Ujjawal Soni profile photo 1 on Tal

Ujjawal Soni

Data Science Lead @ CRED | Ex - Samsung Research | IIT Madras

Greater Bengaluru Area

9+ years of work experience

CRED
Aug 20215 yrs 2 mosPresent

Bengaluru, Karnataka, India

SAMSUNG R&D INSTITUTE INDIA - BANGALORE PRIVATE LIMITED
Mar 20201 yr 5 mosJul 2021

Bengaluru, Karnataka, India

As a member of the Visual Understanding team: - Designed, trained, and deployed efficient deep neural network architecture for object detection in images. Developed solution detects more than 500 diverse object categories and runs completely on-device in real-time as part of the AI Gallery photo search engine in the Samsung S21 series. - Worked on challenging video understanding problems for upcoming flagship smartphones.
SAMSUNG R&D INSTITUTE INDIA - BANGALORE PRIVATE LIMITED
Jul 20181 yr 9 mosMar 2020

Bengaluru, Karnataka, India

As a member of the Visual Understanding team: - Designed and trained resource (memory and FLOPs) efficient deep learning solutions for human-object, human-human, and pet-object interaction detection in images. - Developed solution was commercialized for on-device AI Gallery Search in the flagship Samsung S21 smartphone series. - Trained deep neural networks in Caffe for real-time and on-device instance segmentation in images. Developed solution was first commercialized in Samsung S10 series.
Indian Institute of Technology, Madras
Jan 20185 mosMay 2018

Chennai Area, India

Teaching Assistant for Object Oriented Algorithms Implementation & Analysis course at IIT Madras.
Indian Institute of Technology, Madras
Aug 20175 mosDec 2017

Greater Chennai Area

Teaching Assistant for Principles of Machine Learning course at IIT Madras.
Adobe
May 20163 mosJul 2016

Bengaluru, Karnataka, India

- Introduced the notion of fairness in recommendations in two-sided platforms, where users have two personas - consumers and creators. - Built recommendation algorithm which ensures fairness to content creators and gives representatively diverse and personalized recommendations to consumers. - Filed two US patents and published a research paper on the innovations.

Ujjawal’s AI Stack

anthropic apis
anthropic apis
claude
claude
gemini
gemini
hugging face
hugging face
langchain
langchain
Pinecone
Pinecone

Education

Indian Institute of Technology, Madras

Bachelor of Technology (B.Tech.) + Master of Technology (M. Tech.), Computer Science and Engineering

Indian Institute of Technology, Madras

20135 yrs2018

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Headline

Data Science Lead @ CRED | Ex - Samsung Research | IIT Madras

About

I am currently working in the Data Science team at CRED, primarily focusing on personalisation and recommendation. Previously, I was working as a Lead Engineer (Machine Learning) at Samsung R&D Institute Bengaluru, India. As part of the Visual Understanding team, I worked on developing efficient computer vision solutions to solve complex machine learning problems in real-time and on-device. Prior to the corporate world, I graduated from the Indian Institute of Technology Madras with B.Tech. and M.Tech. in Computer Science & Engineering.

Location

Greater Bengaluru Area

AI stack

anthropic apis

claude

gemini

hugging face

langchain

Pinecone

Work experience

Data Science Lead at CRED, Aug 2021 - Present · 5 yrs 2 mos, Bengaluru, Karnataka, India

Lead Engineer at SAMSUNG R&D INSTITUTE INDIA - BANGALORE PRIVATE LIMITED, Mar 2020 - Jul 2021 · 1 yr 5 mos, Bengaluru, Karnataka, India, As a member of the Visual Understanding team: - Designed, trained, and deployed efficient deep neural network architecture for object detection in images. Developed solution detects more than 500 diverse object categories and runs completely on-device in real-time as part of the AI Gallery photo search engine in the Samsung S21 series. - Worked on challenging video understanding problems for upcoming flagship smartphones.

Senior Software Engineer at SAMSUNG R&D INSTITUTE INDIA - BANGALORE PRIVATE LIMITED, Jul 2018 - Mar 2020 · 1 yr 9 mos, Bengaluru, Karnataka, India, As a member of the Visual Understanding team: - Designed and trained resource (memory and FLOPs) efficient deep learning solutions for human-object, human-human, and pet-object interaction detection in images. - Developed solution was commercialized for on-device AI Gallery Search in the flagship Samsung S21 smartphone series. - Trained deep neural networks in Caffe for real-time and on-device instance segmentation in images. Developed solution was first commercialized in Samsung S10 series.

Teaching Assistant at Indian Institute of Technology, Madras, Jan 2018 - May 2018 · 5 mos, Chennai Area, India, Teaching Assistant for Object Oriented Algorithms Implementation & Analysis course at IIT Madras.

Teaching Assistant at Indian Institute of Technology, Madras, Aug 2017 - Dec 2017 · 5 mos, Greater Chennai Area, Teaching Assistant for Principles of Machine Learning course at IIT Madras.

Research Intern at Adobe, May 2016 - Jul 2016 · 3 mos, Bengaluru, Karnataka, India, - Introduced the notion of fairness in recommendations in two-sided platforms, where users have two personas - consumers and creators. - Built recommendation algorithm which ensures fairness to content creators and gives representatively diverse and personalized recommendations to consumers. - Filed two US patents and published a research paper on the innovations.

Education

Bachelor of Technology (B.Tech.) + Master of Technology (M. Tech.), Computer Science and Engineering, Indian Institute of Technology, Madras