MACHINE LEARNING • AI SYSTEMS • COMPUTATIONAL MATHEMATICS • ILLINOIS TECH

Hi, I'm Laasya Priya.

I recently graduated with a Master's in Data Science from the Illinois Institute of Technology. I build machine learning and generative AI applications that combine research, software engineering, and data-driven decision making.

My interests span AI systems, forecasting, evaluation frameworks, and intelligent software designed to solve real-world problems with reliability and clarity.

Seeking full-time roles in AI Engineering or Machine Learning and open to research collaborations.

Research Spotlight

AI Infrastructure Impact Dashboard

Interactive geospatial platform exploring the environmental and community impact of large-scale AI infrastructure and data center development across Illinois.

AI InfrastructureGeospatial AnalysisInfrastructure Mapping

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COMPLETED RESEARCH SoReMo Research Fellowship

Featured

Building Practical Skills

Featured in Illinois Tech Student & Alumni Stories

This feature highlights my journey through graduate school, research, teaching, and industry, and how those experiences shaped my approach to building practical AI systems.

University Spotlight

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Milestones & Experiences

January 2026
- Joined as a Teaching Assistant for CS 331: Data Structures & Algorithms at Illinois Institute of Technology, assisting students with algorithm design, data structures, and core problem-solving concepts.
- Awarded the SoReMo Research Fellowship at Illinois Institute of Technology to conduct research on the environmental, economic, and community-level implications of large-scale AI infrastructure and data center development.
Fall 2025
- Contributed to the QMCPy open-source library, extending the True Measure class to support dependent distributions through improvements to the SciPy wrapper integration.
- Served as a Teaching Assistant for CSP 571: Data Preparation & Analysis at Illinois Institute of Technology, supporting coursework focused on data processing, statistical analysis, and practical data science workflows.
Summer 2025
- Joined Springer Capital as an LLM Analyst Intern, working on evaluation pipelines and experimentation frameworks to analyze and improve the reliability and behavior of large language models in applied environments.

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