@devshah3
Data science researcher at the University of Maryland who built an evaluation framework for LLM agents against synthetic ground truth.
United StatesAt the University of Maryland, I built a framework that evaluates LLM agents against known ground truth from a synthetic environment. I also benchmarked a scripted baseline against PC and GES causal structure-learning algorithms.
At Nativebyte, I built and deployed Python ML pipelines behind XGBoost and regression models in a live product. In my projects, I caught data leakage in phishing-email classification and fine-tuned T5 for medical text summarization.
Work history, roles, and key accomplishments
Built a framework to evaluate LLM agents against known ground truth from a synthetic environment. Benchmarked a scripted baseline against PC and GES causal structure-learning algorithms.
Explained advanced machine-learning concepts to graduate students from mixed technical backgrounds.
Interviewed stakeholders across 12 teams and mapped manual workflows through 7 enterprise systems. Designed 14 AI automation solutions, sequenced into a 3-phase roadmap, presented to senior leadership.
Nativebyte
Dec 2024 - May 2025 (5 months)
Built and deployed end-to-end ML pipelines in Python behind XGBoost and regression models in a live product.
Developed SAP ABAP modules automating tax reporting and compliance checks, removing manual steps.
Degrees, certifications, and relevant coursework
Master of Science, Data Science
2025 -
Grade: 4.0 / 4.0
Pursuing a Master of Science in Data Science with a 4.0 GPA, focusing on machine learning, big data systems, and cloud computing.
Bachelor of Technology, Computer Science & AI
2021 - 2025
Grade: 8.78 / 10
Completed a Bachelor of Technology in Computer Science and AI with a GPA of 8.78/10, covering data structures, NLP, and generative AI.
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