About
I am a Software Development Engineer and Independent Researcher.
I Used to work as a Software Development Engineer, Testing Virtual Network Functions(VNF) and solve Cloud based challenges related to Telecom Industry at Ericsson, Bangalore, Karnataka.
I am interested in Deep Learning and Computer Vision with specific focus on GANs, Adversarial Machine learning and Federated Learning. I am inclined towards working on projects that involve working on the intersection of these fields.
I enjoy playing Table Tennis, Fixing Broken Electronics, Watching Movies and Programming.
Resume
Education
Bachelor of Technology in Electronics and Communication Engineering
2013 - 2017
Amrita School of Engineering, Coimbatore, India
GPA: 8.68
Volunteering & Teaching
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Volunteer for the thirty-seventh International Conference on Machine Learning, ICML 2020. Certificate of Appreciation
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AI Saturdays Ambassador - Cycle 1: Hosted weekly Meetups to help people get started with deep learning and have healthy discussions. Testimonial
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Ericsson Internal Trainer for Machine Learning and Python Competence development. Trained more than 50 Colleagues and enabled them to apply machine learning to Telecom and IT industry.
Python Materials available at Link
Awards & Achievements
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Ericsson Maestro Award - 2019 from Head of BA Managed Services MS IT & ADM Unit- Oct.2019 Momento
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Ericsson Impact Award - 2018 from Head of BA Managed Services - Mar.2019 Email
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1 out 15 Top performers for 2018-2019 in BMAS SA MS IT & ADM Unit - Feb.2019
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2018 Q3: Power Award for Extensive Contribution towards automation initiatives in BMAS SA MS IT & ADM Unit - Sept.2018
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One of the 15 Selected Outreach Participant to attend Computational Science Symposium (CSS-2017) at Indian Institute of Science, Bangalore
Professional Experience
Software Development Engineer
Sept 2017 - Dec 2019
Ericsson, Bangalore, India
- Handled automation and testing tool development activities for SIP protocol based Toll Free and Interactive Voice Response systems.
- Extensively used Python, Flask, AWS, REST API, Git and Machine Learning to improve software quality and drive testing efficiency.
Software Engineering Intern
April 2017 - Sept 2017
Ericsson, Bangalore, India
- Test automation for service assurance and system integration testing team which handles life cycle management of VNF workloads.
- Tools Used: Python, Selenium, Robot framework, Openstack and various ericsson cloud platforms like ECM, EOC etc. Key Responsibilities: API Automation, Web GUI Automation. Internship Report Summary
Research Intern
May 2017 - July 2017
HTIC-IIT M Research Park, Chennai, India
- Developed Low-Cost Activity recognition models for wearable devices based on Support vector machine, Decision Tree using IMU Sensor data.
- Tools Used: MATLAB, Python, Scikit-learn and LIBSVM. Project Report
Publications
Accepted Publications:
Tracking Inbound Enemy Missile for Interception from Target Aircraft Using Extended Kalman Filter
Gokkul Nath T.S., Sudheesh P., Jayakumar M
Mueller P., Thampi S., Alam Bhuiyan M., Ko R., Doss R., Alcaraz Calero J. (eds) Security in Computing and Communications. SSCC 2016. Communications in Computer and Information Science, vol 625. Springer, Singapore. Link
Preprints:
A Novel Clustered Support Vector Machine with Reduced Support Vectors for Big Data Classification
Gokkulnath T.S., Ramanathan R
Reduction in number of Support Vector is essential because it reduces the computation complexity of the model, which in turn gives the user the ability to implement real time applications on low power computing devices and reduces hardware requirement. Techrxiv
Up to Date List of Publications can be Found at Google Scholar: Link
