Resume

Columbia University, New York – Masters of Science in Mechanical Engineering with Specialization in Robotics and Control

• GPA: / 10.00

Birla Institute of Technology and Science, Pilani – Bachelor of Engg. (Hons.) in Mechanical Engineering

• Thesis advised by Prof. Professor Giovanni Traverso at MIT: Ingestible Micro-Robotic Capsule for Long Term Monitoring of Biomarkers
• GPA: 8.7 / 10.00
• Some Courses: Robotics, Control Systems, Neural Networks and Fuzzy Logic, Pattern Recognition, Kinematics and Dynamics of Mechanisms

Traverso Lab, Massachusetts Institute of Technology

• Worked under Professor Giovanni Traverso and Dr. Henwei Huang on a automated robotic platform for mobile contactless vital signs monitoring and an ingestible micro-robotic capsule for long term monitoring of biomarkers.
• Aimed to prevent alcohol overdoses, developed a Micro-Robotic Residential Electronics Capsule for continuous monitoring of alcohol.
• Designed the on-board sensors and overmould, which would sense alcohol intake by attaching on the gut lining for approximately a month.
• Developed an Automated Robotic Platform for Contactless Vital Signs Monitoring to minimize Covid-19 spread; measuring heart rate, skin temperature, respiratory rate, and blood oxygen saturation via employing vision algorithms and built a prototype model for the same.

Chair of Robotics and Artificial Intelligence, Technical University of Munich

• Worked under Professor Mathais Althof on the CommonRoad project , comparing motion planning algorithms for autonomous vehicles.
• Aimed to improve Motion Planning Algorithms, developed methods and algorithms to automatically create test scenarios for the motion planners, extraction and conversion of each component of the map from OpenDrive.
• Integrated additional obstacle types in Technische Universität München’s tool “Scenario Factory” environment in order to consider regulatory elements such as traffic signs, traffic lights, intersections etc.

Intelligent Digital Manufacturing Laboratory, University of Manitoba

• Worked under Professor Matt Khoshdareegi as a summer intern on 3D machine vision systems for self-adjusting welding robots.
• Aimed to build a fully automated robotic welding pipeline for augers, developed machine vision algorithms to detect a seam intersection of an Auger’s blade with the core using a line scanner in rviz and developed a ROS architecture for it’s autonomous welding.
• Implemented a motion planner for the robotic arm KUKA; simulatenously extracting the geometry of auger using line scanner for linear motion of robotic manipulator and rotational motion of the auger along its axis.

Visual Computing Group, Harvard University

• Worked under Professor Hanspeter Pfister on 3D Volumetric Segmentation for Axon Detection and Video Instance Segmentation and Annotation for multi-scene, long-term shots.
• Aimed to improve instance segmentation mentods, developed 3D Volumetric Segmentation Algorithms to improve the expected error-free path length calculation for existing instance segmentation methods by 50% and extended the tool pytorch connectomics for an Axon Detection model and produced a benchmark dataset of that for the ground truth for mammalian brains.
• Built an Unsupervised Video Object Segmentation model using a novel Shot-aware Multi-bank Memory (SMM) module to better integrate features from previous frames to support object segmentation queries for long-term, cross-shot, multi-scene, and occluded videos from the most watched list of YouTube videos.

Central Electronics Engineering Research Institute

• Worked under Professor Solomon Raju on applications of Machine Learning for Structural Health Monitoring.
• Studied and analyzed Machine Learning algorithms and data-driven approaches to establish models for comparison with smart sensors like acoustic, strain gauges, and image processing and their use in the advancement of Structural Health Monitoring.
• Implemented and compared algorithms like Data based and Co-variance based Stochastic Subspace Identification, Artificial Neural Network and 2nd order ODE to find an alternative to NDT via the use of python.

Thynklogy Innovation & Research Centre

• Designed and Developed a Path Planning Algorithm for an aerial vehicle using ROS in rviz that maximises the rate of detecting humans in an urban search and rescue operation via employing Artificial Potential Fields and the voxblox package.
• The drone plans a path in the 3D environment that can maximise the search outcome and, at the same time, avoid all obstacles in the least possible time via a primary camera, which uses a Convolutional Neural Network to identify the structure of a human.

Bionic Arm Neural Network Programmer for Cortex Brain Computer Interface

• Led a team of 5 programmers in a $1M funded startup, building a prototype mind assisted multi-finger bio-robotic arm with an integrated Neural network for AI functionality.
• Connecting neurons to actuators so that mental impulses via EG signals which will be transferred to Artificial Neural Networks are then transferred to linear actuators forking as fingers.

Student Representative for Student-Faculty Council

• Led a 5 team body, responsible for all forms of communication, constructive ideas and suggestion of efficient teaching patterns between the Professors of the Mechanical Department and the 2018 batch of BE. Mechanical students of BITS Pilani to increase effectiveness and impact of teaching-learning.
• Designed and gave presentations and proposals to improve the teaching quality of core mechanical courses and communication between faculty and students.

Logistic Head for Department of External Affairs

• Worked as Logistics Head for a department under the BITS Pilani's Annual technical festival, APOGEE charter and worked to increase the outreach via conducting a pan India olympiad called Aarohan for the students of classes 9-12.
• Aiming to increase the footfall of APOGEE, conducted mini-festivals in universities; resulting in an increase of 50% students attending.