Alind Gupta

Key Skills

Software

OpenCV AI Kit (OAK)

Top Subject Matter

Computer Vision

Game Environments

Automatic Text Summarization

Top Data Types

Image

Text

Top Task Types

Classification

Text Summarization

Freelancer Overview

Automated Mario Generator Project – Computer Vision Data Labeling. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OpenCV AI Kit (OAK), N, and A. Education includes Master of Science and Technology, Ecole Polytechnique (2025) and Bachelor of Technology, Delhi Technological University (2020). AI-training focus includes data types such as Image and Text and labeling workflows including Classification and Text Summarization.

Labeling Experience

Automated Mario Generator Project – Computer Vision Data Labeling

Opencv AI Kit OakImageClassification

I synthesized a computer vision pipeline to generate a playable Mario game environment from input images in real time. This involved interpreting image data and assigning categories to visual features for accurate game environment creation. The process required precise image analysis and machine learning techniques to automate environment generation. • Labeled image data for environment recognition • Used Python and OpenCV for data processing • Ensured high reliability of labeled examples • Pipeline generated environments from labeled input within 35 seconds

I synthesized a computer vision pipeline to generate a playable Mario game environment from input images in real time. This involved interpreting image data and assigning categories to visual features for accurate game environment creation. The process required precise image analysis and machine learning techniques to automate environment generation. • Labeled image data for environment recognition • Used Python and OpenCV for data processing • Ensured high reliability of labeled examples • Pipeline generated environments from labeled input within 35 seconds

2023 - 2023

Research Project – Text Summarization Data Curation/Annotation

TextText Summarization

I developed a text summarization algorithm using Minimum Dominating Set and GloVe embeddings, which involved manually curating training and evaluation datasets. The work included annotating target summaries for extracted text and validating accuracy against state-of-the-art performance. Careful attention was given to correctly summarizing key points while maintaining label quality. • Created labeled text datasets for summarization • Annotated gold-standard reference summaries • Validated summaries with accuracy scoring • Presented results to an expert audience

I developed a text summarization algorithm using Minimum Dominating Set and GloVe embeddings, which involved manually curating training and evaluation datasets. The work included annotating target summaries for extracted text and validating accuracy against state-of-the-art performance. Careful attention was given to correctly summarizing key points while maintaining label quality. • Created labeled text datasets for summarization • Annotated gold-standard reference summaries • Validated summaries with accuracy scoring • Presented results to an expert audience

2019 - 2020

Education

Work History