Summary
Overview
Work History
Education
Skills
Patents
Awards
Research Publications
Timeline
Generic
Sourabh Vasant Gothe

Sourabh Vasant Gothe

Bangalore

Summary

Passionate about working in Machine Learning and Deep Learning, Generative AI. Experienced in C++, Java, Python, Algorithms, Machine Learning, and Deep Learning with a solid theoretical understanding. I have completed my M. Tech in Data Science from the Indian Institute of Science (IISc) with a CGPA of 9.3. I have authored 10+ research papers published in conferences such as WACV, ICASSP, CVIP, and ICSC. Additionally, I actively participate as a reviewer for conferences like WACV, EMNLP and ICASSP. I hold a portfolio of 10+ patents, including 8 A1 grade patents. I am eager to bring my passion for innovation and research to the team.

Overview

8
8
years of professional experience

Work History

Chief Engineer, Machine Learning

SAMSUNG R&D
03.2024 - Current
  • Currently leading a research & dev project focused on Knowledge Graphs and Large Language Models related use-cases on mobile device to enhance user personalization experience
  • (July- Dec, 2024) Developed AI product for aesthetic widget placement to enable enhanced on-device user experience. I lead a team and built an end-to-end solution, including a vision model (one-stage anchor-free object detection) to identify the appropriate location to place a widget automatically.

Lead Engineer, Machine Learning

SAMSUNG R&D
03.2021 - 01.2024
  • Worked on the project of Generic Temporal Segmentation problem, that caters many use-cases
  • Developed a highly optimized deep learning architecture with only 3M trainable parameters22× fewer than SOTA — achieving a 13.92% accuracy improvement (ICASSP 2023).
  • Proposed a novel hybrid algorithm to generalize across diverse scenarios, published in WACV 2024.
  • Owned the end-to-end product lifecycle including DNN modeling, unsupervised learning, data curation, and on-device inference optimization.
  • Successfully commercialized the solution in production for Samsung Galaxy S24, S25, and other flagship devices.

Senior Software Engineer

SAMSUNG R&D
02.2019 - 03.2021
  • Contributed to the Text Intelligence team to enhance mobile user experience through innovative NLP features.
  • Developed and deployed a multilingual texting feature tailored for the Indian market, including language detection, code-switching, and macaronic language modeling (top 5 Indian languages)
  • Built a complete on-device grammatical error correction system, optimized for mobile devices (ICSC 2021).
  • Developed Language Detection (Patent granted, ICSC 2020)and a Lightweight Language Model (ICSC 2019)
  • Designed an Emoji Drawing Detection system (Patent granted) for edge devices like wearables; developed an end-to-end native (C++) neural inference engine for CNN-based models (CVIP 2022)
  • Successfully commercialized native inference engine and NLP features in Samsung Neural Keyboard across Galaxy flagship devices

Software Engineer

SAMSUNG R&D
07.2017 - 03.2019
  • Evaluated multiple language model engines (e.g., PhillIT, XT9, Gboard, SwiftKey) for next-word prediction and auto-correction to assess quality and UX impact.
  • Developed an Android-based evaluation framework to automatically benchmark models on large-scale text corpora.
  • Gained hands-on experience with advanced data structures like MARISA and CEDAR TRIE for efficient user language modeling

Research Intern

SAMSUNG R&D
01.2017 - 07.2017
  • I developed a machine learning algorithm based on HMM that detects human activity using low-resource devices' sensors


Education

M.TECH - Data Science And Business Analytics

Indian Institute Of Science
07.2023

BACHELORS IN ENGINEERING - Computer and Information Sciences

PES Institute of Technology
06.2017

Skills

  • Machine Learning
  • Deep Learning
  • Computer Vision (Image/Video Understanding)
  • Natural Language Processing (LM)
  • PyTorch
  • C
  • Python
  • Java
  • Android/Kotlin
  • Innovative & Self-motivated
  • Team Work & Leadership
  • Communication

