Experience

 
 
 
 
 
June 2017 – June 2017
Advisor: Dr Chaithanya Bandi

Research Intern

Northwestern University

  • Performed an extensive feasibility research for a Youth Mental Health Project and developed a prototype for battery-related features (Android).
  • Also worked on OCR for a medical database documentation project. (Python,Tensorflow).
 
 
 
 
 
January 2017 – January 2017
Bangalore India

Machine Learning Intern

42Hertz

Responsibilities included:

  • Analysing
  • Modelling
  • Deploying

Recent Publications

Replacing overexposed or dull skies in outdoor photographs is a desirable photo manipulation. It is often necessary to color correct …
PDF Dataset Slides

Projects

Extractive Summarization

Implemented unsupervised summarization LexRank: methods, TextRank, Centroid Summarization and trained RNN for Seq2Seq Encoder Decoder model. (Tensorflow, Python)

Restaurant Revenue Prediction

A Machine learning model to accurately predict the annual restaurant sales implemented using an ensemble method of Random Forests, Support Vector Regression and Ridge Regression. (Python)

SafetyFirst : Drowsy Driver Detection

Automated alert system that employs Haar Feature-based cascade classifiers for face detection, extracts and tracks the facial components in live webcam feeds to detect a snoozing driver. (OpenCV, Python).

Semantic Aware Colour Transfer

Implementation of Tsai. et al, SIGGHRAPH16, model generates images with stylized skies by exploting visual semantics for sky editing and scene parsing. (Caffe, Matlab)

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Contact

  • 4122, A.V Williams, University of Maryland, College Park, 20740, MD, USA