Deeptej More

Experience

• 

  IOSD

  Feb 2020 - Jun 2022

  • My work involved mentoring the juniors, giving out software development projects and keeping track of the progress on the projects. • I primarily worked in the domains of Web development, Machine Learning, and Deep learning inside IOSD.

  • Projects Head

    May 2021 - Jun 2022

  • Local Committee Member

    Feb 2020 - May 2022
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  AeroMIT

  Jun 2020 - Jun 2022

  • Led a team of 15 multidisciplinary engineers to build autonomous multirotor UAVs. • Oversaw all aspects of UAV production from manufacturing to testing, including coordinating with manufacturing teams, reviewing and approving plans and designs, monitoring quality, analyzing test results, and managing budgets and resources. • Applied deep learning based object detection models (YOLOv3, YOLOv5), classification models (VGG16, InceptionV3), segmentation models (UNets), as well as custom architectures, to perform various autonomous tasks on the UAVs. • Implemented feature-detector algorithms such as FAST, SURF, and ORB to detect stable points on the tracked object with respect to the UAV. • During my tenure as the subsystem head, the subsystem secured a world of rank 4 in the IEEE UAV challenge.• All India Rank 1 SAE-AeroTHON.• World rank 2 SAE SAE Aero Design West 2022. Show less • Worked on various Multirotor UAV and VTOL projects. • Worked with Robot Operating System (ROS) for working with aerial robots.• Worked on making custom Convolutional Neural Networks for object detection tasks.• Worked on quadcopter dynamics and control systems.• Worked on interfacing different F4 and F7 based flight controllers and various microcontrollers like NVIDIA Jetson TX-2, Jetson Nano, Raspberry pi-3, Intel Movidius NCS with sensors and actuators.• 2nd place in India BRICS Future Skills Challenge 2020. Show less

  • Advanced Drone Research Head

    Jun 2021 - Jun 2022

  • Advanced Drone Research Member

    Jun 2020 - Jun 2021
• 

  WebX Studios

  Oct 2020 - Jul 2021

  Co-Founder

  • Webx Studios is on the mission to empower businesses for their IT needs.

• 

  Nokia Bell Labs

  Feb 2022 - Jul 2022

  Project Intern

  • Worked on writing ROS middleware for Non-ROS robots.

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  Indian School of Business

  May 2022 - Jul 2022

  Research Intern

  • Worked under the guidance of Prof. Sumeet Kumar on identifying hidden product placements in YouTube Kids videos using Few Shot Learning.• Created modular image pre-processing pipelines and implemented deep learning models such as Matching networks, Prototypical networks, MAML, and S2M2 to create benchmarks for product placement.• Achieved an accuracy of 83.67% using S2M2 on the novel product placement dataset, the highest known result to date.

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  Indian Institute of Technology, Bombay

  Aug 2022 - Jul 2023

  • Employed unsupervised learning methods (SCAN, SimCLR, Recall@k surrogate losses, Representation Learning, Style Transform) for vehicle re-identification.• Conducted Quantization Aware Training and Finetuning. The quantized models exhibited competitive performance compared to the original models, with a mAP score of 0.86, a Rank-1 accuracy of 0.91, and a Rank-5 accuracy of 0.97 .• Developed DAFOSNET, a meta-learning based framework recognizing unknown samples from novel classes in target query sets and handling visual shifts between domains, as well as identifying target outliers under domain shifts. Show less

  • Research Intern

    Jan 2023 - Jul 2023

  • External Research Collaborator

    Aug 2022 - Jan 2023
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  Northwestern University - The Feinberg School of Medicine

  Sept 2023 - now

  Research Assistant

  • Working under Prof. Lee A. Cooper on Machine Learning for histopathological data.

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  The Johns Hopkins University

  Jun 2024 - now

  Visiting Graduate Student

  • Working under Prof. Alan Yuille on Hyperbolic Deep Learning in Computer Vision at the CCVL lab.