Ankit Das

Sr Automation Engineer at Dexcom

Based in San Diego, United States

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Seniority

Staff

Department

Engineering

Location

San Diego

Industry

Medical Equipment Manufacturing

Company size

8.2K

Contact information

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Email

1 credit

a•••••••@dexcom.com

Phone

5 credits

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Background

About Ankit Das

The world is witnessing an exponential growth in the use of engineering and technology in various fields: health care, sanitation, agriculture, construction, industry, and rescue operations to name a few. Yet, the road to further development is long and a lot needs to be done to make life easier and safer for people living in rural as well as urban areas. During the course of my research at the Bio-inspired Robotics Technology and Healthcare (BIRTH) Lab as a part of my MS in Robotics & Autonomous Systems (Mechanical Engineering) at the Arizona State University, I gained clarity about my future goals. With every new concept learnt, my inquisitiveness has intensified. My passion lies in the Mechanical Design of components whether for Robotics or any other manufactured product. CAD Modeling Softwares: Solidworks, CATIA V5, AutoCAD, Siemens NX, Fusion 360 Programming Languages: Python, MATLAB, Ladder logic (PLC) Other skills: ROS (Python), FluidSim, Simulink, Gazebo, Microsoft Office - Sr. Automation Engineer at Dexcom - Master of Science in Robotics & Autonomous Systems (Mechanical Engineering) from Arizona State University - Bachelor of Technology in Mechatronics Engineering from Manipal Institute of Technology, India - Consistent demonstrator of collaborative & problem-solving mindset, creative thinking, with a focus on interdisciplinary learning and knowledge integration capabilities - Consistent track record of completing various industrial projects according to defined specifications & demands within agreed timelines - Developed an elementary understanding & basic awareness of the process in designing, testing, and manufacturing robots that are cost-effective and capable of performing any complex, dangerous, and dirty tasks that humans don't prefer, which also leads to productivity optimization

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