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



Skills

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

Experience

Research Assistant - Rochester Institute of Technology
Aug 2021 - Present
  • Improving current eye tracking technology for better gaze estimation. Details here.
  • Completed responsibilities as a TA with a pass rate of 87%
Machine Learning Intern - FuseMachines Inc.
May 2021 - Aug 2021
  • 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
GPA: 3.79 / 4.0

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

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
Color 1.0
Color 1.0
Image editing app that creates unique edits
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.
Space Invaders!
Space Invaders!
Implementation of the classic arcade game of SpaceInvaders.

Get In Touch

My inbox is always open. Whether you have a question or just want to say hi, I’ll try my best to get back to you!