
ayaan User
@ayaanuser2
AI/ML engineer at NIT Warangal who developed an IoT crop disease prediction system with 90% accuracy.
What I'm looking for
At NationalInstituteofTechnology, Warangal, I designed an AIoT-based agricultural system integrating ESP32, Firebase, and Flask for real-time crop disease prediction, achieving 90% accuracy. I also deployed a RandomForest model through a Flask API for instant predictions.
I developed a ReactJS dashboard to visualize sensor data in real time, reducing manual diagnosis time by 60%. I’m seeking an opportunity to apply my hands-on experience in machine learning, IoT systems, and real-time data pipelines to contribute to impactful AI solutions.
Experience
Work history, roles, and key accomplishments
Summer Intern (AIoT & Machine Learning)
National Institute of Technology, Warangal
Jun 2025 - Jul 2025 (1 month)
Designed an AIoT-based agricultural system integrating ESP32, Firebase, and Flask for real-time crop disease prediction with 90% accuracy. Developed a ReactJS dashboard for real-time sensor data visualization, reducing manual diagnosis time by 60%.
PACE in Classrooms (NASA Space Apps Hackathon)
NASA Space Apps Hackathon, Chandigarh University
Nov 2024 - Nov 2024 (0 months)
Created a platform to transform NASA PACE satellite data into structured, interactive educational content. Built a ReactJS module improving accessibility for students and educators.
Full Stack Development Intern
Itntrainz
Dec 2023 - Feb 2024 (2 months)
Developed responsive front-end interfaces using ReactJS, HTML, CSS, and JavaScript, improving load speed by 25%. Built and integrated RESTful APIs and implemented Firebase authentication to enhance system security.
Education
Degrees, certifications, and relevant coursework
Kakatiya Institute of Technology and Science, Warangal
Bachelor of Technology, Computer Science and Engineering (AIML)
Pursuing a Bachelor of Technology in Computer Science and Engineering with a focus on Artificial Intelligence and Machine Learning.
Sr Junior College
Intermediate, M.P.C
Grade: 86.2%
Completed intermediate education with a score of 86.2%.
St Peter Central Public School
School Education, General
2008 - 2021
Grade: 80%
Completed school education with a score of 80%.
Availability
Location
Authorized to work in
Salary expectations
Social media
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