Govind Fulwariya

Key Skills

Software

OpenCV AI Kit (OAK)

Other

Top Subject Matter

Computer Vision/Object Detection

Natural Language Processing/Sentiment Analysis

Top Data Types

Computer Code Programming

Image

Video

Text

Top Task Types

Object Detection

Classification

Freelancer Overview

Object Detection System Developer (Project). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OpenCV AI Kit (OAK) and Other. AI-training focus includes data types such as Image and Text and labeling workflows including Object Detection and Classification.

Labeling Experience

Sentiment Analysis Project Contributor

OtherTextClassification

Designed a sentiment analysis tool for automatic classification of customer reviews. Labeled and validated text data into positive, negative, and neutral categories using transformer models like BERT. Iteratively reviewed and refined labeled samples to ensure data quality for model training. • Utilized Hugging Face and NLTK libraries for label annotation • Created annotation guidelines for consistent labeling • Performed manual review and correction of labeled data • Assisted in model evaluation and performance analysis

Designed a sentiment analysis tool for automatic classification of customer reviews. Labeled and validated text data into positive, negative, and neutral categories using transformer models like BERT. Iteratively reviewed and refined labeled samples to ensure data quality for model training. • Utilized Hugging Face and NLTK libraries for label annotation • Created annotation guidelines for consistent labeling • Performed manual review and correction of labeled data • Assisted in model evaluation and performance analysis

Not specified

Object Detection System Developer (Project)

Opencv AI Kit OakImageObject Detection

Developed and implemented a real-time object detection system leveraging deep learning models. Labeled image data for training and validation purposes to improve detection accuracy. Conducted iterative model evaluations to refine labeling outputs and system performance. • Applied bounding boxes to various objects in live video streams • Utilized OpenCV for annotation and visualization tasks • Managed dataset preparation and augmentation workflows • Collaborated on evaluation metrics for labeled objects

Developed and implemented a real-time object detection system leveraging deep learning models. Labeled image data for training and validation purposes to improve detection accuracy. Conducted iterative model evaluations to refine labeling outputs and system performance. • Applied bounding boxes to various objects in live video streams • Utilized OpenCV for annotation and visualization tasks • Managed dataset preparation and augmentation workflows • Collaborated on evaluation metrics for labeled objects

Not specified

Education

Work History