Patents

  • A1 Grade | System and Method for Intelligent Temporal Segments based on Class Agnostic Video Networks
  • A1 Grade | Method And Electronic Device For Predicting Plurality Of Multi-Modal Drawings
  • A1 Grade | System and Method for Input Enrichment based on OnDevice Text Boundary Detection
  • A1 Grade | System and Method for OnDevice Transcription To provide Multi-modal Input Experience
  • A1 Grade | System and Method for Localizing Inconsistent Motion in Video
  • A1 Grade | System and Method for Video Generation based on Spatio-temporal concept relationship modelling
  • A1 Grade | System and Method for Generating contextual transition based on guided denoising of flow
  • A1 Grade | System and Method for content-aware element interactions based on motion estimation
  • B1 Grade | Word Variant Disambiguation for Romanized Abugida Scripts
  • B1 Grade | Ambiguous Input Algorithm for Texting in Native Abugida Scripts
  • B1 Grade | System and Method for Language Detection based Multilingual Experience

Awards

  • Samsung Best Paper Awards 2024 | Bronze Award for our paper PhysID
  • Samsung Annual Award 2023 | Eminent Author of the Year
  • Samsung Excellence Award 2021, 2022, 2023 | Star of the Quarter
  • Samsung Software Competency Level, Professional, Achieved this level with a thorough understanding of advanced data structures & algorithms.

Research Publications

  • Self-Similarity Is All You Need For Fast And Light-Weight Generic Event Boundary Detection, Sourabh Vasant Gothe, Jayesh Vachhani, Rishabh Khurana, Pranay Kashyap, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023)
  • What's in the Flow? Exploiting Temporal Motion Cues for Unsupervised Generic Event Boundary Detection, Sourabh Vasant Gothe, Vibhav Agarwal, Sourav Ghosh, Jayesh Vachhani, Pranay Kashyap, Accepted in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024)
  • SAMNet: Semantic Aware Multimodal Network for Emoji Drawing Classification, Sourabh Vasant Gothe, Rishabh Khurana, Jayesh Vachhani, Rakshith S, Pranay Kashyap, Seventh International Conference on Computer Vision & Image Processing (CVIP 2022)
  • Language Detection Engine for Multilingual Texting on Mobile Devices, Sourabh Vasant Gothe, Sourav Ghosh, Sharmila Mani, Bhanodai Guggilla, Ankur Agarwal, Chandramouli Sanchi, 2020 IEEE 14th International Conference on Semantic Computing
  • An Efficient System For Grammatical Error Correction On Mobile Devices, Sourabh Vasant Gothe, Sushant Dogra, M. Chandra, Chandramouli Sanchi, Barath Raj Kandur Raja, 2021 IEEE 15th International Conference on Semantic Computing
  • Real-Time Optimized N-Gram for Mobile Devices, Sharmila Mani, Sourabh Vasant Gothe, Sourav Ghosh, A. Mishra, Prakhar Kulshreshtha, M. Bhargavi, M. Kumaran, 2019 IEEE 13th International Conference on Semantic Computing
  • EdATLAS: An Efficient Disambiguation Algorithm for Texting in Languages with Abugida Scripts, Sourav Ghosh, Sourabh Vasant Gothe, Chandramouli Sanchi, Barath Raj Kandur Raja, 2021 IEEE 15th International Conference on Semantic Computing
  • Self Similarity Matrix based CNN Filter Pruning, Rakshith S, Jayesh Vachhani, Sourabh Vasant Gothe, Rishabh Khurana, Seventh International Conference on Computer Vision & Image Processing (CVIP 2022)
  • Class Agnostic, On-Device and Privacy Preserving Repetition Counting of Actions from Videos using Similarity Bottleneck, Rishabh Khurana, Jayesh Vachhani, Sourabh Vasant Gothe, Rakshith S, Seventh International Conference on Computer Vision & Image Processing (CVIP 2022)
  • SAM-GEBD: Zero-Cost Approach for Generic Event Boundary Detection, Pranay Kashyap, Sourabh Vasant Gothe, Jayesh Vachhani, Vibhav Agarwal, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024)
  • PhysID: Physics-Based Interactive Dynamics From A Single-View Image, Sourabh Vasant Gothe, Bronze Award in Samsung Best Paper Award 2024, IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP 2025

Timeline

Chief Engineer, Machine Learning

SAMSUNG R&D
03.2024 - Current

Lead Engineer, Machine Learning

SAMSUNG R&D
03.2021 - 01.2024

Senior Software Engineer

SAMSUNG R&D
02.2019 - 03.2021

Software Engineer

SAMSUNG R&D
07.2017 - 03.2019

Research Intern

SAMSUNG R&D
01.2017 - 07.2017

M.TECH - Data Science And Business Analytics

Indian Institute Of Science

BACHELORS IN ENGINEERING - Computer and Information Sciences

PES Institute of Technology
Sourabh Vasant Gothe