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I am Jimmy Postwala, a Machine Learning Engineer and Researcher focused on applying AI to manufacturing, healthcare, and automotive industries. I design and deploy CNN-based defect detection, predictive maintenance pipelines using Random Forest and LSTM, and generative AI assistants to streamline operations on complex production floors. I enjoy collaborating with interdisciplinary teams, publishing research, and building scalable ML pipelines in cloud environments to turn data into actionable insights and smarter, cognitive automation.…I am Jimmy Postwala, a Machine Learning Engineer and Researcher focused on applying AI to manufacturing, healthcare, and automotive industries. I design and deploy CNN-based defect detection, predictive maintenance pipelines using Random Forest and LSTM, and generative AI assistants to streamline operations on complex production floors. I enjoy collaborating with interdisciplinary teams, publishing research, and building scalable ML pipelines in cloud environments to turn data into actionable insights and smarter, cognitive automation.

Jimmy Postwala

AI Engineer, Data Scientist, AI Developer, +5

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I am Jimmy Postwala, a Machine Learning Engineer and Researcher focused on applying AI to manufacturing, healthcare, and automotive industries. I design and deploy CNN-based defect detection, predictive maintenance pipelines using Random Forest and LSTM, and generative AI assistants to streamline operations on complex production floors. I enjoy collaborating with interdisciplinary teams, publishing research, and building scalable ML pipelines in cloud environments to turn data into actionable insights and smarter, cognitive automation.…I am Jimmy Postwala, a Machine Learning Engineer and Researcher focused on applying AI to manufacturing, healthcare, and automotive industries. I design and deploy CNN-based defect detection, predictive maintenance pipelines using Random Forest and LSTM, and generative AI assistants to streamline operations on complex production floors. I enjoy collaborating with interdisciplinary teams, publishing research, and building scalable ML pipelines in cloud environments to turn data into actionable insights and smarter, cognitive automation.

Available to hire

I am Jimmy Postwala, a Machine Learning Engineer and Researcher focused on applying AI to manufacturing, healthcare, and automotive industries. I design and deploy CNN-based defect detection, predictive maintenance pipelines using Random Forest and LSTM, and generative AI assistants to streamline operations on complex production floors.

I enjoy collaborating with interdisciplinary teams, publishing research, and building scalable ML pipelines in cloud environments to turn data into actionable insights and smarter, cognitive automation.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Machine Learning Engineer at Challenge Manufacturing

June 22, 2024 - August 22, 2025

Developed and deployed AI algorithms and deep learning models leveraging CNNs to detect improper part placements on manufacturing assembly lines, achieving over 90% accuracy and significantly reducing inspection time. Designed a predictive maintenance pipeline using Random Forest and LSTM networks applied on real-time sensor data to predict failures 24 hours in advance with over 85% precision, thus reducing unplanned downtime and maintenance costs. Created a generative AI-powered chatbot for intelligent process automation trained on manufacturing manuals and logs to assist factory operators. Performed data preprocessing, feature engineering, and large-scale data pipeline development to support robust machine learning model training and deployment, enhancing cognitive automation capabilities.

Research Assistant – Machine Learning at Oakland University

August 30, 2022 - August 22, 2025

Conducted research on artificial intelligence, expert systems, generative AI, and machine learning algorithms with applications in healthcare, automotive, and manufacturing. Developed, trained, and evaluated neural network models using Python, TensorFlow, and PyTorch, deploying them on cloud platforms like Google Cloud Platform and Microsoft Azure for scalable solutions. Contributed to academic publications, literature reviews, and experimental design for AI-based automation and decision-support systems. Collaborated with interdisciplinary teams to implement application development and integrate expert system logic into AI-driven solutions.

Packaging Engineer at Tesla

July 1, 2019 - August 22, 2025

Redesigned Tesla Model 3 battery module racks and packaging using SolidWorks, increasing parts per container and reducing material costs by 25%, boosting packaging efficiency by 30%. Conducted thorough reviews and improvements on existing packaging designs, enhancing product protection and achieving a 15% reduction in damage rates.

Machine Learning Engineer at Challenge Manufacturing

May 22, 2022 - June 22, 2024

Developed and deployed AI algorithms and CNN-based models to detect improper part placements on manufacturing assembly lines, achieving over 90% accuracy, reducing inspection time, and improving production quality. Designed and implemented a predictive maintenance pipeline using Random Forest and LSTM on real-time sensor data (vibration, temperature, motor current), achieving over 85% prediction precision up to 24 hours in advance, reducing unplanned downtime and maintenance costs. Created a generative AI-powered chatbot using a Large Language Model for intelligent process automation, trained on manuals, troubleshooting guides, and historical logs to help operators resolve issues independently. Performed data preprocessing, feature engineering, and large-scale data pipeline development to support robust ML model training and deployment, enhancing cognitive automation capabilities.

Research Assistant – Machine Learning at Oakland University

May 22, 2021 - August 30, 2022

Conducted research on AI, expert systems, generative AI, and machine learning algorithms with applications in healthcare, automotive, and manufacturing. Developed, trained, and evaluated neural network models using Python, TensorFlow, PyTorch; deployed to cloud platforms (Google Cloud Platform, Microsoft Azure) for scalable application development. Contributed to academic publications, literature reviews, and experimental design in AI-based automation and decision-support systems. Collaborated with interdisciplinary teams to implement application development and integrate expert system logic into AI-driven solutions.

Packaging Engineer at Tesla

August 1, 2018 - July 1, 2019

Redesigned Model 3 battery module racks and packaging using SolidWorks, increasing parts per container, reducing material costs by 25%, and boosting packaging efficiency by 30%.