Intro

Passionate about working in Machine Learning and Deep Learning, Generative AI.Experienced in Python, Java, C++, 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 EMNLP and ICASSP. I hold a portfolio of 10 patents, including 7 A1 grade patents. I am eager to bring my passion for innovation and research to the team.

Work

Lead Engineer | MAR 2021 - PRESENT

Currently working on a computer vision challenge in Video Understanding that will benefit a wide variety of mobile applications. In charge of several sub-projects, including DNN modeling, Unsupervised Learning, Data curation, and On-device inference.

Senior Software Engineer | FEB 2019 - MAR 2021

I played a pivotal role in the "Text-Intelligence" team, where our primary goal was to enhance the mobile user experience across various use cases. Specifically targeting the Indian market, I conceptualized and implemented a multilingual texting feature to cater to the linguistic diversity prevalent in the region. Additionally, I designed and deployed a robust on-device grammatical error correction system, contributing to the seamless and improved quality of text communication. My efforts significantly elevated the usability of mobile applications, addressing specific linguistic needs and fostering a more inclusive user experience.

Software Engineer | JUL 2017 - MAR 2019

I contributed significantly to the Samsung Neural Keyboard project, where my responsibilities included language modeling and the rollout of advanced features, directly influencing billions of user interactions on a daily basis

Research Intern | JAN 2017 - JUL 2017

I worked on a machine learning algorithm that detects human activity using low-resource devices' sensors

About

Lorem ipsum dolor sit amet, consectetur et adipiscing elit. Praesent eleifend dignissim arcu, at eleifend sapien imperdiet ac. Aliquam erat volutpat. Praesent urna nisi, fringila lorem et vehicula lacinia quam. Integer sollicitudin mauris nec lorem luctus ultrices. Aliquam libero et malesuada fames ac ante ipsum primis in faucibus. Cras viverra ligula sit amet ex mollis mattis lorem ipsum dolor sit amet.

Contact

Research papers

  • 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 | IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024)

  • 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)

  • 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

  • Repetition Counting From Compressed Videos Using Sparse Residual Similarity

    Rishabh Khurana, Jayesh Vachhani, Sourabh Vasant Gothe, Pranay Kashyap | IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023)

  • 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)

Patents

  • [] System and Method for Intelligent Temporal Segments based on Class Agnostic Video Networks

  • [] System and Method for Localizing Inconsistent Motion in Video

  • [] System and Method for Video Generation based on Spatio-temporal concept relationship modelling

  • [] System and Method for Generating contextual transition based on guided denoising of flow

  • [] Method And Electronic Device For Predicting Plurality Of Multi-Modal Drawings

  • [] System and Method for Input Enrichment based on OnDevice Text Boundary Detection

  • [] System and Method for OnDevice Transcription To provide Multi-modal Input Experience

  • [] System and Method for Language Detection based Multilingual Experience

  • [] Word Variant Disambiguation for Romanized Abugida Scripts

  • [] Ambiguous Input Algorithm for Texting in Native Abugida Scripts