Ashwin Suresh
+1-515-***-**** *************@*****.*** ashwin-suresh-67598775
Education
University of Southern California, Los Angeles, CA MSc Mechanical Engineering
Relevant Coursework: Autonomous Cyber-Kinetic Systems, Advanced Mechanical Design, Gradient and Heuristic based optimization, Machine Learning, Supervised Learning algorithms, Materials Selection, Linear Matrix Transformations, DFMA, Micro Electro-Mechanical Systems. Jan 2019- Dec 2020
Cumulative GPA: 3.59
Iowa State University, Ames, IA
BS Mechanical Engineering
Aug 2013- Dec 2017
Skills
Programming: Python(scikit-learn, numpy, pandas), MATLAB, Simulink, R studio, Robotic Operating System (ROS), Linux CAD /Finite Element Analysis: SolidWorks, AutoCAD, CosmosWorks Others: 3D Prototyping, PLA based 3D printing, EE Equipment use (oscilloscope, meters, basic circuitry), Six Sigma DMAIC, Minitab, Granta Edupack (material selection). Work Experience
Robowind LLC Long Beach, California
Robotics Engineering Intern May- August 2020
• Developed, tested, and prototyped novel tools for a fast-paced robotics startup in the wind-energy sector to solve and accomplish tasks involving wind-turbine blade maintenance potentially reducing maintenance costs of wind turbine operators by 10% and downtime by 85%.
• Engineered designs created multiple iterations of prototype utilizing CAD, FEA, FDM 3D printing, tools such as CNC mills, lathes drill presses and performing trade-off, mechanical design & market research studies. Resulting tools addressed an entire stage of the leading-edge repair process.
• Led a team of three mechanical engineers, conducted regular check-ins between engineers and management, identified key points of development in each project and offered insight on key engineering problems.
• Pushed for the development and the implementation of comprehensive documentation for mechanical design projects that were being undertaken to reduce latency and lead-times for the development of key tools.
University of Southern California- Impact lab Los Angeles, California Robotics Engineer May 2019- Present
• Team leader for mechanical design and prototyping. Assisting in creating a ROS based virtual system to test algorithms in.
• Designed and prototyped a novel robot from the ground up using SolidWorks, Laser cutting and PLA based 3D printing methods that is capable of physically realizing multi-agent box pushing scenarios.
• Developed a ROS environment utilizing packages such as R-viz and SLAM-Gazebo; establishing a foundational ROS graph for nodes to operate within.
• Currently working on implementing navigation algorithms into simulated robot for testing purposes.
• Prototype I of the robot is capable of localization using Multi-lateration algorithms, April Tags in field of vision and directing toward the object using IMUs. Locomotion is achieved by using dead-reckoning algorithms.
The Schwan Food Company Florence, Kentucky
Process Engineering Intern. January- July 2017
● Led the evaluation, validation and optimization of new processes at Schwan’s manufacturing plants by performing process capability tests, collecting hundreds of data points processing them to provide potentially useful statistics to improve efficiency and quality of goods produced.
● Assisted in the development of processes for new Finished Goods, Line Extensions and Continuous Improvement.
● Supported manufacturing and continuous improvement team at plant to solve technical problems.
● Provided technical support during the evaluation and integration of potential acquisitions. Other Projects
Redesign of an Inexpensive Ventilator
• Project aimed at reducing manufacturing and assembly costs associated with developing the Protofy OxyGen low-cost ventilators in times of crisis (global COVID-19 pandemic)
• Re-engineered the shell of the ventilator keeping in mind design-practices commonly used for creating injection molded parts. Reduced costs by $25.66 per unit.
• Designed a novel sub-system to change the cam of the ventilator without the need to access the interiors of the device.
NBA Playoff Predictor:
• Designed and encoded a predictive algorithm which would use k-Nearest Neighbor learning to predict with an accuracy of 75% a NBA team’s playoff chances.
• Algorithm used adjusted five factors as a basis to predict chances. Over 500 data points were collected using repositories available online.
Redesign of Roll Over Protection System (ROPS) – Materials Selection Project.
• Redesigned material used in ROPS for light off road vehicle using a variety of material selection techniques.
• Identified the associated constraints, objectives and free variables and selected an optimal material based on material screening, weight factor analysis, cost model analysis and manufacturing process methods. All in One Coffee Maker (Machine Design Project)
• Designed from the ground up a coffee maker capable of making cold brew coffee and as well as drip coffee directly from beans fed via hopper.
• Conducted ethnography which led to identification of key customer needs, functional requirements, design parameters and morphological chart.
• Identified key feasibility equations, bill of materials and physical properties of the machine and grinder involved
• Developed a complex 3D assembly for the grinder and for demonstration a prototype was created using PLA based 3D printing methods.
Caterpillar Inc. ACSD Hosur, TN, India
Manufacturing Engineering. May- August 2016
● Delivered Six Sigma DMAIC project to improve velocity and quality of production line at ACSD.
● Assisted in the creation and management of standard documents such as SWS, SOPs, Tool lists et cetera, for incoming gearbox variant