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Nemanja Blagojevic

@nemanjablagojevic

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Project Engineer specializing in machine learning and embedded systems.

United States

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What I'm looking for

I seek a dynamic role that fosters innovation and collaboration, focusing on machine learning and embedded systems.

I am a dedicated Project Engineer with a strong background in computer science and electrical engineering. Currently pursuing my Master’s degree at Kennesaw State University, I have honed my skills in developing predictive models and implementing advanced machine learning techniques. My experience at Copeland has allowed me to lead innovative projects that directly contributed to significant sales growth, showcasing my ability to blend technical expertise with business acumen.

Previously, as a Systems Engineer II at Rheem Manufacturing, I built embedded machine learning systems that enhanced product reliability and reduced customer downtime. My contributions to industry standards through participation in OpenADR 3.0 and CTA-2045 committees reflect my commitment to thought leadership in energy systems. I thrive in collaborative environments where I can leverage my technical skills to drive impactful solutions.

Experience

Work history, roles, and key accomplishments

Current

Project Engineer

Current

Copeland

Aug 2023 - Present (1 year 9 months)

As a Project Engineer at Copeland, I developed predictive models for refrigeration mode stability and implemented integrations between controllers and third-party systems. I automated label standardization using NLP techniques and led the design of refrigeration products, contributing to significant sales.

Natural Language Processing Automation Client Engagement Project Management

Systems Engineer II

Rheem Manufacturing

Jun 2021 - Jul 2023 (2 years 1 month)

In my role as Systems Engineer II at Rheem Manufacturing, I built an embedded machine learning system for predictive maintenance and documented system requirements for product development. I also led an automated testing project and contributed to industry standards in energy systems.

Embedded Systems Machine Learning Regulatory Compliance Quality Assurance Documentation

React Developer

Self Employed

Developed a React-based job board platform for developers, featuring dynamic filtering and real-time updates. Integrated Node.js and MongoDB for secure user authentication and data management.

React Node MongoDB Authentication Web Development Data Management

Machine Learning Developer

Self Employed

Developed machine learning algorithms to analyze extinction risks of species, utilizing PCA and clustering techniques. Processed ecological data to enhance model accuracy and insights for conservation.

Machine Learning Python Clustering Data Processing Data