AMANUEL MAMO 509-***-**** ********@**.*** linkedin.com/in/amanmamo
SUMMARY OF QUALIFICATIION
• Results-oriented mechanical engineer with 5+ years of work experience, working towards a master’s degree in material science and engineering, Fluent with computational modeling, product design and system testing. SolidWorks – Surface Modeling, Functional assemblies COMSOL – 2D & 3D FEA, Structural Mechanics modeling Fabrication & Machining – Mill & lathe, GD&T, G-code MATLAB – System optimization, Data Visualization
Python – Deep learning, Supervised and
Unsurprised ML methods
• Recipient of the UW Mechanical Engineering Outstanding Research award, UW Neuroengineering undergraduate fellow, UW S-STEM scholarship recipient and 3 times Dean’s list
• Assisted in planning and organization the annual National Association of Black Engineers (NSBE) diversity Fair attended by over 2500 students and 500 staffs
• Professional proficiency in both Amharic and English EDUCATION
University of Washington, Seattle, WA Expected June 2021 Master of Science, Material Science and Engineering GPA: 3.88/4.0 Relevant coursework (through Fall 2020): Data Science and Material Informatics University of Washington, Seattle, WA Graduated June 2020 Bachelor of Science, Mechanical Engineering GPA: 3.5/4.0 Relevant coursework (through Fall 2019): Finite Element Analysis (FEA), SolidWorks, Heat Transfer, System Dynamics, Material Science, Thermodynamics, Fluid Dynamics, Mechanical Design, Biothermal, Stress and Fatigue Analysis RELEVANT EXPERIENCE
Graduate Researcher, University of Washington, Seattle, WA January 2018 – Present
• Leveraged concepts of system dynamics and mechanical design to perform structural dynamics analysis to obtain the effect of Rayleigh damping on wing strain
• Collaborated in the designing and fabrication of a fully autonomous biohybrid system with a sensor suite that allowed it to control its position and avoid obstacles while moving through confined spaces
• Applied FEA and CAD tools to design a bio-inspired flapping wing to understand optimal sensor locations on a wing
• Executed wind tunnel testing to test develop an obstacle avoidance system using onboard vision
• Parametrically modelled various wing designs on with the ability to modify key dimensions, features and material properties
Math Instructor, Mathnasium, Shoreline, WA September 2019 – Present
• Interacted with lead instructors to develop practice questions for students and helped them raise their grades by 30%
• Adapted teaching methods and materials to meet students’ varying needs and interests
• Use manipulatives when needed, particularly with children, then relating the pictures to the written problems Product Specialist, Apple Inc, Seattle, WA October 2019 – Present
• Demonstrating exceptional, consistent and comprehensive knowledge of Apple technology and applications while maintain a high degree of professionalism
• Describing product to customers and accurately explaining details and care of merchandise by asking open ended questions to identify customers’ needs and matching them with the best products or services ADDITIONAL EXPERIENCE
Capstone, University of Washington, Seattle, WA September 2018 – Present
• Designed and performed harmonic and structural analyses on an ultrasonic blade to validate performance
• Investigated areas for efficiency in various materials after performing tests such as tension, torsion and buckling PUBLICATIONS & ARTICLES
AH Mamo, AI Weber, TL Mohren, M Babei, TL Daniel: Finite element analyses of flapping wings meets inertial sensing, The Society for integrative & Comparative Biology, January 2021