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UNIVERSITY OF MICHIGAN

MSE IN MECHANICAL ENGINEERING:

ROBOTICS AND MECHATRONICS

CONCENTRATION, TRANSCRIPT

Current Cumulative G.P.A.: 4.00/4.00

2015-2019

INDIAN INSTITUTE OF TECHNOLOGY

GANDHINAGAR, INDIA

BACHELOR OF TECHNOLOGY IN

MECHANICAL ENGINEERING WITH

MINOR IN COMPUTER SCIENCE &

ENGINEERING, DEGREE, TRANSCRIPT

Cumulative G.P.A.: 9.04/10.00

AWARDED INSTITUTE SILVER MEDAL

COURSEWORK

INTRODUCTION TO ROBOTIC

MANIPULATION

Grade: 4.00/4.00

MATHEMATICS FOR ROBOTICS

Grade: 4.00/4.00

REINFORCEMENT LEARNING THEORY

Grade: 4.00/4.00

SELF-DRIVING CARS

MACHINE LEARNING

DEEP LEARNING

Robotics

• ROBOTICS: PERCEPTION

• ROBOTICS: AERIAL ROBOTICS

• ROBOTICS: ESTIMATION AND

LEARNING

• ROBOTICS: MOBILITY

SKILLS

PROGRAMMING

Over 5000 lines of code:

Python • Matlab • LATEX

Over 1000 lines:

Java • C++ • C • Android • HTML

Familiar:

PHP • Javascript • CSS • MySQL

TOOLS & TECHNOLOGIES

Tensorflow • PyTorch • ROS •

Arduino • Autodesk Inventor •

COMSOL • OpenSim • OpenCV •

Vicon Nexus

EXPERIENCE

2021 COHORT @ TECHLAB AT MCITY

LOCATION: TECHLAB AT MCITY, UNIVERSITY OF MICHIGAN PERIOD: DEC 2020 - ONGOING

MENTOR: DEEPEN AI

Title: BRIDGING THE GAP BETWEEN REAL-WORLD VEHICLES’ SENSOR DATA AND SIMULATED SCENARIOS.

SUMMER UNDERGRADUATE RESEARCH FELLOW

LOCATION: CENTER FOR DATA-DRIVEN DISCOVERY, CALTECH PERIOD: MAY 2018 - JULY 2018

MENTOR: DR. ASHISH MAHABAL

Title: CLASSIFICATION OF SPARSE LIGHT CURVES USING DEEP LEARNING, FINAL REPORT

SUMMER RESEARCH INTERN

LOCATION: HUMAN-CENTERED ROBOTICS LAB, IITGN, INDIA PERIOD: MAY 2017 - JULY 2017

MENTOR: PROF VINEET VASHISTA

Title: BALANCE IMPAIRMENT MEASUREMENT USING MARGIN OF STABILITY, FINAL POSTER, FINAL REPORT, CODE +

HUMAN GAIT DIFFERENTIATION USING MACHINE LEARNING, CODE PROJECTS

REPRODUCIBILITY IN DEEP LEARNING; CODE

MENTOR: DR. ASHISH MAHABAL

Description: EXPERIMENTING WITH REPRODUCIBILITY TECHNIQUES FOR INTERPRETATION OF CNN TO BE USED IN ZTF'S ALERT SYSTEM FOR PERIODIC VARIABLE CLASSIFICATION OF LIGHT CURVES

Skills used: XAI: EXPLAINABLE AI, GRAD-CAM, SALIENCY, ACTIVATION MAXIMIZATION, SHAP VALUES, CONDITIONAL GAN, TRANSFER LEARNING, INTERPRETABLE ML, COMPUTATIONAL ASTRONOMY

DEEP TRIMAP GENERATION FOR AUTOMATIC VIDEOMATTING

USING GENERATIVE ADVERSARIAL NETWORKS; CODE

MENTOR: PROF SHANMUGANATHAN RAMAN

Description: UTILIZING GANS TO PRODUCE TRIMAP OF VIDEO FRAMES NEEDED FOR EXTRACTING A HIGH QUALITY ALPHA MATTE SEPARATING FOREGROUND FROM BACKGROUND. THIS ALPHA MATTE CAN THEN BE SUPERIMPOSED ON A DIFFERENT BACKGROUND TO CREATE A NEW PLAUSIBLE VIDEO.

Skills used: PIX2PIX, CYCLEGAN, LSTM, VIDEO MATTING, TRIMAP, SHOT DETECTION, OPTICAL FLOW

RECONSTRUCTION OF TRAJECTORYWITHMISSINGMARKERS;

CODE

Description: ANALYZING NN APPROACHES TO FIND THE ONE WITH THE MOST ACCURATE RECONSTRUCTION OF MOTION CAPTURED TRAJECTORIES RECORDED WITH MISSING MARKERS IN SOFTWARES LIKE VICON NEXUS Skills used: TEMPORAL CNN, WGAN, LSTM, LATENT-ODES, ODE-RNN, MOTION-CAPTURED DATA ANALYSIS, ODE-BASED MODELS

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