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Hello

 

I am working as a Machine Learning Engineer at Quantiphi Inc. I have graduated with a Masters' Degree in CS from the University of Massachusetts, Amherst with a specialization in Machine Learning.

 

I have around 2.5 years of experience in Machine Learning Research Domain.

 

At present, I am doing projects focused on Reinforcement Learning, Deep Learning, and Vision.

 

Please feel free to contact me via email at [sjadon@umass.edu].

 

Skills:

Machine Learning, Computer Vision,

Deep Learning, Natural Language Processing, Statistics, Optimization, Software Development.

 



Cell:

413-404-6819

 

Email: 

sjadon@umass.edu

shrutijadon812@gmail.com

 

 

Social links:

  • LinkedIn Social Icon
  • gscholar
  • github-logo-in-a-rounded-square_318-40761
  • xJGh6cXvC69an86AdrLD98

Publications

  1. Research Paper at IJCA: Publication based on Unity architecture for Military Simulator. Read More...

  2. Research Paper at IJCSIT: Publication based on Statistical Interpretation of Data of Military Simulator. Link

  3. One Shot Learning: Paper at Semantic Scholar Based on Siamese Networks for One Shot Learning using Kernel-Based Activation functions. Link

  4. Study on Capsule Networks: Paper at Semantic Scholar Based on Different Experiments on Capsule Networks to improve accuracy. Link

  5. Video Summarization: Paper at Semantic Scholar Based on Different Video Summarization Methods and their Comparison. Link

 

 

Achievements

Research work on "Learning using Kernel Functions" selected for presentation at WiML Workshop hosted at NeurIPS'18.                                            

Grace Hopper Scholar 2017                                               

Speaker at Grace Hopper.                                         

Army Welfare Scholar for Consecutively 5 Years.

RECENT PROJECT

 

Study about Methodologies that exists, for creating upper and lower bounds on different statistical measures (Mean, Variance etc) of unknown sampled Data. We aim to come up with an algorithm to improve bounds obtained by Chernoff-hoeffding. Learn More

Experimentation with Capsule Networks. A recent paper by Geoffrey E. Hinton has challenged Conventional Neural Networks Architecture for Image Classification. Read More

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