Anshul Garg

AI Researcher

Bengaluru, Karnataka, India13 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

Led AI and Research group at Cimpress.
Developed 20+ AI-powered services generating millions in revenue.
Authored 17 patents and 2 technical publications.

Stackforce AI infers this person is a Data Science and AI expert with a strong focus on SaaS and E-commerce solutions.

Contact

anshul_garg11@yahoo.com +919886483185 LinkedIn

Skills

Core Skills

Artificial Intelligence (ai)Product DevelopmentMachine LearningComputer VisionImage ProcessingDeep LearningData MiningAlgorithms

Other Skills

AnsibleApache KafkaApache StormBig DataBusiness AnalyticsCC++CMMICaffeComputer NetworkingData AnalysisDatabasesGenerative DesignHTMLHadoop

About

I specialize in building data science teams and creating products that utilize cutting-edge Artificial Intelligence and Machine Learning technologies. I have written 17 patents and 2 technical publications. I am deeply passionate about creating a memorable customer experience and discovering new business opportunities that can benefit my company. Currently, I lead the AI and Research group at Cimpress, where we are focused on developing the next-generation experience in Mass Customization. I have successfully converted numerous ideas into products that have generated millions of dollars in revenue for our business.

Experience

13 yrs

Total Experience

4 yrs 4 mos

Average Tenure

6 yrs 10 mos

Current Experience

Cimpress

2 roles

Distinguished Data Scientist

Promoted

Apr 2023 – Present · 3 yrs 2 mos

Generative DesignSearch Engine TechnologyLarge Language Models (LLM)Artificial Intelligence (AI)Product Development

Principal Data Scientist

Aug 2019 – Apr 2023 · 3 yrs 8 mos

As a leader, I am responsible for overseeing multiple data scientist teams that are dedicated to developing solutions for personalization and customization. Our efforts have resulted in the creation of more than 20 AI-powered services that receive between 2-3 million calls per day.
I am proud to have built several cutting-edge technologies that reduce manufacturing defects and automatically fix them using Machine Learning and Computer Vision, which have been granted patents. Additionally, I have made significant innovations in the area of automatic personalized design generation and quality evaluation.
One of our standout products is our Image Background Removal service, which I encourage you to try out at https://backgroundly.io.

Machine LearningComputer Vision

Dataweave pvt. ltd.

2 roles

Senior Data Scientist

Promoted

Apr 2018 – Aug 2019 · 1 yr 4 mos · Bengaluru, Karnataka, India

My role involved building end-to-end product pipelines and creating new business opportunities for the company. I had designed computer vision and deep-learning-based technology for image matching which can find an exact or similar match in hundreds of million images in a few milliseconds. This solution is being used for competitive intelligence to stay ahead of competitors in terms of pricing and inventory. My team and I came up with efficient algorithms for detecting counterfeit products on e-commerce websites on a massive scale. This product got highlighted at Forbes and was presented at the US patent office.

Computer VisionDeep Learning

Data Scientist

Jun 2017 – Apr 2018 · 10 mos · Bengaluru, Karnataka, India

Ricoh innovations private limited

4 roles

Research Engineer

Apr 2015 – Jun 2017 · 2 yrs 2 mos

Research Analyst

Apr 2014 – Mar 2015 · 11 mos

Associate Engineer R&D

May 2013 – May 2014 · 1 yr

Software design and development for Ricoh Visual Search. This technology detects and recognizes objects of interest in an image; see demos here:
http://www.ricoh.com/about/company/technology/tech/044.html

Research Intern

Jan 2013 – Apr 2013 · 3 mos

Worked with Ricoh Innovations research team with the aim of developing a technology that can identify and count the number of objects of interest in a given image. We have built an innovative application that can apply visual search technology on an image and get the count of all the objects of interest.

Fernuniversität hagen germany

Research Intern

Jun 2012 – Aug 2012 · 2 mos · Hagen Area, Germany

Worked on a research project on social media where we need to predict the user's behaviour based on his past actions towards his connections and based on his friend's group and current activities .