Firdoz Rangara

Key Skills

Software

Appen

Roboflow

Other

Clickworker

Doccano

Labelbox

Lionbridge

Label Studio

Mindrift

OneForma

Mercor

Micro1

Remotasks

Toloka

Telus

Top Subject Matter

Conversational AI

Computer Vision

Nlp Domain Expertise

Top Data Types

Audio

Text

Image

Document

Top Task Types

Classification

Entity Ner Classification

Bounding Box

Polygon

Object Detection

Function Calling

RLHF

Evaluation Rating

Freelancer Overview

AI Data Trainer – Appen. Brings 6+ years of professional experience in pharmacy and 1+ year of experience in AI training , across complex professional workflows, research, and quality-focused execution. Core strengths include Appen, Roboflow, and Other. Education includes Bachelor of Pharmacy, Maharaja Sayaji Rao University (2004) and Post Graduate Diploma in Regulatory Affairs, GIRA. AI-training focus includes data types such as Audio, Text, and Image and labeling workflows including Classification and Entity (NER) Classification. Certication(coursera) - Google Professiopnal Data Analytics, Health Informatics by John Hopskin Univesity, Ai in Medicine.

Labeling Experience

AI Data Trainer – Appen

AppenAudioClassification

I trained voice-based chatbots by labeling and classifying voice data to improve conversational AI models. I also annotated images for computer vision datasets with a focus on ensuring high-quality labeled data. My work involved maintaining rigorous QA/QC standards during annotation to support robust model performance. • Labeled and classified audio data for chatbot conversational intent. • Annotated images to support computer vision model training. • Ensured annotation accuracy through regular QA/QC reviews. • Utilized Appen’s proprietary annotation tools for all tasks.

I trained voice-based chatbots by labeling and classifying voice data to improve conversational AI models. I also annotated images for computer vision datasets with a focus on ensuring high-quality labeled data. My work involved maintaining rigorous QA/QC standards during annotation to support robust model performance. • Labeled and classified audio data for chatbot conversational intent. • Annotated images to support computer vision model training. • Ensured annotation accuracy through regular QA/QC reviews. • Utilized Appen’s proprietary annotation tools for all tasks.

2023 - Present

Pneumonia Detection – GitHub

OtherImageClassification

I worked on a pneumonia detection project by preprocessing and labeling chest X-ray images. The classification work involved identifying and sorting images into pneumonia or normal classes to facilitate supervised training of machine learning models. Model evaluation and data preparation were critical throughout the project. • Labeled and classified medical images for supervised learning. • Conducted image preprocessing to enhance dataset utility. • Supported model evaluation for medical diagnosis tasks. • Applied Python-based automation for efficient workflow.

I worked on a pneumonia detection project by preprocessing and labeling chest X-ray images. The classification work involved identifying and sorting images into pneumonia or normal classes to facilitate supervised training of machine learning models. Model evaluation and data preparation were critical throughout the project. • Labeled and classified medical images for supervised learning. • Conducted image preprocessing to enhance dataset utility. • Supported model evaluation for medical diagnosis tasks. • Applied Python-based automation for efficient workflow.

2023 - 2023

NER Project – GitHub

RoboflowTextEntity Ner Classification

I completed a sequence labeling project using Roboflow to annotate entities in text datasets. The project involved extracting named entities for NER tasks to support downstream NLP models. I used Python for scripting and evaluating entity extraction quality. • Performed manual entity annotation on text samples. • Used Roboflow’s labeling interface to support NER development. • Validated entity extraction results using Python scripts. • Contributed sample NER labels for demonstration and testing.

I completed a sequence labeling project using Roboflow to annotate entities in text datasets. The project involved extracting named entities for NER tasks to support downstream NLP models. I used Python for scripting and evaluating entity extraction quality. • Performed manual entity annotation on text samples. • Used Roboflow’s labeling interface to support NER development. • Validated entity extraction results using Python scripts. • Contributed sample NER labels for demonstration and testing.

2023 - 2023

Education

Work History