Prateek Kumar Goel

Education

• University of Florida

  MS, Computer Science (2021-2023) Software Engineering, Advanced Data Structures, Algorithms, Distributed Systems, Machine Learning, Engineering Project Management

• BML Munjal University

  BTech, Computer Science (2014-2018) Artificial Intelligence, Computer Networks, Internet of Things, Computer Architecture, Mobile Application Development

Skills

Languages

• HTML/CSS
• JavaScript
• React.js
• Node.js
• GitHub
• MongoDB
• VS Code

• Machine Learning Reseacher

  University of Florida (Jul 23 - Present)

  • ● Achieved a 15% reduction in resource utilization costs through custom transformer architecture, integrating autoregression for precise adaptation to seasonal time series data using PyTorch.
  • ● Accomplished 12% improvement in stitching accuracy while automating multispectral drone imagery conversion into high quality actionable geospatial data for AI-driven Precision Agriculture.
  • ● Attained 98% accuracy in overall data quality by implementing a streamlined workflow for stitching, projection, georeferencing, labeling and zonal statistics.
  • ● Generated 4.5+ million synthetic datasets across 10,560 scenarios using Python to enhance Agro-ML models.

• Software Engineer & Cofounder

  YVO Service Private Limited (Feb 19 - Jul 21)

  • ● Achieved seamless user experience with 100 QPS load capacity by spearheading the development of a two-wheel motor service booking system.
  • ● Attained 99.5% uptime by engineering and deploying a high-availability NodeJS REST API on Azure, using Docker, SQL and WebSocket.
  • ● Enhanced customer engagement and service accessibility by crafting a user-friendly frontend application for a motor-bike service platform, utilizing NodeJs, React, and Tailwind CSS.
  • ● Amplified transaction rates by 60% through a data-driven UX redesign, capitalizing on user interaction analytics to optimize and streamline the customer journey.
  • ● Managed and mentored a team of five engineers through numerous sprint plannings, facilitating their career advancement and skill development.

• Graduate Research Assistant

  University of Florida (Oct 22- May 23)

  • ● Performed data preprocessing for plant growth and biomass prediction using Pandas for LSTM model training.
  • ● Reduced calibration time by 150 days for DSSAT model, by optimizing Python code implementing parallelism.
  • ● Enhanced crop models for 6 farms over 8 years accurately simulating annual soil nitrogen and plant growth data.

• Teaching Assistant (C++)

  University of Florida (Aug 22- Dec 22)

  • ● Spearheaded a series of lectures on advanced programming concepts such as Lambda Functions, Design Patterns, and Debugging, effectively educating a class of 330 students.
  • ● Conducted weekly office hours and doubt sessions to reinforce core programming concepts.
  • ● Assisted in developing and grading assignments, quizzes, and exams, with feedback to support student learning.