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Adarsh P.

Adarsh P.

AI concept explanation and content generation (short-form and image generation experiments)

India flagpune, India

Key Skills

Software

Other

Top Subject Matter

Artificial intelligence concepts and educational content
Machine learning
anomaly detection

Top Data Types

TextText
ImageImage

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

AI concept explanation and content generation (short-form and image generation experiments). Core strengths include Other. Education includes Bachelor of Technology, N/A (2028). AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT), Computer Programming, and Coding.

Labeling Experience

AI concept explanation and content generation (short-form and image generation experiments)

OtherTextTextPrompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Engaged in AI-related activities focused on generating explanatory content rather than direct dataset annotation. Built short-form concept explanations by simplifying complex topics into clear, logical responses. Practiced accuracy and structured reasoning to improve clarity for a target audience. • Created short-form educational content (YouTube Shorts) • Experimented with AI image generation tools to support explanations • Translated complex ideas into structured plain-language responses • Focused on accuracy, clarity, and reasoning in outputs

2024 - Present

Machine learning project for anomaly detection in credit card transactions

OtherTextText

Worked on a machine learning fraud/anomaly detection project that required preparing and analyzing transaction data. Implemented Isolation Forest and Local Outlier Factor to identify potential outliers in highly imbalanced datasets. Conducted data preprocessing, feature analysis, and performance comparison using sampling techniques. • Performed data preprocessing and feature analysis for anomaly detection • Applied Isolation Forest and Local Outlier Factor models • Used sampling techniques to improve results on imbalanced data • Compared model performance based on engineering and analysis outputs

2024 - 2028

Education

N

N/A

Bachelor of Technology, Computer Engineering

Bachelor of Technology
2024 - 2028

Work History

S

Self-Projects / Academic Projects

Computer Engineering Student

PUNE
2024 - Present