Aman Tugnawat

aman.tugnawat@gmail.com | https://aman-tugnawat.github.io

Education

University of Rochester, Hajim School of Engineering & Simon Business School, NY                         Expected Dec 2018

M.S. in Computer Engineering and Business Management - T.E.A.M. program

Courses: Artificial Intelligence, Computer Architecture, Autonomous Mobile Robots, Product Development

Indian Institute of Technology (BHU), Varanasi, India                                                             Class of 2017

B.S. + M.S. in Engineering Physics

Qualified Graduate Aptitude Test in Engineering (GATE) 2016 in Computer Science National Ranking: Top 8 %

Skills And Interests

Programming languages: Java, C++, Matlab, PHP, Python, C, HTML/XML, CSS, Verilog/VHDL

Technical Experience: localization and motion planning (SLAM), Computer Vision, Convoluted Neural Network, Android, TCP/IP, IPv4 Computer Networking, RTL Design, Logic Design, Analog Devices, OpAmp, DAC/ADC, DSP

Platforms & Technologies: Robot Operating System(ROS), TensorFlow, OpenGL, GNU/Linux, Bash shell, Git, TCP/IP, LAMP stack, RESTful Api, OpenCV, Proteus, MATLAB, Android Studio, Xilinx, Processing, Arduino, CMake

Work Experience

Founder | Mango Developers | Software Development Group | Link1 Link2                                            Dec 2015 - Aug 2016

• Published 3 Android 6.0 App targeting, robotics control, IoT, and marketplace for IIT students, 2000+ downloads
• Formulated android app Androbot for communication between smartphone & embedded devices over Bluetooth
• Developed android app College Insider, a social-media platform unique authentication for user privacy
• Lead team of 4 engineers and 2 designers delegating tasks towards successful beta rollout in first 3 months
• Represented IIT-BHU in Microsoft’s Code.fun.do Hackathon among 50+ teams from all over India.

Automation Engineer Intern | Tata Motors | Pune, India                                                     June - Aug 2015

• Executed improvement efforts on an automated welding line to reduce robot downtime due to power fluctuations, and sensor failure, improvement in production efficiency
• Analyzed the root cause of repetitive failure of KUKA robots via analysis of failed variable frequency drives
• Reduced usage of welding equipment without affecting production time/quality of welds

Research Intern | Design and Innovation Hub| Nvidia & IIT(BHU), India                                             May - Aug 2014

• Designed sensor modules using Arduino, Raspberry Pi and Beaglebone Black to monitor environmental conditions and store data in bigdata servers
• Developed Android App to locate modules on Google Maps and plot raw data signals via Bluetooth. Github-link 

Project Experience and Publications

Localization, Mapping and Motion planning in Robotic OS | University of Rochester                               Jan - Mar 2018

• Implemented EKF-localization with known map/landmarks and A* search Algorithm for Motion planning in C++
• Simulated states, generated map of surrounding in OpenGL using laser range finder and RGBD data

AI to play 9 board tic-tac-toe | University of Rochester                                                                                         Sept - Oct 2017

• Designed and implemented AI program in Java that plays against human opponents
• based on iterative deepening depth-first search, Heuristics and MinMax algorithm with alpha/beta purging

Automated Reasoning and Uncertain Inference | University of Rochester                                 Oct - Nov 2017

• Wrote program for representing propositional logic sentences and draw inference using truth-table enumeration method with WalkSAT algorithm & Java program to draw inference from Bayesian net “inference by enumeration”

Machine Learning | University of Rochester                                                                                                             Nov - Dec 2017

• Created linear classifier using perceptron/logistic classifier & used backpropagation to train multi-layer neural net.

Pipelined five-stage scaler and Out of Order MIPS processor | University of Rochester                           Oct - Dec 2017

• Designed processor with Dual Rename Address Table(RAT) entries, Issue Queue and branch prediction in Verilog

Vision guided self-learning robotic arm to grasp objects | IIT(BHU), Varanasi, India                                      May - Aug 2016

• Implemented self-learning robotic arm based on optical flow tracking algorithm using Kinect v1 - OpenKinect SDK.

Co-authored paper | Journal of Biological Engineering Research and Review | IIT(BHU), Varanasi, India            Oct. 2014

• Paper on designing portable and low-cost ECG Signal Acquisition System. Link 

Additional Activities

University of Rochester, NY - Feb. 2018 1st prize winner - UR NextGen Challenge a Think-Tank Competition

Indian Institute of Technology (BHU), Varanasi, India, Session 2014-15 Secretary of the Robotics and Microprocessor lab

Hobbies:

Movies, Technology, Volunteering, Music, Travelling/Backpacking, Trying new things, Meeting new people, Philosophy.