Amey Parulkar has a Master's degree in Computer Science from Texas A&M University and a Bachelor's degree in Electronics and Communication Engineering from IIIT-H, India. He has over 5 years of experience as a Software Engineer at FactSet Research Systems, where he contributes to developing financial data analytics software. His research interests include artificial intelligence, robotics, machine learning, and computer vision. He has published papers in these areas and worked on various projects applying these technologies.
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JobApplicationResume2016
1. AMEY PARULKAR
4700 E Riverside Dr Apt 1224• Austin,TX78741 • (979) 5756438 • ameyp20191@gmail.com •www.linkedin.com/in/ameyparulkar/
EDUCATION
Texas A&M University, College Station, TX GPA:3.67/4.0 Aug 2015
Master of Science in Computer Science (Thesis)
International Institute of Information Technology (IIITH), Hyderabad, India GPA:3.7/4.0 May 2012
Bachelor of Technology (with Honors) in Electronics & Communication Engineering.
Graduate Coursework: Algorithms, Machine Learning, Artificial Intelligence, Computer Architecture, Operating System,
Human Computer Interaction, Computer Vision, MultiAgent Systems, Cortical Networks.
Undergraduate Coursework: Object Oriented Programming, Data Structure, Algorithms, Computer Networks, Mobile Robotics,
Image Processing, Pattern Recognition, Signal Processing, Embedded Systems.
WORK EXPERIENCE
FactSet Research Systems, Austin, US September 2015 Current
Software Engineer
● Contributed to the development of Factset’s Portfolio Analytics Performance System. C++, Microsoft SQL Server,
AngularJS.
● Worked on building the next generation financial data analytics software that enables users to approve, reject portfolio data
based on performance metrics and record every transaction.
● Contributed to fullstack development of database, service and frontend of the performance system. Agile methodology.
● Developed backend that handles complex multistate data picture and calculations of returns from user’s portfolio
information.
Intel, Santa Clara, US June August 2015
Software Engineer Intern
● Contributed to the development of second version of Intel’s Kernel Guard Technology (IKGT) for OS protection from cyber
attacks. C, Python.
● Worked on developing support for booting iKGT with trusted boot (TXT/tboot).
● Developed a parser for IKGT log that generates log message enhancements and python script for instruction address
attribution.
Amazon.com, Seattle, US June August 2013
Software Development Engineer Intern
● Developed Caller Abuse Detection service for blocking abusive callers for Global Customer Service.
● Implemented an API that uses customer metadata to automatically block blacklisted users.
● Worked on Call Routing backend (C/C++ & Java) and User Interface frontend (Javascript, JSON).
● Engaged with Large Code Base and developed production grade code.
AGV Systems, Mumbai, India May July 2010
Embedded Systems Engineer Intern
● Designed Controller for Printed Circuit Board Testing Oven – Pressure, Temperature & Vibration Controls
● Contributed to Controller Design for LineFeeder for Lightweight Objects. Realtime system using C/C++.
International Institute of Information Technology August 2010 December 2011
Teaching Assistant
● Taught Courses: Digital Logic and Processor, Programming in C and Head TA for Embedded Systems.
● Conducted Labs: Mobile Robotics & Embedded Systems. Organized Yearly Robotics Workshop.
RESEARCH INTERESTS
Artificial Intelligence, robotics, machine learning, computer vision and cognitive science.
RESEARCH PUBLICATIONS
● Amey Parulkar and Yoonsuck Choe. “MotorBased Autonomous Grounding in a Model of the Fly Optic Flow System”.
IEEE World Congress on Computational Intelligence: Proceedings of the International Joint Conference on Neural
Networks (IJCNN), 2016. Accepted for Oral Presentation.
● Amey Parulkar. “Autonomous Grounding of the Optical Flow Detectors in a Simulated Visuomotor System of the fly using
Behaviorally Meaningful Actions”. MS Thesis 2015. Texas A&M University.
● Amey Parulkar, Piyush Shukla and K Madhava Krishna. “Fast randomized planner for SLAM automation”. In Proceedings
of the IEEE International Conference on Automation Science and Engineering (CASE), 2012.
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PROJECTS
● Amazon Hackathon (2013): Designed Efficient Resource allocation and Task Distribution algorithm for Amazon's
Fulfillment Centers. Efficient time bound delivery of orders to customers. Java, MultiAgent Systems, Algorithms,
Optimization.
● Cansat Competition (NASA,2009): Completed Design, Development, Testing cycle with Actual Flight of a minisatellite.
Sense, process & communicate Telemetry Data in Real Time. Achieved all objectives. C,C++, RealTime Embedded
System.
● Machine Learning (2013): Simulated ecological multiagent system showing symbiotic relationships – mutual, commensal
and parasitic behavior. C & Matlab, Reinforcement Learning, Neural Networks, Genetic Algorithm.
● Computer Vision (2013): Implemented a method to calibrate camera without using a calibration object. Obtained Metric
Reconstruction with high accuracy with multiview image. Matlab.
● Mobile Robotics (2012): Designed Planned Exploration of Unknown maps by robot in Simultaneous localization and
Mapping Framework. Novel computationally inexpensive Minimized uncertainty. C,C++.
● Operating System (2014): Designed a mini Operating System with a scheduler supporting multiple processes, paging and an
inhouse filesystem. C, C++, VirtualBox.
● High Performance Cache Replacement (2014): Achieved 59% improvement in cache performance over LRU, FIFO using
Static ReReference Interval Prediction (SRRIP)Hit & Frequency Priority methods. C, Simplescalar.
● Google Chrome Extension (2014): Developed an extension for Efficient Browser Tab Navigation and Revisitation. Browser
Tab VisualizationContext Based Hyperbolic tree representation. Javascript, JSON, XML, HTML.
● Factset Hackathon (2016): Developed a Smart Factset News system that filters financial news based on distribution of
holdings over in the client’s portfolio. C++, SQL, AngularJS.
LANGUAGE & TECHNOLOGY SKILLS
Languages: C, C++, Java, Matlab, JavaScript, Node.js, AngularJS, Python, Embedded C, HTML, XML, JSON, JQuery, Bash
Scripting, OpenCV, Assembly and Embedded programming, Microsoft SQL Server, Git, Octave.
Technologies: Linux, Eclipse, Visual Studio, Simplescalar, VirtualBox, ARM, 8051 & ATmega16 Microcontrollers, FPGA.
LEADERSHIP & AWARDS
Leadership: Lead IIITH Robotics TeamSeminar and Workshop on Building Robots at University of Kakinada.
Awards: Indian National Science Olympiad (Last Round), KVPYFellowship for Young Scientist Govt. of India.