Machine Learning Mechanical Engineer

Amir Behjat

Amir Behjat’s Resume

Contact Information

Amir Behjat

Harrison, New Jersey • +1-716-***-**** • ****.******.****@*****.***

• LinkedIn: linkedin.com/in/amir-behjat-40379438

• Google Scholar: scholar.google.com/citations?user=2rdDe0cAAAAJ Summary

AI Scientist and Mechanical Engineer with extensive experience in machine learning, robotics, and AI applied in various fields including energy optimization, physics-infused machine learning, evolutionary AI, distributed AI, and robotic design. Proven ability to man- age research projects, mentor teams, and innovate at the intersection of technology and engineering.

Achievements

• Led the development and optimization of technologies for NASA’s Resilient Extra-Terrestrial Habitats.

• Designed AI-driven chatbots and insight generators for energy optimization at Prescrip- tive Data (Nantum AI).

• Published numerous influential papers in top-tier journals and conferences. Employment History

AI Scientist

Prescriptive Data (Nantum AI), New York, NY April 2023 - Present

• Implement machine learning models for building energy usage optimization.

• Predict energy usage patterns and recommend efficient strategies without retrofits.

• Develop NLP and large language models to enhance user interaction and data interpre- tation.

Postdoc Research Assistant

Purdue University, West Lafayette, IN July 2021 - April 2023

• Researched and developed sustainable solutions for lunar habitats under NASA projects.

• Guided MS and PhD students through their research projects, enhancing their academic and practical skills.

Graduate Research Assistant

University at Buffalo, Buffalo, NY August 2017 - June 2021

• Led the design and testing of an autonomous solar-powered robot.

• Authored multiple peer-reviewed journal articles and conference papers. Design Engineer

Movafaghian Research Center, Tehran, Iran January 2014 - August 2017

• CAD Design, hardware design, assemble and testing robot

• Design and develop a Commercialized version of the balance training apparatus Skills

• Technical Skills: Proficient in programming languages including Python, Matlab, and C/C++. Experienced with AI and machine learning libraries such as scikit-learn, Py- Torch, TensorFlow, Hugging Face Transformers, Large Language Models (LLM). Ex- pertise in advanced techniques like prompt engineering, retrieval-augmented generation

(RAG), and multi-agent LLMs. Skilled in cloud computing platforms like AWS. Work- ing knowledge of data processing libraries like PySpark and database tools such as SQL

(including SQLite and MySQL).

• Software Proficiency: Experienced with middleware and simulators like PyBullet and V-REP; proficient in using Git, BitBucket, and LaTeX for version control and document preparation.

• Engineering Software: Solid proficiency in mechanical and electrical design software including SolidWorks, AutoCAD, and ANSYS.

• Operating Systems: Extensive experience with Unix/Linux and Windows environ- ments.

• Soft Skills: Strong project management, leadership, and mentoring abilities. Effective communicator with a proven record in leading teams and conducting high-level research. Fluent in English and Persian, with conversational skills in Turkish. Education and Training

Ph.D., Mechanical Engineering

University at Buffalo, Buffalo, NY June 2021

M.S., Mechanical Engineering

Sharif University of Technology, Tehran, Iran January 2014 B.S., Mechanical Engineering

Sharif University of Technology, Tehran, Iran September 2011 References

Available upon request.

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