Keerthi Suresh

I have always been persistent about setting goals and achieving them. That is why I am attracted to roles that are impactful and challenging.
My career has always focused on utilizing technology to make businesses and lives better.
A technology graduate from IIT Madras, I have fostered versatile experiences while maintaining a good academic record.
Case study and entrepreneurship experiences in Australia to research in Japan to educational content creation in Kerala, each exploration helps me to learn more about what ticks in this world.
Always trying to conquer mountains, one step at a time.

Experience

Associate Consultant, NRI Digital

Nomura Research Institute, Japan

Oversee creation, launch and maintenance of e-commerce platform for food reservation service of leading convenience store chain with 21200 stores, $1.32bil market size, 25 million customers, $100mil revenue, reducing 350 tons of food waste monthly
Work across 4 internal and external teams of 20 members and 3 nationalities in areas of infrastructure, development, documentation and security to accelerate product development.
Designed and implemented test automation script that reduces testing time by 5 hours
Demonstrated leadership by managing communications with client-side executive and marketing teams

January 2022 - Present

Research and Development Engineer

Konica Minolta, Japan

Digitally transformed printing press by building 2 applications to streamline operation management, benefitting 25000 printing presses
Developed scalable dashboard application automating data flow from raw machine data to real-time visualization of workflow
Created and validated task management application that eliminates 30min-1hr operational transition time between shifts
Represented engineering teams in discussion conferences with marketing team and US external consultants to finalize product strategy
Awarded early promotion after 3 months for high job performance, omitting year-long training

October 2019 - December 2021

Research

Deep Learning to Predict Optimal Constellation

Australian National University, Canberra

Worked in the school of engineering and computer science under the guidance of Prof. Sean Zhou.
Used Machine learning approach to find the optimal constellation for a new splitting receiver architecture.
Conducted simulations to determine the correlation between the different component noise factors and the constellations. Plotted Signal to Noise Ratio(SNR) v/s Symbol Error Rate(SER) for different splitting ratios to conclude that deep learning is reliable to determine message-to-symbol mappings.

July 2019 - September 2019

Using Probability to Improve Wireless Networks

Nagaoka University of Technology

Worked on improving fairness in wireless ad-hoc networks using a probabilistic approach.
Studied and analyzed various scheduling protocols like PCRQ, devised a method and verified its efficiency through simulations in NS2.

December 2018 - January 2019

Control Method for Wireless Power Transfer

University of Tokyo

Simulated, executed and verified control algorithm for Wireless Power Transfer to Electrical Vehicles.
Showcased fast-learning by critically studying architectures to choose the apt module and delivered project on time.

May 2018 - July 2018

Voluntary Work and Internship

Program Manager

XandY Learning, Kerala, India

Helped start up company that emphasizes importance of activity-based STEM education for students in rural schools
Held talks with government decision-makers to implement activity-based learning, benefitting 6000 students in the villages of Kerala
Developed textbooks and video lectures for 9th and 10th grades students in chemistry and physics
Giving talks and advising students on test-taking skills, opportunities in high ed and STEM, and importance of learning

May 2019 - Present

Summer Intern

Center of Excellence in Wireless Information Technology (CEWiT), Chennai, India

Implemented full-fledged channel emulation module in TI System-on-Chip(SoC) based Evaluation Module.
Coded an algorithm for channel generation for 3 fading models and 9 Power Delay Profiles to run within 0.1 ms.
Executed time and resource tests for the module in the simulator and System on Chip.
Debugged, optimized and integrated convolution and channel estimation modules to the testbed project.

May 2019 - July 2019

Education

Indian Institute Of Technology Madras

Bachelor of Technology in Electrical Engineering

GPA: 9.35

Final Year Project: Digital Pre-Distortion using Deep Learning

Developed a Deep Neural Network to increase the efficiency of Power Amplifier in a wireless communication system.
Determined the architecture of the system required to pre-distort the signal effectively, thereby saving power.

August 2015 - May 2019

Saraswati Vidyanikethan School

Senior High School

Class 12th Percentage: 96.8%

June 2013 - March 2015

Skills

Programming Languages & Tools
Languages
  • Japanese (highest non-native level), English (native level), native Malayalam and Hindi

Entrepreneurship
  • Student Entrepreneur at Canberra Innovation Network Australia (August - September 2019)
    Participated in intensive workshops that teach to conceive, develop and validate an innovative business idea. Learned from key players in the startup community through expert seminars. Was mentored by local entrepreneurs and businesspeople.

Case Study
  • One of 10 finalists selected among 150 students to present at PwC Canberra office for the case competition in collaboration with ANU Consulting Soceity (July, 2019).
    Final presentation got special mention for in-depth financial analysis and energetic communication.

Leadership
  • Led a team of 5 in the Global Project-Based Learning program (GPBL) held in Shibaura Institute of Technology, Japan (December, 2017).
    We won the gold award for best project. The team was inter-disciplinary and included members from Singapore, Vietnam, and Japan. Since the elderly population in Japan is on the rise, the posed problem was to devise a way to improve the well-being of elderly using smart house. We developed a solution of meal planning using the smart fridge and came up with an implementation and evaluation plan for it.

Interests

Apart from learning about how to fix problems using technology, I enjoy cooking and working out. On a holiday, I love to go out and soak up some sun.

Representing Nomura Running Club team in Tokyo Olympic Stadium Relay Marathon, I ran 25K in June 2022

My cross-cultural experiences have inspired me to learn more about how cultures affect business behaviors. I am also learning Japanese and an avid explorer of various How-tos in Japan. I also love writing and my creative let-out is this blog.

Awards & Certifications

  • Graduate Management Aptitude Test (GMAT), 2022
    Placed in the 99th percentile of all test-takers worldwide.
  • Japanese Language Proficiency Test (JLPT N2), 2021
    Awarded the highest non-native level japanese language certification.
  • Japan Student Services Organization (JASSO) Scholar, 2018
    Honored with JASSO Scholarship to attend the Global PBL held at SIT, Omiya.
  • All India Joint Entrance Examination, 2015
    Placed in top 99.7% in nationwide Engineering Entrance Examination.
  • National Talent Search Examination (NTSE), 2013
    State-level Runner-up and awardee of National Talent Search Examination (NTSE) Scholarship, India.
  • Rajya Puraskar Guide, 2011
    Rajya Puraskar is the second highest national honour given to guides who accomplish a certain level of tasks including first aid, survival in emergency situations, tent-making, etc.