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Applied Science Manager at Amazon
-----------------------------Summary(old) as on July 2016 (updates coming soon)---------------------- Currently I am working with Xerox Research Centre India (XRCI) as Research Engineer in "Machine Learning and Statistics" group. My Research interest include machine learning, natural language processing, algorithm design and analytics on health care data. I have 4 conference publications, 6 filed US patents. I have received M.Tech (masters) degree in Computer Science (IT) from International Institute Of Information Technology, Bangalore (IIITB) and B.E degree in Computer Science(CS) from Gogte Institute of information technology belgaum, karnataka. During my masters, I was associated with XRCI as a Research Intern for a period of 6 months. Prior to my masters, I have worked as systems engineer in Infosys Limited for 2 years. Conference Publications: Classification with Imbalance: A Similarity based Method for Predicting Respiratory Failure, Harsh Shrivastava, Vijay Huddar, Sakyajit Bhattacharya, and Vaibhav Rajan, 2015 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2015) , Washington, D.C, USA Predicting Postoperative Acute Respiratory Failure in Critical Care using Nursing Notes and Physiological Signals, Vijay Huddar, Vaibhav Rajan, Sakyajit Bhattacharya, Shourya Roy, 36th Annual International Conference of IEEE Engineering in Medicine and Biology Society (IEEE EMBC 2014), Chicago, USA. A Novel Classification Method for Predicting Acute Hypotensive Episodes in Critical Care, Sakyajit Bhattacharya, Vaibhav Rajan, Vijay Huddar, 5th ACM Conference on Bioinformatics, Computational Biology and Health Informatics (ACM BCB 2014), Newport Beach, USA. Patents filed: Assessing Patient Risk of an Acute Hypotensive Episode, Vaibhav Rajan, Sakyajit Bhattacharya, Vijay Huddar System and Method of Predicting Medical Complications in Critic
International Institute of Information Technology Bangalore
Master of Technology (MTech), Computer Science
January 1, 2012 – January 1, 2014
Gogte Institute of technology,Belgaum
Bachelor of Engineering (BE), Computer Science
January 1, 2006 – January 1, 2010
Amazon
Applied Science Manager
October 1, 2022 – Present
Amazon
Senior Machine Learning Scientist (Manager)
April 1, 2021 – September 1, 2022
Amazon
Machine Learning Scientist II
November 1, 2017 – April 1, 2021
Amazon
Machine Learning Scientist
July 1, 2016 – November 1, 2017
Xerox Research Centre India
Research Engineer
July 1, 2014 – July 1, 2016
Greater Bengaluru Area
Xerox Research Centre India
Research Intern
December 1, 2013 – June 1, 2014
Greater Bengaluru Area
Infosys Technologies Ltd
Software Engineer
August 1, 2010 – May 1, 2012
Language Recogniser for Indian Languages
August 1, 2013 – December 1, 2013
Identification of spoken Indian Languages. Implemented techniques such as Support Vector Machines , Gaussian Mixture Model and Hidden Markov Model to identify languages from the given speech recording. Languages classified are Hindi, Kannada, Bengali and Telugu. Programming language used :Matlab Results obtained : 1.SVM:average of 79 percent. 2.GMM:average of 85 percent. 3.HMM:average of 97 percent.
Inverse Chess (Artificial intelligence game)
January 1, 2013 – May 1, 2013
Implemented Monte Carlo Tree Search(MCTS) algorithm for the Artificial Intelligent player of Inverse Chess (similar to chess game), which improved the quality of player by 20% and reduced per move latency by 30 seconds. Language used-Java IDE used: Eclipse Juno - Presently working on implementing a Machine Learning algorithm for the AI player of Inverse Chess aspects.
Payment for Cloud Services Using BitCoins
January 1, 2013 – April 1, 2013
The project was to develop a BitCoin API based payment module and integrate it with a Web Application which will enable users to access cloud services by making payments directly in BitCoins. The project implemented IaaS (Infrastructure as a Service) on Eucalyptus Cloud and provides the client with an instance on a remote system. Language Used: Java Cloud Setup : Eucalyptus Cloud Web Application : Struts 2.0 based web application hosted on Apache Tomcat The project utilized Amazon AWS APIs to control cloud server for spawning instances as per request
Virtual File System
September 1, 2012 – December 1, 2012
This project aims at creating a virtual file system which can be mounted and unmounted as needed. The basic file and directory operations for the same are possible. This has been implemented using the data structures which depict the directory structure and keep track of free memory slots, etc. Language Used: C
Online Movie Ticketing
September 1, 2012 – December 1, 2012
Online Movie Ticketing System:- Built a prototype using the Struts2 framework and created the platform for cinema owners and customers to buy and sell tickets. Language used-Java; Framework used-Struts; IDE used: Eclipse Juno
Discounted Shortest Path
August 1, 2012 – November 1, 2012
Discounted Shortest path problem is the problem of finding an itinerary that will give maximum discounts. Suggested the heuristic approach for Discounted Shortest Path problem and showed the formal proof for its NP-Completeness.
Cultural Fit Analysis
The candidate's extensive experience in research and development roles, particularly at Amazon and Xerox Research Centre India, suggests a strong fit for an innovative and data-driven culture. The diversity of personal projects, ranging from language recognition to cloud payments and AI games, indicates intellectual curiosity and a proactive approach to learning and applying new technologies. The progression into management roles at Amazon also suggests leadership potential and an ability to work within structured organizational environments. The target role of 'Data Analyst' is well-aligned with the candidate's background in Data Analytics and Machine Learning, although their experience leans more towards advanced ML science than traditional data analysis.
Soft Skills & Operational Fit
The candidate's career progression at Amazon from Machine Learning Scientist to Applied Science Manager indicates strong leadership, problem-solving, and project management skills. The description of improving AI player quality and reducing latency in the Inverse Chess project suggests an analytical and performance-oriented mindset. However, without specific psychometric test results or interview data, a detailed assessment of soft skills and operational fit is limited.