Rinkal Trapasiya

Key Skills

Software

Appen

Clickworker

Data Annotation Tech

Labelbox

Mindrift

OneForma

Remotasks

Scale AI

Top Subject Matter

AI computer vision

LLM evaluation and text generation in English & Japanese

Image and video annotation for machine learning and Coding

Top Data Types

Computer Code Programming

Image

Text

Top Task Types

Computer Programming Coding

Evaluation Rating

Geocoding

Object Detection

Prompt Response Writing SFT

Freelancer Overview

I have a strong background in data labeling and AI training, with extensive experience in various AI-driven projects. My expertise includes AI computer vision for self-driving cars, where I have honed my skills in annotating complex imagery to train advanced machine learning models. Additionally, I specialize in LLM evaluation and text generation in both English and Spanish, contributing to the development and refinement of language models. My diverse skill set is further complemented by my proficiency in image and video annotation for machine learning applications. I am fluent in multiple languages, including English, Gujarati, Hindi, and Marathi, which enhances my ability to work on a wide range of projects. My technical skills in Python, C++, Java, and C# enable me to contribute effectively to various stages of AI development and deployment.

Labeling Experience

Coding

Scale AIComputer Code ProgrammingPrompt Response Writing SFT

Annotated thousands of images to identify and classify objects such as pedestrians, vehicles, traffic signs, and road markings. Performed instance segmentation to outline precise boundaries of objects within the images. Conducted quality checks to ensure accuracy and consistency in labeling, using tools like bounding boxes and polygon annotation. Collaborated with a team of data scientists and engineers to refine labeling guidelines and improve the annotation process.

Annotated thousands of images to identify and classify objects such as pedestrians, vehicles, traffic signs, and road markings. Performed instance segmentation to outline precise boundaries of objects within the images. Conducted quality checks to ensure accuracy and consistency in labeling, using tools like bounding boxes and polygon annotation. Collaborated with a team of data scientists and engineers to refine labeling guidelines and improve the annotation process.

2019 - 2023

Education

Work History