Hi! I am

Abhijan Wasti


Machine Learning | Eye Tracking

  • Background in imaging science and electronics and communication engineering.
  • Currently working towards a graduate degree at RIT.
  • Strong interest in the intersection of technology and art.
  • Open to internships and job offers

CV

Skills

  • Programming Languages: Python | C | C++ | MATLAB | Javascript | HTML | CSS
  • Frameworks: OpenCV | sklearn | PyTorch
  • Softwares: Blender | Pupil Core

Experience

Machine Learning and Artificial Intelligence Intern - Owl Autonomous Imaging
Jan 2022 - May 2022
  • Implemented semantic segmentation network using thermal images of off-road terrain driving data to generate traversability maps for visual odometry
  • Designed and developed an inhouse image quality measurement technique to assess and benchmark lens quality and perform focus calibration
Research Assistant - Rochester Institute of Technology
Aug 2021 - Present
My Work at RIT
  • Worked with a team on the automation of synthetic image data set generation for a semantic segmentation network and improved pipeline performance.
  • Performed data analysis and visualization of time series gaze data from a Pupil Labs eye tracker to understand human behavior
Machine Learning Intern - FuseMachines Inc.
May 2021 - Aug 2021
Sentiment Classifier
  • Reviewed and implemented techniques in exploratory data analysis and data visualization
  • Worked with libraries such as numpy, pandas and matplotlib for statistical analysis and modeling
  • Reviewed and implemented machine learning pipeline and deep learning architecture
  • Collborated with a team over git and google colab
  • Created APIs to deploy ML models with tools such as fastapi, streamit and docker
Embedded Systems Developer - Machineer Technology Pvt. Ltd.
Mar 2021 - Jul 2021
  • Designed and implemented a transformer monitoring system for the urban electricity grid
  • Developed a prototype for an autonomous artificial environment control system for solar desiccator
  • Developed a prototype for a low-cost sanitary pad dispenser
  • Developed a low-cost GPS-less technique for geolocation suitable for a business district

Education

Present
Master in Imaging Science
Rochester Institute of Technology, Rochester, NY

Fourier Methods for Imaging | Human Visual Systems | Radiometry
Advanced Eye Tracking | Image Processing and Computer Vision | Procedural Shading
2019
Bachelors in Electronics and Communication Engineering
Tribhuwan University, Kathmandu, Nepal

Image Processing and Pattern Recognition | Artificial Intelligence | Probability and Statistics | Big Data
Captsone Project: Aerial View-Based Guidance System

Projects

Halftoner and Remover
Halftoner and Remover
Python library with the implementation of Floyd-Steinberg error difussion and blue noise dithering as well as removal of halftone
Details...
Color 1.0
Color 1.0
Image editing app that creates unique edits
Deatils...
Sentiment Classifier
Sentiment Classifier
Sentiment classification webapp based on the 1-P-3-ISEAR dataset. Front end is handled by streamlit and the backend with a FastAPI service.
Details...
Space Invaders!
Space Invaders!
Implementation of the classic arcade game of SpaceInvaders.
Details...

Get In Touch

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