Dev Mehrotra

Dev Mehrotra

he/him

Short biography for the left-hand sidebar

About Me

I am Dev Mehrotra, a passionate researcher and developer specializing in machine learning, sensor development, and computational biology. Currently pursuing my Master’s degree in Computer Science at the University of Wisconsin-Madison, I have a strong foundation in both theoretical and applied aspects of computer science and data science. My work focuses on leveraging advanced machine learning techniques to solve real-world problems in agriculture, pest management, and robotics.

Contact Information

Research Focus

My research spans multiple domains, including machine learning, sensor technology, and agricultural innovation. Key highlights include:

  • Insect Eavesdropper: Developed a device capable of identifying pest sounds with 96% precision, revolutionizing pest monitoring in agriculture.
  • CRISPRi Phenotypic Analysis: Leveraged DINOv2 for latent representation learning in biological datasets, contributing to advancements in computational biology.
  • Sensor Evaluation: Conducted precision assessments of sensors like VL53L3CX and VL6180X, achieving high accuracy in real-world applications.

Education

  • University of Wisconsin-Madison, Madison, WI
    Master of Science (MS), Computer Science – GPA: 4.0
    August 2023 – May 2025

    Bachelor of Science (BS), Computer Science & Data Science – GPA: 3.72
    August 2021 – May 2023
    —

Key Achievements

  • Antlion Pitch Competition Winner: Secured first place and $5,000 for the Insect Eavesdropper project at the National Entomological Society of America Conference.
  • Wisconsin Governor’s Business Plan Contest Semi-Finalist: Advanced to the semi-final round with the Insect Eavesdropper project.
  • World AgriTech Featured Showcase: Awarded $7,200 to present the Insect Eavesdropper project.

Skills

  • Programming Languages: Python, C++, Java, R, SQL
  • Software & Tools: Kafka, Spark, Docker, Hadoop, Flask, ROS, ReactJS, Laravel PHP, MySQL
  • Machine Learning Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras, OpenCV
  • Other: Kubernetes, CI/CD, Agile, JIRA

Teaching Experience

I have supervised undergraduate students on various projects, including:

  • Machine Learning and Sensor Development
  • OpenCV and Audio/Camera Sensor Development
  • LiDAR Sensor Development and Neural Scene Reconstruction (NeRF)

Visiting Scholarships

I have collaborated with leading institutions such as:

  • Rothamsted Research, UK: Focused on integrated pest management and sensor development using machine learning.
  • Kansas State University: Worked on agricultural technology projects for pest monitoring and crop protection.
  • Missouri Soybean Extension: Conducted research on soybean pest management and sustainable agriculture.
  • California Extension: Contributed to precision agriculture projects to enhance crop monitoring and pest control techniques.