~ About Me ~

  • Full Name:Rithesh Ramapura Narasimha Murthy
  • Phone:+1 858-405-6243
  • Email:rramapur@eng.ucsd.edu

Hello There!

I am Rithesh. I am pursuing Master's degree in Computer Science at University of California San Diego. My primary area of focus is in Natural Language Processing, Machine Learning and Deep Learning.

During my undergrad at R. V. College of Engineering, India I was actively involved in research projects in the field of Autonomous Traffic Signal Control, Driver-Relay problem, Intrusion detection system etc. This steered me to publish three research papers at prestigious journals and conferences. Out of which one of the papers won 'BEST PAPER' award at Fourth International Conference on Image Information Processing (IEEE) - Dec 2017.

Besides my research interests and academic life, I've spent most of my free time exploring the nuances of acting. Being an active member of the college dramatics club named ‘Circle of Acting at RV’, I have acted in 15+ plays, 3 short movies and I have represented college at State and National Level competitions.

I am currently focusing on studying the effectiveness of NLP driven solutions to the business problems such as Anomaly detection in Banking operation, Identifying Unhealthy statements in Social media, Disease prediction using patient's EMR(Electronic Medical Records) etc.

~ Work Experience & Education ~

  • Work Experience

  • Data Science Intern

    Q-Centrix - June 2019 - Aug. 2019
    • Live IRR: Built ML models to predict the answers for the questions in Cath PCI registry using Electronic Medical Records(EMRs). Achieved an Avg. F1 score of 87% across 377 questions.
    • Natural Language Processing: Built Deep Learning models to extract summary out of EMRs to answer Cath PCI registry questions. Explored state-of-the-art NLP techniques : ELMo, BERT etc. and built custom models for extractive summarization and achieved an F1-score of 67%.
    • Tools/Languages: Python, Numpy, Pandas, PyTorch and Keras

  • Software Development Intern

    CA Technologies - Jan 2018 - May 2018
    • Built models to Analyze and Monitor the Performance of AXA(App Experience and Analytics) Platform, this model facilitated the development team to analyze and to keep track of the resource utilization in AXA platform. Also, I have Implemented API Automation for Application Experience and Analytics(AXA) Platform.
    • Tools/Languages: JAVA and Kibana

  • Deep Learning Intern

    Indian Institute of Science (IISc), India - June 2017 - Aug. 2017
    • Convolution Neural Networks : Designed a Convolutional Neural Network(CNN) architecture for gender and direction classification for side-view images captured from a monitored trail. Built a CNN model which gave an accuracy of 94%. Also, Analyzed the state of the art CNN models such as VGG 16, VGG 19, AlexNet, ResNet and many more.
    • Defense Research and Development Organization (DRDO): The proposed CNN model was integrated with Infrared(IR) Sensor based Intrusion detection system and is currently being used by DRDO, India.
    • Tools/Languages: Python and Keras

  • Software Development Intern

    Gnostice Information Technologies Pvt. Ltd. - June 2016 - Aug 2016
    • Built models to Analyze and Monitor the Performance of AXA(App Experience and Analytics) Platform, this model facilitated the development team to analyze and to keep track of the resource utilization in AXA platform. Also, I have Implemented API Automation for Application Experience and Analytics(AXA) Platform.
    • Tools/Languages: JAVA and Kibana

  • Education

  • Master's Degree

    University of California San Diego - Sept. 2018 - March 2020

    MS in Computer Science with specialization in Artificial Intelligence.

  • Bachelor's Degree

    R. V. College of Engineering, India - 2014 - 2018

    Bachelor of Engineering in Computer Science.

~ Skills ~

PythonAdvanced
CAdvanced
C++Intermediate
JavaBasic
MySQLIntermediate
HTMLIntermediate
Numpy-PandasAdvanced
PyTorchIntermediate
KerasIntermediate
TensorflowIntermediate
PySparkIntermediate
VisualizationIntermediate

~ Projects ~

Designed and Implemented a LSTM(Long Short Term Memory) model for identifying Insincere Questions(-- those founded upon false premises, or that intend to make a statement rather than look for helpful answer) in quora.
Tools/Languages: Python, PyTorch and Keras.
Built Deep Learning model named Ex-Su to extract summary out of EMRs(Electronic Medical Records) to answer Cath PCI registry questions and achieved an F1-score of 67%. Explored state-of-the-art NLP techniques : ELMo, BERT etc. and built various custom models for extractive summarization
Tools/Languages: Python, Numpy, Pandas, PyTorch and Keras
Implemented Recurrent Neural Network(LSTM) based model for predicting the optimal amount of resources required for completing a GPU driven task.
Tools/Languages : Python, PyTorch, Keras
Designed and Implemented an Autonomous Traffic Signal Control System using Decision Tree to optimize the traffic flow and reduce congestion
Built a 5 layered Recurrent Neural Network(LSTM) based model for Piano Music generation.
Tools/Languages : Python, PyTorch, Keras
Purchase and Rating prediction at Amazon website.
Tools/Language : Python, sklearn, Pandas
Used Image Processing technique to continuously locate the pixel co-ordinates of the centroid of ship from a video.
Tools/Languages : Python, OpenCV
Conversion of sketch to multi-view images using conditional GAN. ----- Designed and Implemented HANGMAN game using conditional probability and Bayes' Theorem ----- Video de-noising using NLM algorithm. ----- Twitter Sentiment analysis using Bayes' Theorem.

~ Publications ~

Dec 2017

Direction and Gender Classification Using Convolutional Neural Network For Side-View Images Captured From a Monitored Trail: Fourth International Conference on Image Information Processing (IEEE), Tarun Choubisa, Mohan Kashyap, Rithesh R N, Sampad B. Mohanty - Dec. 2017

June 2018

Autonomous Traffic Signal Control Using Decision Tree: International Journal of Electrical and Computer Engineering, Rithesh R N, R Vignesh, Dr. Anala M R - June. 2018



August 2017

SVM - KNN : A Novel Approach to Classification Based on SVM and KNN: International Research Journal of Computer Science, Rithesh R N - Aug. 2017