Sunil Prakash

Machine Learning Engineer

Machine Learning Engineer on a quest of solving real-world problems. Skilled in Computer Science, Robotics & Artificial Intelligence, Autonomous Cars, Python, Java, and R. Strong academic and industry background with a Master’s degree focused in Artificial Intelligence and Data Science from the National University of Singapore.

Languages: R, Python, Scala, Java, Matlab, C/C++

Toolbelt : Computer Vision, NLP, IoT, Big Data, Web Development, Localization, Control and Path Planning

Interests

Artificial Intelligence
Computer Vision
Machine Learning
Data Science

Education

MTech in Enterprise Business Analytics, 2017-18

National University of Singapore
Self Driving Car Nanodegree, 2017

Udacity
BE. in Computer Science, 2007

RGPV, Bhopal

Recent Posts

Intro To Tensorflow

Thu, Aug 3, 2017

TensorFlow - A fast Introduction https://www.tensorflow.org An open source library for numerical computation using data flow graphs Okay, so what is it? Hmm, In short, it’s a wonderful library provided by google for general purpose Machine Learning problems, specially with deep learning. Problems could be a Visual Recognition, Machine Translation , Natural Language Processing (NLP) or even simple linear regression. By the way, it have made the researchers/ developers life easy by providing tons of pre-defined packages or high level utility programs , like tensorboard.

Stock Prediction with R

Tue, Jul 18, 2017

A data file contains daily values of the Straits Times Index (STI) from 1 Jan’04 to 31 Dec’13 . The fields are: – Date – Opening Price – Closing Price – Adjusted Close (similar to above but after minor accounting changes) – Highest value during the day – Lowest value during the day – Volume (total amount of traded stocks during the day) Goal: The goal is to predict the short term STI trend with sufficient accuracy for profitable use in a (simplified) trading scenario

Welcome

Sat, Jul 1, 2017

Welcome to the world. Its 2017 now.

Projects

Human Activity Recognition

Making sense of data from modality sensors for robust human action recognition. Then develop an algorithm that would classify the different activities into categories using either data from single sensor or from fusion of multiple sensors.

Sign Language Recognition

Word recognizer for American Sign Language video sequences, utilizing the probabalistic models

Contact

sunil@sunilprakash.com
sunil-prakash
Singapore