You can find my Resume at https://drive.google.com/open?id=1xGfV191wPZoF8EiNfUsyBcr531Nnj4Aj

1. Jayasurya Sevalur Mahendran
(480) 307 5037 | jsevalur@asu.edu | linkedin.com/in/jayasurya-sevalur-mahendran
SUMMARY
Robotics and Autonomous Systems Graduate student with internship experience in Data Science, Deep Learning, Swarm Robotics,
Embedded Systems Design and Programming. Looking out for Internship/CO-OP Opportunities to start from May 2020.
EDUCATION
• Master of Science in Robotics and Autonomous Systems (Artificial Intelligence) Expected May 2021
Arizona State University, Tempe, AZ, USA CGPA – 3.67/4.0
• Bachelor of Engineering in Instrumentation & Control Engineering May 2019
Anna University, Chennai, India, University Gold Medalist CGPA – 8.96/10
PROFESSIONAL EXPERINCE
Graduate Research Aide, ASU College of Health Solutions, Phoenix, Arizona Aug 2018- Present
• The research is focused around Alzheimer’s & Parkinson’s related disorders using MRI-based protocols, EEG
techniques and physical activity.
• My current responsibilities include developing deep learning model for Brain wave analysis and Brain Imaging to
segment any required region, Developing Applications in LabVIEW, Assisting with data collection of ECG, EMG
and motor testing, also on analyzing EEG and MRI data, generating graphs and table for reporting.
Machine Learning and Process Technology Intern, Council of Scientific & Industrial Research (CSIR) Nov 2018- Mar 2019
• Designed and Developed a Multi-Model Biometric System using Raspberry Pi and Deep learning that uses Facial, Vein, Iris
recognition to determine the person with an accuracy of 93.6%.
• Established cost-efficient and time effective milestones and also improved the security level.
Instrumentation and Telecom Intern, Saipem India Projects Pvt. Ltd. Oct 2018 - Nov 2018
• As a part of cross functional team, performed indexing on Piping and Instrumentation Diagram (PID) and sizing & selection
of valves for flow, level and temperature process.
• Designed the model of the plant using Smart Plant Instrumentation, and 3-D modeling software (PDMS, SP3D)
CERTIFICATIONS
Applied AI with Deep Learning by IBM, Coursera, Internet of Things, Introduction to Machine Learning, Linear Integrated
Circuits, Electrical Circuits NPTEL, Python Programming, Udemy, Programming in Java, Oracle
TECHNICAL SKILLS
Programming Languages: C, C++, Java, Python, R |Operating Systems: Linux OS: Ubuntu, CentOS |Software Tools: Debian,
Raspbian, Proteus8, MATLAB &Simulink, LabVIEW, Arduino IDE, ARM Controller
COURSE PROJECTS
E-Waste 3-D Printer using Arduino Mar 2018 - Oct 2018
• Built a printer using 80% of recycled components; used Repetier to link printer with Arduino and integrated it with a slicer
software that generates a sequence of sections of the object to be printed
Team Lead, Smart India Hackathon 2018 Software Edition (Team size: 6) Feb 2018 - Mar 2018
Voice Control for Home Automation using Smart Energy Meter
• Designed Arduino and Amazon Alexa voice service based smart home automation project based on smart energy meter to
monitor power consumption by electronic devices (light, fan, etc.); Ranked in top 10 out of 2K teams
Team Lead, Smart India Hackathon Hardware Edition 2018(Team size: 6) Jan 2018 - Jun 2018
Multi Model Biometric System using Raspberry Pi and Deep Learning
• Developed cost-effective Biometric system using Raspberry Pi and cryptographic algorithms (RSA &enhanced AES-256);
finished among top 10 out of 2000 participants
AWARDS
• Recipient of International Society of Automation Educational Foundation Scholarship 2019.
• Received Innovator Award for the project 'E-Waste 3-D Printer using Arduino' at the national-level project contest sponsored
by IEEE Madras Section, SSIT & ES, Sep 2018
• Secured All India Rank of 2 among 500,000 students in Indian Engineering Olympiad, May 2018
• Won Alexa Skill Wizard Challenge 2017 among 500 entries, Hackerearth.com, Dec 2017
• Won Rural Development Hackathon 2017 conducted by Hackerearth.com among 5000 entries, Sep 2017