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EXPERIENCE

EXPERIENCE

January 2023-Present

Graduate Research Assistant

Farms's Lab at K-state

  • Designed a comprehensive project for evaluating row cleaners with computer vision in precision agriculture, enhancing seeding efficiency.

  • Led a team responsible for generating and collecting controlled data, as well as annotating and labeling it.

  • Executed multiple sophisticated machine learning computer vision models for the comprehensive evaluation of row cleaners to enhance seeding efficiency in precision agriculture.

  • Applied machine learning models for corn maturation analysis.

  • Developed a data crawler to collect agricultural equipment review data.

  • Utilized transfer learning on LLM models to develop a system for transforming equipment reviews into ratings.

  • Applied topic modeling to review data for insightful analysis.

May 2021 – January 2023

Data Scientist

1Data / UC Davis

  • Developed a specialized web crawler that operates for extended periods without exhausting memory resources.

  • Designed and developed a specialized system using PySpark, NLP, and regex for automatic data extraction and curation from scientific publications, achieving 95% accuracy and processing over 60,000 publications in under 10 minutes.

  • Designed and implemented Automated Plot Extraction Graphical Data. Specialized CNN based system to automatically extract data from the graphical images and store them in database.

  • Streamlined and optimized pre-existing code for various task such as data collection, cleaning and analyzing.

  • Implemented high-performance computing systems for the lab's clustering tasks.

May 2022 – June 2022

Central for Practical Bioethics

Honorary/Volunteer

  • Assisted in designing the pilot program about AI Ethics in health care industry.

  • Developed a data layout to ensure the right questions were being asked and that all necessary data was collected for the success of the pilot program.

January 2020 – January 2021

KDD Lab

Research Assistant (AI and high-performance computing)

  • Primary Programmer for Vision team and secondary for Natural Language Processing Team.

  • Teaching Assistant for Introduction to Programming Techniques for Data Science and Analytics. (also known as Top/Intr PRG Big Data Analysis).

  • Prepared projects and homework using assignments using PySpark for the Big Data Class.

  • Develop and/or implement CNN/RCNN models for K-State Tackle Project.

  • Implemented ROS and Gazebo models.

EDUCATION

EDUCATION

January 2023 - December 2024

Master of Science in Data Analytics

Kansas State University

May 2017 - January 2021

Bachelor of Science in Computer Science

Kansas State University

Skills

Technical Skills

  •  Python

  • PyTorch 

  • PySpark 

  • TensorFlow

  • SQL

  • Tableau

  • MongoDB 

  • Kibana 

  • Cassandra

  • Experimentation Design

  • Feature Engineering

  • scikit-learn 

  • Data Cleaning and Preprocessing 

  • R 

  • Panel

  • Docker

  • Git

  • Cassandra

  • Django

  • Vue JS 

  • HTML 

  • CSS

  • C# 

  • Java 

  • Java Script,

  • Json,

Soft Skills

  • Problem-Solving

  • Critical Thinking

  • Communication

  • Collaboration

  • Leadership

  • Adaptability

  • Public Speaking,

  • Time Management

  • Creativity

  • Attention to Detail

  • Emotional Intelligence

  • Project Management

  • Presentation Skills

  • Networking

Awards

  • Best ASABE Oral/Poster Competition within the ITSC-Information Technology, Sensors & Control Systems technical community

  • The Presentation Excellence Award for outstanding presentation at the ASABE's 2024 Annual International Meeting

Certificates

  • Google Advanced Data Analytics Professional Certificate

  • Deep Learning Specialization by DeepLearning.AI.

Patent

A.P.E.G.D. (Automated Plot Extraction Graphical Data): CNN based system to automatically extract data from graphical images.   

(in process)

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