About
Hello! I am Adharsh Sabukumar, a student at Purdue University (main campus) pursuing my masters in Electrical and Computer Engineering. I love programming and I am deeply passionate about research, digital signal processing, automation and building systems which make life easier. I worked as a Senior Software Engineer at Sedai for the past two years. As a member of the core engineering team at SEDAI, I am responsible for building new features and recommendation models for the SEDAI core engine. My area of expertise includes designing end to end machine learning products, data analysis, research understanding, digital signal processing and programming.
Technology & Research Philomath
- April, 1997
- West Lafayette - IN, 47904
- Master of Science in Electrical and Computer Engineering.
- s.adharsh.97@gmail.com
I enjoy playing badminton and basketball on my weekends. I am a huge fan of music and like to collect CDs and records. I have published 2 research papers in Audio Signal Processing and Machine learning domain.
A bit About myself
Professional Experience
Sr. Software Engineer
Aug. 2020 - Jul. 2022
- At Sedai, we are building an autonomous cloud infrastructure management system. We increase and ensure higher service availability by proactive monitoring, modelling past incidents and remediation workflows, improving efficiency and eliminating redundant manual efforts.
- Developed and delivered features for SEDAI core engine.
- Notable features implemented: Release Intelligence (patent filed), SLO Tracking, Adaptive Grouping, Remediation workflows for resources, Api integrations etc.
- Additional repsonsibilities include verifying remediation actions of SEDAI core engine in production environments.
Research Intern
Feb. 2019 - Mar. 2020
Dept. of Electronics Engineering, College of Engineering Trivandrum
- Worked under Dr. Rajeev Rajan in the study of speech mimicry (an artform in India). Developed a system capable of accurately ranking the performance of professional artists in mimicking a known target voice by using a custom model trained with features extracted from the target speaker's voice.
- Other areas of study were speaker identification and speaker verification systems
Development Intern
May. 2018 - Sept 2018
Open IoT Dept. International Center for Free and Open Source Software
- RISC V Development: Wrote libraries for an early stage development board, HiFive 1 rev B from SiFive.
Education
Bachelor of Technology in Electronics & Communication Engineering.
2016 - 2020
College of Engineering Trivandrum
CGPA: 8.49 on a scale of 10.
Noteworthy MOOC's
Deep Learning
Deeplearning.ai
Sep, 2020
- Learned neural networks such as Residual Networks, AlexNet, LeNet, VGG, CNN, RNN (LSTM and GRU), Inception (v1,v2 &v4),ResNeXt, SENET, Yolo and ENAS.
- Hands on projects in Image Classification, Object detection, Image captioning, Image Segmentation and Instance Segmentation and Real time deployment on GCP & AWS EC2.
- Gained insights on ML algorithms and the math behind them.
Python Programming
University of Michigan
Aug, 2020
Java Programming: Solving Problems with Software
Duke University
Aug, 2019
Research Publications
- Competency Evaluation in Voice Mimicking Using Acoustic Cues,Interspeech 2020, Oct. 2020, Shanghai, China
- Evaluation of Voice Mimicking Using I-Vector Framework, International Conference on Speech and Computer, SPECOM 2020, Sep. 2020