CV

Education

• M.S. in Electrical and Computer Engineering, University of California, Davis, 2021 - Present
  CGPA: 4.0/4.0

• B.E. in Electronics and Communication Engineering, SSN College of Engineering, Anna University, 2016 - 2020
  CGPA: 8.41/10

Skills

HDL: Verilog
Programming Languages: C/C++, Python, CUDA, Embedded C
Hardware Platforms: Spartan®-3E FPGA, Arduino, Raspberry Pi, ARM LPC2148, Intel 8086 & 8051
EDA/Software Tools: Cadence PSpice, Virtuoso, Xilinx® ISE, ModelSim, MATLAB, Keil uvision
Open-Source: Tensorflow

Experience

Graduate Teaching Assistant, University of California, Davis
Apr 2021 – Present

• DES 111 - Coding for Designer, Spring 21, Spring 22
• EEC 18 - Digital Systems I, Spring 21, Summer 21, Spring 22
• EEC 7 - Introduction to Programming and Microcontrollers, Winter 22
• DES 40C - Design/ Aesthetics/ Experience, Winter 22
• DES 001 - Introduction to Design, Fall 21
  • Extensively used the learning platform, Canvas, to set up assignments, attendance and grades
  • Gave software assistance and mentored students through emails and office hours

Project Intern, Indian Institute of Technology - Madras
June 2020 - October 2020
(See Work)

• Worked on the CUDA implementation of Parallel BloomTree - a space-efficient approximate representation for graphs using bloom filters for GPU under Dr. Rupesh Nasre.
• Tested the performance of the implementation on the Breadth-first search, Greedy vertex colouring and Tarjan’s strongly connected components algorithms.

Undergraduate Research Assistant, Solarillion Foundation
April 2018 - May 2020

• Researched and developed algorithms using Python for Indian rural microgrid systems to improve system efficiency, agricultural productivity and energy utilization.
  • Work 1: Intelligent Interconnection of Operating Micro-Grid and Irrigation System in Dharnai - A Rural Indian Scenario
    April 2018 - March 2019
  • Work 2: Smart Energy Routing For Rural Islanded Microgrid Clusters
    April 2019 - November 2019
  • Work 3: Irrigation Load Optimization for Enhanced Agricultural Productivity in Rural Microgrid Clusters
    November 2019 - May 2020
    

Vetronics Trainee, CVRDE, Defence Research and Development Organisation
May 2019

• Extensive hands-on training in the architecture, components and functioning of automotive, fire detection and suppression and laser warning and countermeasure systems in Main Battle Tanks.

Projects

Projects done can be found here.

Courses and Certifications

• GPU Architecture and Programming, IIT Kharagpur (OCW)
• Multi-Core Computer Architecture - Storage and Interconnects, IIT Guwahati (OCW)
• Deep Learning, NPTEL, IIT Madras
• Practical Machine Learning with Tensorflow, NPTEL, IIT Madras & Google
• High Performance Computing Basics, National Supercomputing Mission

Publications

Irrigation Load Optimization for Enhanced Agricultural Productivity in Rural Microgrid Clusters
Raj Vignesh Karunakaran, Rohitaa Ravikumar, Karthni Lakshmanan, Marjerie Suresh, Vineeth Vijayaraghavan.
2020 IEEE Global Humanitarian Technology Conference (GHTC).

Smart Energy Routing For Rural Islanded Microgrid Clusters
Marjerie Suresh, Janani Jayaraman, Karthni Lakshmanan, Aswin Gopikanna, Vineeth Vijayaraghavan.
2020 IEEE Texas Power and Energy Conference (TPEC).

Intelligent Interconnection of Operating Micro-Grid and Irrigation System in Dharnai - A Rural Indian Scenario
Hari Vignesh Baskar, Marjerie Suresh, Abishek Coimbatore Sridhar, Sai Shankar Muthukrishnan, Vineeth Vijayaraghavan.
2019 IEEE Global Humanitarian Technology Conference (GHTC).

Honors and Awards

2019 Semi-finalist, Smart India Hackathon 2019 – Hardware Edition
2018 Funding for “Rubik’s Cube Solver Bot” (INR ₹24,000), The SSN Trust
2017 Innovator of the year - Runner, IEEE Communications Society

Volunteer Experience

2019 Reviewer, IEEE Texas Power and Energy Conference (TPEC) - 2020
2019 Event Head, National Technical Fest - Invente
2018 Organiser, Digital Electronics Workshop - IEEE Communications Society