Hi, I'm Aditya More
Graduate researcher and ML practitioner who builds end-to-end data science systems — from model development and experimentation to evaluation and deployment.
Authorized to work in the United States
Core Skills
My Story
Career Timeline
From early foundations in computer science to building modern AI and data science systems — focused on machine learning, data-driven solutions, and real-world application.
Researcher - LLM Agents and Human Behavior
- Researching the capabilities and limitations of LLM-based agents in simulating human behavior under the supervision of Dr. Long Cheng.
- Evaluating multi-agent simulation frameworks and reproducing behavioral experiments to compare AI-agent behavior with human baselines.
- Developing a taxonomy and evaluation framework for measuring behavioral realism across social and decision-making scenarios.
M.S. Computer Science
M.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.
Graduate 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.
Software Engineer
Software 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).
B.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.
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Get in Touch
Let's Connect
Open to full-time AI/ML engineering and data science roles. Feel free to reach out directly or explore my work.