About

Ayushi Photo

Focused and enthusiastic developer with a keen interest in researching in the areas of Machine Learning, Computer Vision and in the broad sense, the domains of Artificial Intelligence and Distributed Systems. By comprehensive exposure to the underlying concepts and applying them vividly to various projects, my love for these domains came into being. I am a passionate individual who thrives to apply the skills learnt to solve real-world problems.

  • City: Tempe, Az 85282, USA
  • Email: rajayushi0209@gmail.com

Interests

Computer Vision

Text Retrieval and Mining

Natural Language Processing

Machine Learning

Data Analytics

Human Computer Interaction

Cyber Security

Experience

LENS Lab

Mar 2024 – Present

Graduate Research Aid

  • Working on : OOD detection and mitigation of large language models.

Health Care Technology Innovation Center

Feb 2023 – May 2023

Computer Vision Intern

  • Developed: and designed fast, efficient, scalable, real time, adaptive, and high throughput point cloud-based 3D object and surface reconstruction architecture with RGB color addition and parallel processing capabilities. Using Python, PyTorch, NumPy and OpenCV.
  • Deployed: and trained the architecture on 2000+ human spine images taken by spine surgery robots to create a 3D view of human spine before surgery.
  • Optimized: Base POCO architecture improvement of results was by 2% and created 3D object had color to make it easy and more comfortable for robots.

Indian Institute of Technology Jammu

June 2022 – Aug 2022

Summer Research Intern

  • Objective: To develop an underwater object detection by background subtraction using CNN architectures and finally comparing the results incomparison to ConvNext
  • Result: Constructed and trained models and ran it on test data set. Obtained 87.8% accuracy using ConvNext which was had 1.5% more than Swin Transformers.
  • Technology used: PyTorch libraries, NumPy, Scikit Learn

Consenz Sweden

Oct 2021 – Feb 2022

Machine Learning Intern

  • Objective: Partnered with a team of 10 people for developed a chat-bot for a driver assistant system called Enzo
  • Result: Enhanced the code for driver speech and behavior detection model and managed to get 90% accuracy. Transferred the existing intends and created new intends for better customization
  • Technology used: Dialog Flow, RASA X, Pytorch

IIT Indore CSE Department

May 2016 – July 2016

Research Intern

  • Explored swarm intelligence and metaheuristic algorithms to develop and implement an algorithm for energy-efficient routing of temperature data from sensory motes in WSNs.

Projects

  • All
  • Research / Coursework
  • Extra-curricular

Intelligent Bookmarker


AutoCar Image Enhancement


Image Dehazing


Social Distancing Checker


Pixel Mitigation


Memtal Illness Diagnostic

Fuzzy Logic based Light Intensity Controller

Trafic Control RL

DASSH -2024 Hackathon

Skills

Languages and Databases

Python Java HTML CSS JS Arduino MySQL Bash Perl

Frameworks

OpenCV Django Tensorflow Pytorch upload.wikimedia.org

Tools

vectorlogo.zone vectorlogo.zone vectorlogo.zone