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Candidate's Name  RESUMEAI and Machine Learning Scientist, Mechanical EngineerFields: AI, ML, Robotics, Mechanical Engineering Harrison, NJ, PHONE NUMBER AVAILABLE Research Experience: Google Scholar Profile email: EMAIL AVAILABLE SummaryExperienced AI Scientist and Mechanical Engineer specializing in machine learning and robotics across multiple domains such as energy opti- mization and AI-driven design. Demonstrated leadership in managing research projects, mentoring diverse teams, and pioneering innovative solutions at the technology-engineering interface. AchievementsAI Research Scientist - Prescriptive Data (Nantum AI) 2023 - Present Designed AI-driven chatbots and insight generators for energy optimization. Used physics-infused ML modeling for building energy optimization. Postdoctoral Researcher - Purdue University 2021 - 2023 Led development of technologies for NASAs habitats. Guided graduate students in simulation framework development for habitat design. Research in AI and Robotics - Sharif University of Technology, University at Buffalo and Purdue University 2014 - Present Published papers in top-tier journals. Received best paper award in evolutionary AI for swarm robotics. ExperienceAI Scientist - Prescriptive Data (Nantum AI) 2023 - Present Implemented ML models for energy optimization. Developed NLP and large language models for user interaction (chatbot and automated reports). Postdoc Research Assistant - Purdue University 2021 - 2023 Researched sustainable solutions for lunar habitats. Guided MS and PhD students through complex projects. Graduate Research Assistant - Movafaghian Center 2014 - 2017 Developed robotic systems for rehabilitation. Designed and commercialized balance training apparatus. Design Engineer - University at Buffalo 2017 - 2021 Led design of autonomous solar-powered robots. Authored multiple peer-reviewed journal articles. Skills Technical Skills: Advanced proficiency in programming languages including Python, Matlab, C/C++, SQK, and R. Expert in utilizing AI frame- works such as TensorFlow and PyTorch for complex simulations and data analysis. Software Proficiency: Experienced with PyBullet, V-REP, Git, and LaTeX. Engineering Software: Proficient in Solidworks, AutoCAD, ANSYS. Operating Systems: Extensive experience with Unix/Linux and Windows. Soft Skills: Strong project management, leadership, mentoring skills. EducationPh.D., Mechanical Engineering - University at Buffalo 2021 Specialized in machine learning and AI applications in engineering. M.S., Mechanical Engineering - Sharif University of Technology 2014 Focused on mechanical system design and analysis. B.S., Mechanical Engineering - Sharif University of Technology 2011 Graduated with distinction in mechanical engineering. ReferencesAvailable upon request.