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Mbg Baig

Mbg Baig

Corporate AI Trainer (Internal) – Renault India Pvt. Ltd.

India flagChennai, India
ExpertOther

Key Skills

Software

Other

Top Subject Matter

Automotive Domain Expertise
Supply Chain
Program Management

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
ClassificationClassification
Object DetectionObject Detection
Entity (NER) ClassificationEntity (NER) Classification

Freelancer Overview

Corporate AI Trainer (Internal) – Renault India Pvt. Ltd.. Brings 21+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Python. Education includes Post Graduate Diploma, University of Texas at Austin / Great Lakes Executive Learning (2026) and Master of Business Administration, Anna University (2013). AI-training focus includes data types such as Text, Sensor, and Image and labeling workflows including Prompt + Response Writing (SFT), Classification, and Object Detection.

Expert

Labeling Experience

Corporate AI Trainer (Internal) – Renault India Pvt. Ltd.

TextPrompt Response Writing SFT
Delivered internal corporate AI training to over 80 professionals focusing on AI fundamentals and workplace applications. Sessions included hands-on prompt engineering and AI-assisted workflows tailored for automotive, supply chain, and program management use cases. Designed course material and evaluated adoption and understanding through interactive modules. • AI training focused on GenAI tools, prompt engineering, and data analysis workflows. • Facilitated AI literacy using ChatGPT and Copilot in real business scenarios. • Received formal recognition for quality and impact from leadership. • Achieved highest participant ratings across all training sessions.

Delivered internal corporate AI training to over 80 professionals focusing on AI fundamentals and workplace applications. Sessions included hands-on prompt engineering and AI-assisted workflows tailored for automotive, supply chain, and program management use cases. Designed course material and evaluated adoption and understanding through interactive modules. • AI training focused on GenAI tools, prompt engineering, and data analysis workflows. • Facilitated AI literacy using ChatGPT and Copilot in real business scenarios. • Received formal recognition for quality and impact from leadership. • Achieved highest participant ratings across all training sessions.

2024 - 2026

Data Labeling & Model Evaluator – Business Performance Analysis

Text
Reviewed and evaluated AI-generated business insights as part of a SQL-driven analytics project focused on sales performance. Annotated outputs for logical coherence, generated corrective feedback for model improvement, and participated in review cycles. Ensured actionable insights and alignment with business objectives through careful data labeling. • Annotated and validated AI-generated textual insights. • Created review feedback for business model optimization. • Used SQL and analytics platforms to process and assess outputs. • Contributed to iterative model training and quality improvement.

Reviewed and evaluated AI-generated business insights as part of a SQL-driven analytics project focused on sales performance. Annotated outputs for logical coherence, generated corrective feedback for model improvement, and participated in review cycles. Ensured actionable insights and alignment with business objectives through careful data labeling. • Annotated and validated AI-generated textual insights. • Created review feedback for business model optimization. • Used SQL and analytics platforms to process and assess outputs. • Contributed to iterative model training and quality improvement.

2025 - 2025

NLP Data Labeler – Stock Sentiment Analysis

TextEntity Ner Classification
Labeled and annotated financial news text for NLP sentiment analysis and forecasting models. Evaluated model-generated responses for logical soundness and factual accuracy, incorporating iterative feedback. Earned appreciation from validators for annotation quality and improvement in sentiment model outputs. • Labeled sentiment and entities within stock-related news articles. • Focused on financial forecasting and AI model evaluation tasks. • Maintained high annotation standards for consistent sentiment attribution. • Utilized NLP libraries and internal tooling throughout project.

Labeled and annotated financial news text for NLP sentiment analysis and forecasting models. Evaluated model-generated responses for logical soundness and factual accuracy, incorporating iterative feedback. Earned appreciation from validators for annotation quality and improvement in sentiment model outputs. • Labeled sentiment and entities within stock-related news articles. • Focused on financial forecasting and AI model evaluation tasks. • Maintained high annotation standards for consistent sentiment attribution. • Utilized NLP libraries and internal tooling throughout project.

2025 - 2025

Image Annotator – Helmet Detection (AI Project)

ImageObject Detection
Annotated and labeled a dataset of 631 workplace safety images for a real-time helmet detection computer vision model. Evaluated classification results and ensured high-quality standards for all labeled data. Received validator appreciation for the accuracy and completeness of annotation work. • Labeled images for helmet presence/absence and compliance classification. • Applied computer vision tools and object detection best practices. • Focused on workplace safety use cases within the automotive domain. • Contributed to model enhancement with accurate annotations.

Annotated and labeled a dataset of 631 workplace safety images for a real-time helmet detection computer vision model. Evaluated classification results and ensured high-quality standards for all labeled data. Received validator appreciation for the accuracy and completeness of annotation work. • Labeled images for helmet presence/absence and compliance classification. • Applied computer vision tools and object detection best practices. • Focused on workplace safety use cases within the automotive domain. • Contributed to model enhancement with accurate annotations.

2025 - 2025

Predictive Maintenance Data Labeler – Capstone Project

Classification
Developed and labeled sensor-based datasets for a predictive maintenance model targeting automotive engine failure. Validated machine learning model outputs and evaluated prediction accuracy using labeled data. Applied domain knowledge to oversee comprehensive data annotation processes for capstone project delivery. • Labeled data included RPM, pressure, and temperature sensor readings. • Performed model output validation for engine failure detection. • Used Python and Scikit-learn for data processing and model evaluation. • Ensured data integrity and labeling consistency throughout project.

Developed and labeled sensor-based datasets for a predictive maintenance model targeting automotive engine failure. Validated machine learning model outputs and evaluated prediction accuracy using labeled data. Applied domain knowledge to oversee comprehensive data annotation processes for capstone project delivery. • Labeled data included RPM, pressure, and temperature sensor readings. • Performed model output validation for engine failure detection. • Used Python and Scikit-learn for data processing and model evaluation. • Ensured data integrity and labeling consistency throughout project.

2025 - 2025

Education

U

University of Texas at Austin / Great Lakes Executive Learning

Post Graduate Diploma, Artificial Intelligence and Machine Learning

Post Graduate Diploma
2024 - 2026
A

Anna University

Master of Business Administration, General Management

Master of Business Administration
2011 - 2013

Work History

R

Renault

Senior Manager – Vehicle Costing and Program Management

Chennai
2024 - Present
R

Renault Nissan Technology & Business Centre India

Junior Manager – Vehicle Project Cost Management

Chennai
2022 - 2024