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A YOUNG CHAP, READY TO ROCK THE WORLD

Dreaming and doing big

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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.

WORK EXPERIENCE

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WALMART GLOBAL TECH

June 2022 - Present

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AUTODESK, INC

Summer 2021

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ENSEMLE ENERGY

Jan 2020 - Jan 2021

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NATIONAL UNIVERSITY OF SINGAPORE

Summer 2019

EDUCATION

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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

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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

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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

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EFFICIENT ROUTING TABLE

A reduced subnet mask system

An Efficient Mask Reduction Strategy to
Optimize Storage and Computational
Complexity in Routing Table Lookups (IEEE Research paper)

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NETWORKING SMART SECURITY​

When you can track, why just watch

You can run but can’t escape. Smart intelligence enabled security cameras for both personal and public use. 

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ACMS - ADVANCED CARPOOLING SYSTEM

Place where miles make smiles

Smart Carpooling system, one stop solution for air pollution control and the best chance to make friends.

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AIRBORNE 

Ubiquitous Communication

A magic wand to make your own spell in the air. A new form of AI-enabled human-human interaction for seamless and comfortable communication between people and devices.​

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SMARTRACK

GPS Tracking

Low Power vehicle tracking system using ARM and serverless architecture (IEEE Research paper and demo exhibit)

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INFESTATION DETECTOR

Portable doctor for plants

Live pest and Disease Infestation detection in plants, aiding farmers to get the suitable medicine for the same.

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ASD INTENSITY LEVEL PREDICTION USING MICRO-EXPRESSIONS

Autism Level using Micro-Expression

 

Attention Residual Network for Micro-Expression Recognition using Image Analysis. A Deep Learning technique to recognize ASD intensity using their Micro-Expressions.

MY SKILLS

What I Do

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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

To quote an incident that personally impressed me of his performance was when he was able to identify the various types of motion in front of a camera just with the use of network traffic. His ability to interpret such a valuable result was a significant milestone in the research work. We had just provided him with a bunch of cameras to perform experiments and explore the IP cameras however his interpretation of a potential vulnerability in the breach of privacy was salient. 
It was indeed my pleasure working with Sundar. He was passionate about learning new things and experimenting the unprecedented.

Dr. Mohan G, Professor, National University of Singapore

Two Pens on Notebook

"We offer solutions that raise your life above the expected"

LET’S CONNECT

+1 4129839712

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