Faisal A.

Key Skills

Software

Label Studio

CVAT

Other

Top Subject Matter

AI/ML model training workflows and dataset labeling for business applications

AI chatbot and ML workflow development with dataset labeling/training enablement

Top Data Types

Text

Video

Computer Code Programming

Top Task Types

Fine-tuning

Classification

Bounding Box

Segmentation

Object Detection

Freelancer Overview

Full Stack Developer / Software Consultant (AI/ML & data workflows). Brings 13+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Project Manager / Full Stack Developer, DG APPS (2016). AI-training focus includes data types such as Text and labeling workflows including Fine-tuning.

Labeling Experience

Founder / CEO / Senior Full Stack Developer - Neelumsoft (AI/ML & automation systems)

OtherTextFine-tuning

Developed AI features and chatbot systems that included dataset labeling and AI training workflow components for production deployments. Implemented AI-assisted classification, document intelligence, and data extraction workflows as part of customer-facing automation systems. Supported ongoing AI/ML operational tasks including data mining and analytics integrations to improve model-driven business outcomes. • Dataset labeling and AI training workflow implementation. • Document intelligence, classification, and data extraction pipelines. • OpenAI/ChatGPT chatbot and conversational assistant integrations. • Data engineering and analytics support for AI-driven automation.

2018 - Present

Full Stack Developer / Software Consultant (AI/ML & data workflows)

Don't discloseTextFine-tuning

Built and integrated dataset-related AI workflows for business applications, including dataset labeling and preparation steps used for model training. Contributed to machine learning operational tasks such as model training support and fine-tuning workflow enablement for AI systems. Delivered OpenAI/ChatGPT integrations that rely on curated training and response generation logic for AI-assisted features. • Dataset labeling and data preparation within ML pipelines. • Model training and fine-tuning support for application-ready models. • AI-assisted search, response generation, and decision-support workflow integration. • Long-term support for feature expansion of AI-driven systems.

2014 - Present

Education

Work History