Carnegie Mellon University
M.S. in Machine Learning
Incoming Fall 2026
School of Computer Science
Saee Patil
Incoming MSML Student at Carnegie Mellon University
I am a machine learning researcher and recent Computer Science graduate from UC Davis, joining Carnegie Mellon's M.S. in Machine Learning program. I am interested in how learning systems reason, adapt, and behave in settings where reliability matters. My work combines research with applied engineering, from developing evaluation methods and studying model robustness to building reproducible tools that make experimental results easier to understand and use.
Research focus
- Reinforcement learning and decision-making
- Model evaluation, reasoning, and robustness
- Trustworthy and interpretable machine learning
- Computer vision and multimodal systems
Education
University of California, Davis
B.S. in Computer Science
2022 - 2026
Cumulative GPA: 3.90
Research & Publications
- NeurIPS 2026Submitted
BRIDGE: A Bias Register-Integrated Dataset for Generalized Evaluation of LLM Bias Detection
Patil S., et al.
- EMNLP 2026Submitted
LLM Capability Is Not a Scalar: Measuring the Shape of Reasoning-Model Behavior with Path Consistency and Sampling Fingerprints
Bonagiri A., Ogus C., Xayasak V., Patil S., et al.
Experience
June 2026 - Present
Lawrence Livermore National Laboratory
Machine Learning Graduate Intern
Building a multi-agent system for CAD-based 3D simulations, combining GEPA prompt optimization, reinforcement learning, DSPy, and Pydantic AI to support slow-learning control and finite element analysis workflows.
RL · GEPA · DSPy · Pydantic AI
August 2025 - May 2026
Keysight Technologies
Software Engineer (Part-Time)
Fine-tuned CodeLLaMA with QLoRA to automate pytest generation, increasing edge-case coverage by 25-35%, and helped build AWS-hosted test automation for the MARS application, reducing manual test time by 40%.
AWS · Django · MySQL · PyTest · Eggplant · PyTorch · QLoRA
June 2025 - August 2025
Keysight Technologies
Software Engineer Intern (ML & Automation)
Worked on model-assisted automation tooling and internal QA workflows, contributing to the ML pipeline that supported pytest generation and AWS-integrated test automation.
Python · TypeScript · Automation · PyTorch
October 2024 - June 2026
Google Student Developer Club - UC Davis
Tech Director / Software Developer
Led and mentored the technical development track for beginner projects, guided students through system design, web development, ML architectures, and coding issues, and helped build a full-stack portal and backend for TerraAI.
React · MongoDB · Tailwind · Agile
April 2025 - June 2026
PRISM Research Lab - UC Davis
AI/ML Student Researcher
Developed STABLEVAL, a disagreement-aware evaluation framework that models annotator reliability, confusion patterns, and latent item correctness to produce uncertainty-aware scores and more stable AI rankings. Also built a GRPO-driven math reasoning corpus for downstream fine-tuning and benchmarking.
PyTorch · GRPO · Evaluation · Reasoning
April 2025 - January 2026
Davis Automated Reasoning Group - UC Davis
ML Student Researcher
Designed IMPRoViT, a targeted repair strategy for Vision Transformers under adverse-weather distribution shifts, using Captum conductance and top-k Gurobi optimization to identify and repair the pathways causing misclassification.
Captum · ViT · Gurobi · PyTorch
Personal Projects
Pedestrian Intent Classification for AV Systems
Built and evaluated an LSTM sequence model for pedestrian behavior prediction using the JAAD video dataset and YOLOv8, reaching 93% recall on a safety-critical future-intent task.
PyTorch · Scikit-Learn · YOLOv8 · OpenCV
Multi-Label News Categorization using BERT
Built a web-scraping and NLP pipeline with BeautifulSoup and Hugging Face, then fine-tuned BERT-base-uncased for multi-label article classification.
BERT · BeautifulSoup · Hugging Face · PyTorch
Breast Tumor Classification
Compared random forests and neural networks for binary breast-tumor classification, documented the full evaluation, and deployed the best-performing model through a Flask interface.
Scikit-Learn · Neural Networks · Flask · Python
HeartHaven
Trained a regression model on heart-disease risk factors and integrated it into a full-stack platform that provides personalized risk predictions and feedback.
Machine Learning · Flask · Python · Full-Stack Development
Con-nect
Built a social-good mobile application that connects returning citizens with professional and educational opportunities, including an LLM-powered interview practice chatbot.
Angular · Ionic · Firebase · OpenAI API