Mohammed M.

Key Skills

Software

Other

Don't disclose

Top Subject Matter

AI model training data preparation and workflow automation

Data cleaning and AI training data preparation

Automated data workflows supporting AI training/labeling

Top Data Types

Computer Code Programming

Text

Top Task Types

Fine-tuning

Data Collection

Classification

Freelancer Overview

Data Cleanse Pro Project / AI-based data preparation tooling (Streamlit + local AI models). Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Technical Diploma, AutoCAD Technical Diploma Program and Vocational Diploma, Technical and Vocational Training. AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Classification and Data Collection.

Labeling Experience

Freelance work (process automation and digital asset design)

OtherData Collection

Performed freelance technical work involving process automation and digital asset design with an emphasis on AI-ready data workflows. Managed project tasks that relate to organizing and structuring data for subsequent model training or labeling steps. Focused on automating handling of digital resources to support downstream AI use. • Automated parts of data handling workflows • Structured digital assets for AI consumption • Supported data organization for training processes • Delivered technical freelance solutions supporting AI workflows

2026 - Present

Data Cleanse Pro Project (data cleaning and processing with Streamlit and local AI models)

Other

Created the Data Cleanse Pro project to clean and process data intended for model training. Used Streamlit and local AI models to implement data preparation steps that enable better quality labeling and classification outcomes. Applied data processing practices to reduce noise and ensure training-ready inputs. • Implemented data cleaning and preprocessing pipeline • Used Streamlit to operationalize data processing • Applied local AI models within the preparation workflow • Prepared structured datasets for training and classification

2026 - Present

Data Cleanse Pro Project / AI-based data preparation tooling (Streamlit + local AI models)

Don't discloseTextClassification

Performed data cleaning and processing to prepare datasets for AI model training workflows. Classified and organized data to improve the quality and usability of inputs for local AI models. Supported AI solution development by ensuring training-ready datasets and consistent preprocessing. • Cleaned raw data to remove errors and inconsistencies • Processed and formatted data for model training • Classified/organized examples for downstream learning tasks • Built Streamlit-based tooling for dataset preparation

2024 - 2025

Founder of MedMec Digital Solutions (AI-based digital solutions and task automation)

OtherFine-tuningData Collection

Built AI-based digital solutions with an emphasis on preparing and cleaning data for model training workflows. Developed and integrated local AI processing steps to support downstream tasks that require labeled or structured training data. Focused on streamlining data processing pipelines to improve efficiency for client projects. • Cleaned and processed datasets for training use • Integrated AI components into automated workflows • Supported classification/labeling-oriented data preparation • Delivered client-facing AI enablement via automation

2023 - 2025

Education

Work History