Engineering Assistant

YOGESH S IYER

+1-647-***-**** • adc38b@r.postjobfree.com

LinkedIn: www.linkedin.com/in/yogesh-iyer

HIGHLIGHTS

• 1.5+ years of software development experience with strong analytical and problem-solving skills.

• Proficient in software development using C, C++, Java and Python programming languages along with TensorFlow, Keras.

• Excellent communicator and can interact effectively with clients, engineering and management groups. EDUCATION

UNIVERSITY OF TORONTO Toronto, Canada

Master of Engineering (MEng) in Electrical and Computer GPA 3.5/4.0 [Sep 2018-April 2020]

• Courses: Cloud Computing, Digital Image processing & Its applications, Seminar in Identity Privacy and Security, Project Management, International Business for Engineers, Embedded Systems (ongoing)

• mphasis : ELITE (Entrepreneurship, Leadership, Innovation & Technology in Engineering) BIRLA VISHVAKARMA MAHAVIDYALAYA (BVM) Gujarat, India Bachelor of Engineering in Electronics and Communication GPA 9.18/10.0 [Aug 2014-Aug 2018]

• Courses: Computer programming and utilization, Design Engineering, Digital Electronics, Simulation

& Design Tools, Analog Circuit Design, VLSI Technology, Antenna & Wave Propagation, Fundamentals of Image Processing

• Teaching Assistant: Evaluated and managed tutorial/lab sessions and held one-to-one office hours for doubt clarification sessions for first year students. (Analog Electronics) RELEVANT PROJECTS

Mandelbrot Viewer [Jan 2020- Apr 2020]

Course: Embedded Systems Prof. S.D.Brown Programming done using C,C++ DE1SoC Board

• Presented idea of implementing the Mandelbrot algorithm using VGA monitor to display and mouse to zoom in and zoom out at a speed of 60 frames per second.

• Mandelbrot set images have been created by sampling the complex numbers Money Planner Webapp using Amazon Web Services (AWS) [Sep 2019-Dec 2019] Course: Cloud Computing Prof: Eyal De Lara Programming done using Python (Flask), HTML, CSS

• Presented idea of a web-app for planning money expenditure that allows user to upload an image of receipt, extracting text from it and calculating the expenses category wise and put it in a pie chart.

• It has a search bar to search for specific category of receipts & face unlock for the login purposes.

• AWS services such as: Lambda, S3, DynamoDB, Textract, Rekognition etc. has been used. Localizing Vehicles via Semantic Segmentation [Sep 2019-Dec 2019] Course: Digital Image Processing Prof. K.N. Plataniotis Programming done using Python (Keras), MATLAB

• Presented idea of a semantic segmentation algorithm on the urban scenes, to investigate its performance on autonomous driving.

• For semantic segmentation Deep Seeded Region Growing (DSRG) technique is used which is a Neural Network whose objective is to classify whole image in either an object group or background.

TECHNICAL SKILLS

Operating Systems: Linux, Unix, Windows, Raspbian

Languages: C, C++, Python, JavaScript, Verilog, MySQL Software and Tools: AWS (EC2, Zappa, Lambda, IOT, S3), TensorFlow, Keras, Proteus, MATLAB, Simulink, KEIL, Cadence Virtuoso, OrCAD

RELEVANT EXPERIENCE

Electronics Technology Assistant [Sept 2019- Present] University of Toronto, Canada

• Microcontroller programming including Raspberry Pi and Arduino

• Experience in soldering PCBs and Debugging PCB and building electronic devices.

• Technologies used: Arduino, Raspberry Pi, Proteus, Visual Studio Mentor [June 2019- Sep 2019]

Code it Hacks, Toronto, Canada

• Tutoring children from age 5 to 12 yrs.

• Teaching them fundamentals of electronics, Microbits, Arduino programming, SCRATCH programs Trainee [June 2017- Aug 2017]

Emerson Automation Solutions, Vadodara, India

• Learned about the devices like orifice, turbine and ultrasonic meters used in conjunction with flow measurement of oil and natural gas.

PUBLICATIONS

• Automated Grocery Merchandising System, International Journal of Science and Research (IJSR) ISSN

(Online): 2319-7064, Volume 7 Issue 5, May 2018, Yogesh Sivasankaran1, Ankur Varma2, Darshi Contractor3 (report)

ADDITIONAL INFORMATION

• PCB team lead at University of Toronto Hyperloop

• Fluent in English and Hindi.

• Excellent communication and presentation skills

• Organized and volunteered in various events.

• Eligible to work in Canada after graduation with an intention to apply for Canadian Citizenship.

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