Riddhi Dubey
@riddhidubey
Aspiring machine learning engineer building Flask-based AI systems and data analytics solutions with Python, OpenCV, and scikit-learn.
What I'm looking for
I’m an aspiring machine learning engineer pursuing a B.Tech in Computer Science Engineering, and I build AI-driven, web-based products using Python and modern ML tooling. Through projects like GauMitra and MediAI, I’ve developed end-to-end ML pipelines (data processing, model training, and real-time prediction) and deployed them with Flask for practical use.
I also enjoy solving real-world problems with secure, user-focused applications, as shown in my Women Bus Reservation System using Flask and MySQL. I’m especially motivated by Explainable AI and Ethical AI, and I aim to work on production-ready ML systems while continuing to grow through certifications and collaborative teamwork.
Experience
Work history, roles, and key accomplishments
Graphic Design Intern
InAmigos Foundation
Apr 2025 - Present (1 year 2 months)
Delivered digital campaign assets under tight deadlines while maintaining brand consistency. Collaborated with team members to meet project requirements and ensure timely completion.
Education
Degrees, certifications, and relevant coursework
Vidya Jyothi Institute of Technology
Bachelor of Technology, Computer Science Engineering
2023 - 2027
Grade: CGPA: 7.32
Activities and societies: Projects include GauMitra (cattle breed recognition), Women Bus Reservation System (Flask/MySQL), and MediAI (disease prediction) using ML and computer vision.
Pursuing a Bachelor of Technology in Computer Science Engineering at Vidya Jyothi Institute of Technology. Working on machine learning and web-based projects using Python, Flask, and related ML libraries.
Sri Chaitanya Junior College
Intermediate, Mathematics, Physics and Commerce (MPC)
2021 - 2023
Grade: Percentage: 70.3%
Completed Intermediate studies in the MPC stream at Sri Chaitanya Junior College.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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