A YOUNG CHAP, READY TO ROCK THE WORLD
Dreaming and doing big
SUNDAR ANAND
About me
Young Chap currently a Senior Data Engineer at Walmart, with a Master of Science in Electrical and Computer Engineering from Carnegie Mellon University, where I researched human psychological behavior analysis.
My experience in data engineering spans various technologies, including Kafka streaming and network-based Gremlin databases. Over the past seven years, I have focused on IoT data analysis, which has enabled me to deliver multiple internal products for Walmart Investigations. My passion for this field has also led to the publication of nine research papers and victories in three international hackathons. Previously, I worked at the AngelList startup Ensemble Energy as a Data Engineer/Analyst, specializing in real-time streaming data. I also served as a Data Engineer at Autodesk, where I analyzed customer behavior data to identify patterns and recommend products or services tailored to their needs.
Looking ahead, I aspire to become an end-to-end platform engineer, tackling challenging business problems and developing innovative technological solutions.
EDUCATION
CARNEGIE MELLON UNIVERSITY
Jan 2021 - May 2022
M.S - Electrical and Computer Engineering - Applied Study
GPA: 4/4
- Research Assistant under Prof. Priya Narasimhan - AthleTech lab
- Research Assistant under Prof. John Stamper and Prof. Carlee Joe-Wong - Human Computer Interaction
- Teaching Assistant under Prof. Carlee Joe-Wong - 18661 Introduction to Machine Learning
VELLORE INSTITUTE OF TECHNOLOGY
2016 - 2020
B. Tech - Electronics and Computer Engineering
GPA: 8.83/10
- Program Representative - School of Electronics Engineering
- Teaching Assistant - Data Structures and Algorithms
WHO AM I
PROGRAM REPRESENTATIVE, VIT CHENNAI
July 2018 - August 2019
Program representative of Electronics and Computer Engineering department in Vellore Institute of Technology, Chennai
RESEARCH ASSISTANT - HCI INSTITUTION, CARNEGIE MELLON UNIVERSITY
May 2021 - May 2022
Research assistant under Prof John Stamper and Prof Carlee Joe-Wong, Carnegie Mellon University
RESEARCH ASSISTANT - ATHLETECH LAB, CARNEGIE MELLON UNIVERSITY
Jan 2021 - Jan 2022
Research assistant under Prof Priya Narasimhan at AthleTech lab, Carnegie Mellon University
TEACHING ASSISTANT - DATA STRUCTURES
July 2018 - November 2018
Teaching assistant under Prof Karthik. R for Data Structures and Algorithms in Vellore Institute of Technology, Chennai.
VOLUNTEER OF THE FLAGSHIP CONFERENCE OF INDIA - COMSNETS
Dec 2018 - Jan 2019
I was selected as one among the 12 students around the globe to volunteer and attend the ComsNets (Communication Networks) conference, the flagship conference of India in the field fo Networks, with full sponsorship from logistics and food to stay.
BEST PROJECT AWARD
April 2019
Our team SmarTrack was awarded for the best project of the year by Vellore Institute of Technology's Founder and Chancellor Dr. G. Viswanathan. The project was in the domain of Embedded Systems, Data Communication Networks, and Machine Learning!!
WINNER - MAKEATHONS AND HACKATHONS
2018 - 2020
First place of a Makeathon conducted by Valeo - Building an AI-enabled cooling technology for high-frequency voltage converter (58V to 42V).
First place of a hackathon conducted by ACM and Mozilla - An automated smart security system which recognizes the known people and also criminals. Autonomous criminal tracking was also done and suitable alerts were sent to the police.
Won Rs 20K at Hackhub - 24 hours hackathon conducted by IEEE Computer Society - Predicting the damage level of the buildings after the Earthquake using CNN with residual blocks. Suitable mobile app and mail alerts to police, ambulance and fire service were done.
