Paper Review: Sourcing from Suppliers with Financial Constraints & Performance Risk

January 2021 - May 2021

Course Project | Prof. Vipin B | Operations Management

  • Compared POF(Purchase Order Financing) & BDF(Buyer Direct Financing) to finance a supplier under constraints & risk
  • Used equations and constraints for both schemes to plot the optimal regions for Symmetric & Asymmetric cases
  • Incorporated supplier’s asset level & signalling game between manufacturer and the bank in the analysis

Comparing DNN Features With Psychological Representations

May 2020 - July 2020

SnT Summer Project — Brain and Cognitive Society, IITK

  • Won the Best Research Award amongst 35+ projects and over 400 participants in SnT Summer Camp ‘20

  • Successfully reproduced the results in the paper ‘Adapting Deep Network Features to Capture Psychological Representations’

  • Applied a Ridge Regression on the feature-by-object matrix to obtain a similarity matrix with high R2 Performance

  • Extracted Deep Network Features from 120 images using both Keras & PyTorch models of VGG-16, GoogLeNet & AlexNet

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D.R.D.O.’s SASE UAV Fleet Challenge

December 2019

Inter IIT Tech Meet 8.0, IIT Roorkee

  • Secured the 1st Position and the Gold Medal, with a perfect score of 400/400
  • Implemented a Swarm Architecture using the FKIE Multimaster framework for intra-fleet tracking of detected boxes
  • Worked with Mapping APIs (Bing Maps REST API, OpenLayers, Folium) to mark detected boxes on a map

International Micro Aerial Vehicle Competition (IMAV), 2019

September 2019 - October 2019

Madrid, Spain

  • Amongst the top 15 teams selected globally for the Outdoor Challenge
  • Developed a fleet of MAVs capable of detecting mailboxes and delivering packages into them across an area of 30,000 sq.m
  • Implemented a robust Helipad Detection and landing framework for the mission
  • Carried out rigorous Hardware-Integration testing and handled the Ground Station operations during the competition