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Ayush Kumar Shah

Graduate Research Assisstant,
Rochester Institute of Technology, New York

I am a Ph.D. student at Rochester Institute of Technology and one of the members of the MathSeer project which is a system to make finding mathematical information easier. I am conducting research under Prof. Richard Zanibbi to create innovative search engines, interfaces, and algorithms for extracting and recognizing math.

My inquisitive nature, craving for knowledge, and longing for novelty and innovation strengthen my passion to work and learn daily to increase my knowledge horizon. I am mostly into python and AI, so my blog will be a reflection of whatever new thing I learn about them. Thank you for visiting my blog.


Check out my short resume below. You can view or download the complete pdf version of my CV here: CV_AyushKumarShah.pdf


RESUME


EDUCATION


2020-Present

PhD, Computing and Information Sciences

Rochester Institute of Technology,
Rochester, New York


2015-2019

BE, Computer Engineering

Kathmandu University,
Dhulikhel, Nepal

CGPA: 3.96 / 4.0

Coursework: Machine Learning; Artificial Intelligence; Natural Language Processing; Data Structure and Algorithms; Database Management Systems; Operating Systems; Advanced Calculus and Linear Algebra; C; C++; Computer Architecture; Software Engineering; Digital Signal Processing; Embedded Systems


EMPLOYMENT


Aug 18, 2020 - Present

Graduate Research Assisstant

Rochester Institute of Technology,
Rochester, New York

One of the members of the MathSeer Project, which is a system to make finding mathematical information easier. I am conducting research under Prof. Richard Zanibbi to create innovative search engines, interfaces, and algorithms for extracting and recognizing math.


June 17, 2019 - Aug 31, 2020

Machine Learning Engineer

Fusemachines Nepal,
Aarya Tower Bhawan, Hattisar, Nepal

Working on several client-based ML projects from the US as well as internal ML projects of the company in the field of NLP, Computer vision, Recommendation systems. Worked on the whole ML pipeline: data collection, data cleaning and pre-processing, model building, tuning hyperparameters, model training, and model evaluation. Some of the projects I have worked in are:

  • Nepali Intelligent Character Recognition System
    A framework built by combining RNN and CNN to predict the handwritten or printed texts in both English and Nepali language in different fields of a form. Worked on building binary language classifiers and a complete prediction pipeline for texts in images of different types of forms.

  • Recommendation System for a subscription-based e-commerce client to increase revenue through cross-selling. Involved in data wrangling, feature extraction, model experimentation, and implementation. Techniques used: Item-to-Item models, (Neural) Collaborative Filtering, Factorization machines, etc. Increased revenue by 6% (large as we were serving 600k users).

  • Automatic classification of products on the basis of various chemical attributes to optimize business decisions for products that go unsold. Worked on Boosting algorithms like Gradient Boosting, Random Forests, XGBoost, LightGBM and so on for regression and classification tasks.

  • Involved in design, review, and refinement of content - reading material, quizzes, assignments, and projects for Fusemachines AI Education Programs - “Foundations in AI: Mathematics for AI”, “Micro Degree™ in Artificial Intelligence: Machine Learning, Computer Vision”


Jan 2020 - Present

Computer Science Instructor

Samriddhi College,
Kathmandu, Nepal

Teaching the course “Foundations in AI: Computer Science and Mathematics” offered by Fusemachines to undergraduate BSc.CSIT students.


TECHNICAL EXPERIENCE


Projects


ADDITIONAL EXPERIENCE AND CERTIFICATES:



LANGUAGES AND TECHNOLOGIES:


  • Proficient: Python, Matlab, R, Numpy, Pandas, Matplotlib, OpenCV, nltk, Keras, TensorFlow, Pytorch, git
  • Familiar With: C, C++, SQL, AWS, LaTeX