Work Experience

Computer Vision Engineer

Samsung Research Institute Bangalore

Jan 2021 - Jun 2023

company

  • Ownership of AI-based replacement of Video compression In-Loop filter achieving 10% bd-rate gain
  • Curated data using quantization range resultant artifacts based binning for model generalization
  • Researched and developed a novel training strategy to train a smaller network better than a more complex network trained without our unique training strategy
  • To further reduce the model multiply-and-accumulation operations for feasibility of deployment in devices, we innovated on selection from amongst a plurality of models when deployed in video codec along with bitstream signaling optimization
  • Filed five patents based on the aforementioned approach

DevOps Engineer

Oracle

Nov 2020 - Jan 2021

company

  • Part of the OCI Exascale team and was responsible for enhancing cloud-based Exascale services
  • Created and completely owned a FLASK-based web-service and deployment on cloud server
  • The Flask application is used for synchronous resource management on a server which enabled more efficient usage of the resource being managed by our service

Research Engineer Intern

Amazon - India Machine Learning

Jan 2020 - July 2020

company

  • Worked on Reverse Geocoding which upon receiving a set of coordinates predicts an address using Named Entity Recognition to create a custom clustering tree to generate a set of candidate addresses
  • Used beam search and reference data-based filtering we output a final predicted address. The project is currently in production in Amazon India marketplace
  • As the next project, created an Address Classifier involving responsible extraction of customer data by protecting privacy and ensuring to remove bias, towards more rich and developed areas, from the embeddings
  • Developed a multi-branch CNN architecture with the input branches mimicking n-grams. This model resulted in 6% better prediction AU-ROC than the previously used LSTM model
  • The Model is currently in production in Amazon middle- east marketplace

Research Student Trainee

Samsung Research Institute Bangalore

May 2019 - July 2019

company

  • Researched deep learning methods to produce images with enhanced legibility upon zoom leveraging a multi-focal lens array system to generate images of different zoom levels
  • Created a custom-Unet model to fuse such images and produce a single image with better zoom legibility
  • Curated the entire dataset required and performed adequate data-preprocessing as the first leg of the pipeline
  • The solution achieved 1.5 dB Peak-Signal-to-Noise-Ratio (PSNR) improvements over the baseline method

Student Trainee

MapmyIndia

May 2018 - July 2018

company

  • Developed a supervised ensemble model for missing point imputation in traffic sensor data. This data is then subsequently used for traffic prediction
  • Due to better input data to the traffic prediction model, the new solution resulted in 5% improvement in traffic prediction accuracy

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