sukhad anand

CTO

West Delhi, Delhi, India10 yrs 4 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Published 4 research papers in computer vision.
Participated in Google Summer of Code.
Excited about solving complex problems at Google.

Stackforce AI infers this person is a Computer Vision and Machine Learning expert with experience in Automotive and Healthcare industries.

Contact

Skills

Core Skills

Computer VisionMachine LearningHealthcare TechnologyResearch

Other Skills

Android DevelopmentCC++CMakeData StructuresDeep LearningImage ProcessingJavaKerasLinuxMicrosoft OfficeMySQLOpenCVPHPPyTorch

About

I am a software developer working at Google. During my undergraduate study, I worked on a lot of computer vision and machine learning projects. I published 4 research papers in various areas of computer vision. I can say that I travelled all the paths that an undergraduate can take during their study. I participated in Google Summer of Code in my 2nd year. I took part in a lot of hackathons around the globe. Meanwhile, I learned data structures and algorithms too which helped me land a job at Amazon. After working for 3 years at Amazon, I switched to Google. While working at Amazon for 3 years, I tried to explore my horizon and find the areas that interest me. I am extremely excited about my job at Google and looking forward to solving some amazing problems with some extremely smart people. I even started blogging my thoughts at medium : https://sukhadanand.medium.com I also came across the concept of financial independence lately and I aim to attain that stage. My twitter profile: https://twitter.com/techie0072

Experience

Google

2 roles

Technical Lead

Oct 2024 – Present · 1 yr 6 mos · India

Software Engineer 3

Apr 2022 – Present · 4 yrs · India

Amazon

3 roles

Software Development Engineer 2

Promoted

Jul 2021 – Apr 2022 · 9 mos

Software Development Engineer

Jul 2019 – Jun 2021 · 1 yr 11 mos

Software Developer Internship

May 2018 – Jul 2018 · 2 mos · Greater Hyderabad Area

I worked with the Withholding Tax Platform team at Amazon and worked with basic amazon technologies including Amazon AWS and DynamoDB.

Beneufit

Computer Vision Developer

Jul 2018 – Oct 2018 · 3 mos

Working on Parkinson disease metric calculation using a mobile phone camera. We calculate the level of dyskinesia a person is suffering from using computer vision and machine learning techniques. We provide users a platform to predict their level of dyskinesia, before getting actually diagnosed.

Ibm

Remote Student Researcher

Jul 2018 – Sep 2018 · 2 mos · India

I worked remotely with IBM Research India and co-authored a research paper with the title: "Preserving Semantics in Deep scene transformation". The research paper is submitted for review to AAAI 2019.

Staqu technologies

Undergraduate Student Researcher

Dec 2017 – Mar 2018 · 3 mos · Gurugram, Haryana, India

Worked as an undergraduate researcher on "DIVERSITY IN FASHION RECOMMENDATION USING SEMANTIC PARSING". The research paper has been published in International Conference on Image Processing. In this paper, we propose to recommend images by explicitly learning and exploiting part based similarity. We propose a novel approach of learning discriminative features from weakly-supervised data by using visual attention over the parts and a texture encoding network.

Google

Computer vision developer(OpenCV),Google summer of code

May 2017 – Aug 2017 · 3 mos · Greater Delhi Area

Worked on Face alignment. I implemented the research paper "One millisecond face alignment using regression trees" for OpenCV library to make it availale for use by everyone. The project is completed and currently in use by the open source community.

Indraprastha institute of information technology, delhi

Researcher

Oct 2016 – Jun 2019 · 2 yrs 8 mos · Greater Delhi Area

Working Under Dr. Chetan Arora at CVML lab. Worked on various image processing and deep learning research projects.
Some of the highlights were:
1. Real-time pothole detection on roads using a monocular camera. The project was done for Continental and was extended as a research project.
2. Diversity in fashion recommendation using semantic parsing. The research paper has been published in International Conference on image processing.
I am currently working on Article segmentation in newspapers using deep learning.