Neel Patel

About Neel Patel

Hi, I\'m Neel Patel! Bridging the gap between complex data and actionable insights with each line of code. Excited about AI and deep learning? Let’s make a connection! My tech career began at Tata Consultancy Services in India, where I led several initiatives to improve agricultural operations and efficiency using AWS and computer vision technologies. Now, continuing my passion for tech at UMBC, I focus on creating models that predict ecological changes with high accuracy and develop scalable AI solutions for real-world application. Skilled in Python and various AI technologies, I am currently sharpening my expertise in computer vision and deep learning, aiming to drive forward the capabilities of remote sensing and environmental monitoring. My work is about precision, innovation, and making technology work smarter for us. Looking to discuss AI innovations or collaborative projects? Reach out, and let\'s explore how we can drive technological advancement together!

Experience

1. Developer at Tcs Digital Farming Initiative

   Tata Consultancy Services

   Feb 2022 — Present · Gandhinagar, IN

   Cloud Native Processing and Publishing of Satellite Data for Scalable Agriculture Applicationo Developed Ageye Data Publish Pipeline (AgeyeDPP), a pioneering solution tailored for agriculture, focusing on geo-spatial use-cases to comprehensively analyze diverse phenological aspects and abiotic & biotic conditions affecting crops.o The entire pipeline was meticulously crafted on AWS, ensuring swift deployment of high-precision use cases. This seamless end-to-end CI/CD pipeline seamlessly bridged the gap between research and engineering, facilitating tasks ranging from data downloading to data visualization with utmost efficiency.Real-time plant health detection using AWS.o Implemented real time leave disease detection using computer vision techniques and Amazon Rekognition Custom Labels.o Custom Labels model was trained and tested on 10K images and 37 different classes of plants and diseases. o Showcased at the TCS Digital Farming booths during the Indian Mobile Congress (IMC) 2022 in Delhi, India, our POC\'s served as an exemplary use case for the revolutionary 5G paradigm.Cattle Identification Using Muzzle Print Based Technique.o Developed an algorithm for recognition of Bovine animals based on Muzzle print images.o Utilized image processing method like SIFT, LBP, and BF matcher to extract local invariant features from muzzle print images. Our primary aim is to achieve distinct identification between two cattle by analyzing their muzzle images. o Implemented Minutiae-based Muzzle print identification algorithm and Singularity detection to reduce search space between muzzle print images. Recruited employees for full-time positions at TCS research lab, encompassing internships, entry-level roles, and senior positions.

Education

• University of Maryland Baltimore County

  Master of Science - MS, Computer Science

• University of Maryland Baltimore County

  Master's degree, Computer Science

• Ahmedabad Institute Of Technology Gota, Ahmedabad (SFI)

  Bachelor of Technology, Computer Engineering

  2016 — 2020