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Pritom Gogoi – resume page

Bio:

I am an Instrumentation Engg. Graduate from Assam Engineering College, Guwahati. As of now, I am working on developing my skills in deep learning research and embedded development.

Mail - pritom.gogoi101@gmail.com | pritom16-392@aec.ac.in

Download resume [ full ] [ single-page ]

Social links:

Internships and Training:

IIT, Guwahati | Research Intern

Oct 2020 - Current | Guwahati, AS
I am currently working under Dr. Manas Kamal Bhuyan and Mr. H. Pallab Jyoti Dutta for developing an algorithm for hand keypoints localization based on Convolutional Pose Machines and Attention Augmented Convolutional blocks.

update:

github repo will be added soon

University of Warwick, UK | Visiting student

Feb 2020 – Mar 2020 | Coventry, Warwickshire
I received a scholarship under the Winter Overseas Fellowship program and was able to work under Dr. Layi Alatise and Dr. Jose Ortiz Gonzalez for developing a LabVIEW test setup for evaluation of the reliability of SiC Power MOSFETs.

IIIT, Guwahati | Summer Intern

Jul 2018 – Sept 2018 | Mirza, AS
Worked under the guidance of Dr. Rakesh Matam to develop an Intelligent Parking System that detects the presence of a vehicle using an array of sensors and a novel heuristic algorithm.

Publications

An UAV Assisted Multi-sensor based Smart Parking system

IEEE International Conference on Computer Communications
6-9 July 2020 | Ottawa, Canada - [view paper]

Object Detection and Tracking turret based on Cascade Classifiers and Single Shot Detectors

2020 International Conference on Computational Performance Evaluation
NEHU, Shillong, India - [view paper]

Competitions

Plant Pathology 2021 - FGVC8 | Kaggle

  • The main objective of the competition was to develop machine learning-based models to accurately classify a given leaf image from the test dataset to a particular disease category, and to identify an individual disease from multiple disease symptoms on a single leaf image.

  • completed at 62nd position (Top 10%) among 626 participating teams

Summer School

5th CVIT Summer School of AI - Attendee

Organized by IIIT Hyderabad, 1-31 August 2021 - [view site]

  • It consisted of several lectures on topics in AI/ML delivered by speakers from Deep Mind, MILA, Google Brain, FAIR, etc.

Projects

A 16-bit Hack Assembly General Purpose Computer

  • custom ALU with 16K RAM, 32K ROM

  • wrote an assembler for the CPU in python

  • part of the curriculum of the nand2tetris course

  • view project page on github

Analog Circuit-Block for designing an Artificial Neural Networks

  • designed a Gilbert's Multiplier circuit for multiplying weights and neuron inputs

  • based on the multiplier circuit designed by Barrie Gilbert, see paper

  • view project page on github

Semantic segmentation of leaves using UNet based model

  • pytorch implementation of unet model for segmentation

  • view on github

Implementation of Neural Style Transfer

  • pytorch implementation of the paper A Neural Algorithm of Artistic Style

  • view on github

Active Contributor to Open Source projects

  • contributed to over 10 FOSS projects

  • Kharagpur Winter of Code ’18 Contributor, view credential

  • Hacktoberfest ’18, ’19, ’21 Participant

Image Processing Based Object Tracking Turret

  • The proposed device was to be able to detect and track COCO objects using a CNN model. The motion of the tracking turret was controlled by PID controller.

  • view demo on youtube

Timer-Controlled Automatic Charger

  • designed a automatic charger using the ESP8266 microcontroller which was capable of controlling phone charger or any AC appliance via WiFi webserver or manual device controls.

Bitoverflow - Open Source Contribution Event

  • organized this event which is similar to Kharagpur Winter of Code or GirlScript Summer of Code where participants work on the project of their choice and make valuable contributions to open source projects.

MOOCS and Certifications

  • Build a Modern Computer from First Principles: From Nand to Tetris

  • Deep Learning Specialization | Coursera

    • Convolutional Neural Networks

    • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

    • Neural Networks and Deep Learning

  • Fundamentals Of Digital Image And Video Processing | Coursera

  • PCB Design using KiCAD | NIT-K

  • An Intuitive Introduction to Probability

  • Microprocessors And Microcontrollers | NPTEL

  • Digital Circuits | NPTEL

  • Introduction to Biostatistics | NPTEL