Arjun Surendran

University of Southern California

Research Assistant • Mar 2018 — Present

• Modified Database Schema for decreasing running time of Queries.
• Coded script in Python to scrape data from websites using Bing API, and API to access data stored in AWS in DynamoDB
• Researched and programmed methods for Natural Language Processing such as Text Cleaning, Relevant Content Extraction, Chunking, Tagging and Named Entity Recognition on data scraped using Python.
• Deployed functions in AWS for Data Collection and Processing
• Designed and deployed functions to collect training data using Amazon Mechanical Turk

Indian Railway

Senior Section Engineer • Oct 2015 — Oct 2017

• Analyzed Energy Consumption Data and devised action plans resulting in saving 1.1 million Rupees in electricity cost.
• Designed and maintained the database to store the PTO register of employees in company.
• Coordinated certification processes for quality management, environmental safety management, occupational safety management and energy management within the company

Indian Rare Earths Limited

Graduate Apprentice Trainee (Electrical) • Dec 2014 — Oct 2015

• Assisted the engineer to co-ordinate with electrical contractor for electrification, execution and commissioning, and material management (spare parts).
• Planned and implemented preventive maintenance schedules of various machinery and instruments to decrease the down-time and ensure optimum equipment reliability
• Designed control circuits for starting and operating electric motors as per requirement

University of Southern California, Los Angeles,CA, USA

Master of Science, Electrical Engineering • 2018 — 2019

Focus Area - Machine Learning & Image Processing. GPA - 3.66/4.00

Mahatma Gandhi University, Kerala, India

Bachelor of Technology, Electrical and Electronics Engineering • 2010 — 2014

First Class with Honors

Graduated with 8.33 CGPA with recognition for Best Seminar Presentation.

Walking Half-Cheetah using Augmented Random Search

Primary Developer •

Taught Half-Cheetah to walk on its own using Augmented Random Search Algorithm implemented in numpy.

Image Generation using Generative Adverserial Network

Primary Developer •

Generative Adverserial Network implemented in TensorFlow using Improved Wasserstein Algorithm. Trained on MNIST dataset for 100,000 iterations.

Denoising of Documents using Image Painting with Deep Neural Network

Primary Developer •

Deep Neural Network is used to remove noise from images. The NN is implemented using TensorFlow and the dataset is obtained from Kaggle.

Web View Forecasting using Recurrent Neural Networks

Primary Developer •

Implemented RNN in Python using Keras library

Finding Duplicates in Text using NLTK and Gradient Boosting

Primary Developer •

Used methods in NLTK for cleaning the text. Prediction is made using Gradient Boosting Classifier from sci-kit learn.

Digit Recognizer using Neural Network.

Primary Developer •

Convolutional Neural Network was trained on 42000 inputs with an accuracy of 99.73% and tested on 28000 inputs with an accuracy of 98.5%.

Face Detection in crowd using OpenCV

Primary Developer •

Face Detection implemented in Video using Haar Cascade Classifier.

LED Lighting and Communication System

Software Developer •

A new communication system incorporating principles of Power Line Communication and Visible Light Communication for intra-building networks.

Machine Learning

TensorFlow, PyTorch, Pandas, Sci-kit Learn, Numpy, NLTK, R

Programming Languages

C, C++, Python

Web Development

HTML, CSS, Javascript, Restful APIs & Web Services

Signal Processing

MATLAB, Octave

Image Processing

PIL, OpenCV

Cloud

AWS, Azure, EC2, DynamoDB, Lambda

Database Management

SQL

Best Seminar

Mar Athanasius College of Engineering • 2014

Presented paper on Quantum Networking and Internetworking.

National Level Winner in Curious Case

IEEE Madras Section • 2012

National Level Competition for case solving conducted by IEEE Madras Section

IEEE Student Branch

Vice-Chairman • 2013 — 2014

Organised various events and participated in State level and National Level Events representing the organization.