork, Initiative, and Leadership. However, these claims are not validated by any completed psychometric tests, which scored 0. Therefore, there is insufficient objective data to assess soft skills and 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 academic foundation in Artificial Intelligence (B.Tech AI from NITK, 2021-2025).
Demonstrated project experience in key AI domains including Multimodal AI (CLIP, RED_DOT), Natural Language Processing (NLTK, BeautifulSoup, Pandas), and Generative AI (OpenAI, Google APIs).
Proficiency in core ML frameworks and languages: Python, PyTorch, Scikit-learn, Flask, and SQL.
Experience with ML pipeline development and deployment using tools like Streamlit and Flask.
Involvement in research and publications, indicating a proactive approach to learning and contribution.
Kaggle participation highlights interest in competitive problem-solving and practical application of ML skills.
Self-declared soft skills (Communication, Teamwork, Initiative, Leadership) are valuable for team environments.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score is 0, indicating insufficient data to objectively assess cultural fit, logical reasoning, work attitude, stress handling, or team collaboration.

Soft Skills & Operational Fit

Aditi Singh

Key Strengths

Cultural & Operational Fit

Skills

Experience

Key Strengths

Cultural & Operational Fit