Shaif Chowdhury

Recent Updates

• August 2024 Completed Machine Learning Internship at Dow, Midland, MI.
• August 2024 Became a reviewer for ICLR.
• June 2024 Reviewed papers for NEURIPS 2024 and WACV 2025.
• January 2024 Published paper: "Active Learning Strategy Using Contrastive Learning and K-means for Aquatic Invasive Species Recognition" at WACV24 Workshop.
• September 2023 Published paper on "Video-Based Recognition of Aquatic Invasive Species Larvae Using Attention-LSTM Transformers" at ISVC 2023.
• May 2023 Completed Data Science Internship at AI Camp, Palo Alto, CA.

Education

• PhD in Computer Science, Baylor University, TX, USA (Aug 2020 - May 2025)
  Research on Deep Learning and Computer Vision. Dissertation on “Deep Learning of Visual Features with Limited Supervision.”
• B.Tech in Information Technology, Institute of Engineering & Management, Kolkata, India (Aug 2013 - May 2017)

Experience

• Machine Learning Intern (ADISE), Dow, Midland, MI, USA (May 2024 - Aug 2024)
  Developed and implemented lane detection and quality measurement algorithms using dashcam video data.
• Data Science Intern, AI Camp, Palo Alto, CA, USA (May 2023 - Sep 2023)
  Improved quality of response from Large Language Model (GPT) using Augmentation technique with LangChain and OpenAI API.
• Graduate Research Assistant, Baylor University, Waco, TX, USA (Aug 2020 - Present)
  Worked on research grants, publications, and developed models for invasive species recognition and life stage identification.

My Schedule