Ruman Khan
@rumankhan
I build AI-powered prediction systems, NLP chatbots, and full-stack web applications.
IndiaWhat I'm looking for
I've built machine learning solutions for plant disease and liver disease prediction, including interactive web interfaces that deliver real-time results.
During my Infosys Springboard internship, I trained a CNN model to classify plant diseases from images and deployed a user-friendly application for interacting with its predictions. I also developed a multilingual mental health chatbot using NLP, sentiment analysis, and AI agents for therapist, emotional support, and translation functions.
As a Product Engineering Intern at Mathco, I developed end-to-end features for a full-stack application using React and FastAPI. I deployed and maintained the application on Microsoft Azure, integrated RESTful APIs, managed backend services, and performed testing and debugging.
I'm pursuing a Computer Science degree specialized in AI-ML and bring skills in Python, SQL, machine learning, web development, problem-solving, and community building.
Experience
Work history, roles, and key accomplishments
Product Engineering Intern
Mathco
Feb 2026 - Jul 2026 (5 months)
Developed a full-stack web application using React and FastAPI, implementing end-to-end features and collaborating with the team throughout the development lifecycle. Deployed and maintained the application on Microsoft Azure, integrating RESTful APIs, managing backend services, and performing testing and debugging.
Internship
Infosys Springboard
Oct 2024 - Jan 2025 (3 months)
Developed a Plant Disease Prediction system using Convolutional Neural Networks (CNN) to accurately classify plant diseases from images. Designed and deployed a user-friendly web application to demonstrate and interact with the model's predictions.
Education
Degrees, certifications, and relevant coursework
Chandigarh University
Bachelor of Engineering, Computer Science
2022 -
Grade: CGPA: 7.67
Pursuing a Bachelor of Engineering in Computer Science with a specialization in AI and ML in collaboration with IBM.
Krishnaveni Junior College
Intermediate, Non-Medical (MPC)
2020 - 2022
Grade: 93.0%
Completed Intermediate (TSBIE) with a focus on Non-Medical (MPC) and achieved a percentage of 93.0%.
Triveni School
Matriculation, General
2019 - 2020
Grade: 95.0%
Completed Matriculation (SSC) with a percentage of 95.0%.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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