About
I am a third-year Ph.D. student in the Computer Science Dept. at Baylor University. I am broadly interested in different areas of Machine Learning and Computer Vision. My current research is mostly in the area of Video recognition and self-supervised representation learning, active learning to reduce annotation requirement in Machine Learning datasets. A lot of my research is applied on recognition of underwater species.
Resume
Summary
Shaif Chowdhury
Waco, TX
- Git: shaif95
- Ph No: +1 5854069028
- Email: shaif_chowdhury1@baylor.edu
Education
PHD Computer Science & In Progress
2020 - 2025
Baylor University
Research on Computer Vision and Deep learning
Bachelor Information technology & IT
2013 - 2017
Institute of Engineering and Management , in Kolkata, India
Publication
Recognition of Aquatic Invasive Species Larvae Using Autoencoder-based Feature Averaging
International Symposium on Visual Computing
S Chowdhury, G Hamerly
Video-Based Recognition of Aquatic Invasive Species Larvae Using Attention-LSTM Transformer
International Symposium on Visual Computing
S Chowdhury, SN Tisha, ME McGarrity, G Hamerly
Active Learning Strategy Using Contrastive Learning and K-Means for Aquatic Invasive Species Recognition
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision
S Chowdhury, G Hamerly, M McGarrity
Vehicle detection and counting using haar feature-based classifier
2017 8th annual industrial automation and electromechanical engineering conference (IEMECON)
S Chowdhury, SP Chattopadhyay, TK Hazra
Professional Experience
— Research Assistant, Baylor University
2020 - Present
Waco, TX
- Video based Recognition of Aquatic Invasive Species.
- Recognition of Zooplanktions.
- Worked on Cloud Service to manage Deep Learning models using Flask and AWS Sagemaker.
- Gene Weaver: Worked on a Python Flask based project.
Tweetsy.io SaaS
2021 - 2022
USA
- Product Development: Twitter Oath, Popular Tweet searching, AI based Paraphrasing and Tweet Scheduling.
- Software Development: Used Spring Boot with AWS EC2, Pytorch, AWS Sagemaker, MongoDB.
AI Camp
May 2023 - Sep 2023
USA
- Instructor for Several Machine Learning courses at AI Camp.
- LLM-Augmentation : Improved truthfulness of response from Large Language Model (GPT) using Augmentation technique with LangChain and OpenAI API.
- NoteAI : A note taking App. Created a fine tuned model on Flan-T5 (HuggingFace).