RESEARCH WORKS
Jan 2018 - Present
Journal Papers:
1. Karthik, R., M. Hariharan, Sundar Anand, Priyanka Mathikshara, Annie Johnson, and R. Menaka. "Attention embedded residual CNN for disease detection in tomato leaves." Applied Soft Computing 86 (2020): 105933.
(https://www.sciencedirect.com/science/article/pii/S1568494619307148?dgcid=coauthor)
Impact factor: 8.263
2. Karthik, R., R. Menaka, Annie Johnson, and Sundar Anand. "Neuroimaging and Deep Learning for Brain Stroke Detection-A Review of Recent Advancements and Future Prospects." Computer Methods and Programs in Biomedicine (2020): 105728.
(https://www.sciencedirect.com/science/article/abs/pii/S0169260720315613)
Impact Factor: 7.027
3. Karthik, R., R. Menaka, Sundar Anand, Annie Johnson, and Kanagala Srilakshmi. "Attention-based residual learning network for COVID-19 detection using chest CT images." In Decision Sciences for COVID-19: Learning Through Case Studies, pp. 367-391. Cham: Springer International Publishing, 2022. (https://link.springer.com/chapter/10.1007/978-3-030-87019-5_21)
4. IEEE Communication Letters
Paper Title: Multi-Path Based Privacy Leakage Avoidance Framework for IP Cameras
Status: Under Review
Conference research papers:
1. Anand, Sundar, et al. "Real-time GPS tracking using serverless architecture and ARM processor." 2019 11th International Conference on Communication Systems & Networks (COMSNETS). IEEE, 2019.
(https://ieeexplore.ieee.org/abstract/document/8711273)
2. Anand, Sundar, et al. "Low Power Real Time GPS Tracking Enabled with RTOS and Serverless Architecture." 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS). IEEE, 2019.
(https://ieeexplore.ieee.org/abstract/document/8821738)
3. Anand, Sundar, and T. Jayavignesh. "An Efficient Mask Reduction Strategy to Optimize Storage and Computational Complexity in Routing Table Lookups." 2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT). IEEE, 2019.
(https://ieeexplore.ieee.org/abstract/document/8868972)
4. Anand, Sundar, et al. “Image-Based Smart Surveillance and Remote Door Lock Switching System for Homes” 2019 Elsevier INTERNATIONAL CONFERENCE ON RECENT TRENDS IN ADVANCED COMPUTING 2019, ICRTAC 2019 (https://www.sciencedirect.com/science/article/pii/S1877050920300648?via%3Dihub)
5. Gnanaprakasam C., Anand S., Manoj Kumar R., Menaka R. (2021) Facial Expression Image Analysis to Classify High and Low Level ASD Kids Using Attention Mechanism Embedded Deep Learning Technique. In: Sengodan T., Murugappan M., Misra S. (eds) Advances in Electrical and Computer Technologies. Lecture Notes in Electrical Engineering, vol 711. Springer, Singapore. https://doi.org/10.1007/978-981-15-9019-1_49 (https://link.springer.com/chapter/10.1007/978-981-15-9019-1_49#citeas)
ACADEMIC PROJECTS / PUBLICATIONS
We offer solutions that raise your life above the expected
MY SKILLS
What I Do
CLOUD
Cloud environment to develop the real-time working systems. Got Experience working on AWS (Amazon Web Services) and GCS (Google Cloud Services). My work on the cloud points towards a modern architecture with microservices and serverless systems.
MACHINE LEARNING
Following the lectures of one of the most insightful persons in the field, Mr. Andrew NG, has given me a lot of intuitions about the machine learning and its applications. ML enables some of the usecases which were considered to be never possible, some of my projects will themselves stand as examples for the same.
INTERPERSONAL SKILLS
My love for meeting new people and learning from them have made me an enthusiastic active listener. This greatly adds to my team player skills as it helped me in understanding the different people’s perceptives. Understanding and acting based on everyone’s perceptive makes me a good leader and a teacher.
TESTIMONIALS
"We offer solutions that raise your life above the expected"
