Hi, I'm Aditya More
Experienced in building machine learning systems, data-driven models, and AI solutions across the full ML pipeline — from data preprocessing and model development to evaluation and deployment.
Work Authorization: Authorized to work in the United States
My Story
Career Timeline
From early foundations in computer science to building and analyzing modern AI and data science systems — my journey focuses on machine learning, data-driven solutions, and its real-world application.
Clemson UniversityM.S. Computer Science
- Developed advanced expertise in Data Science and Machine Learning.
- Completed coursework in Machine Learning, Deep Learning, Cloud Computing, Algorithm Design and Statistical Methods.
- Graduated with Master of Science in Computer Science.
Clemson University, School of ComputingGraduate Student Hourly – Data Science
- Designed and automated Jupyter-based labs and assignments for graduate-level Data Science class.
- Built nbgrader pipelines, reducing manual grading effort.
- Supported students with ML workflows, debugging, and course guidance through office hours.
AmdocsSoftware Test Engineer
- Performed end-to-end and API testing for large-scale telecom systems (AT&T).
- Designed test strategies and validation workflows for production releases.
- Collaborated across global Agile teams (US & India).
D.Y. Patil College of Engineering and TechnologyB.E. Computer Science and Engineering
- Built strong foundations in programming, data structures, algorithms, and system design.
- Graduated with Bachelor of Engineering in Computer Science.
- Led a 5-member team to develop computer vision systems for real-world applications.
Featured Work
Featured Projects
Selected projects spanning machine learning, GenAI and computer vision, focused on real-world systems and experimentation.
Personalized Movie Recommendation System
End-to-end recommendation engine processing 26M+ ratings with FunkSVD matrix factorization, achieving ~21% improvement over baseline (RMSE 0.76).
Skynet – AQI Prediction System
Built an ML pipeline to forecast Air Quality Index using NASA TEMPO, OpenAQ, weather, and traffic data with temporal and spatial pattern modeling.
R2D2 – Experimental Transformer-based LLM
Building transformer architectures from scratch to understand LLM internals — implementing tokenization, embeddings, and attention mechanisms.
What's Next
Explore More
Interested in my work? Explore my projects in depth, connect with me, or interact with my AI assistant to learn more.
AI Assistant
Chat with R2D2, my AI assistant — ask about projects, experience, and skills.