Gayatri Batta
Machine Learning Researcher @ Stony Brook University
About
I have always been driven by the way technology shifts from the core infrastructure of software engineering to the recent advances in autonomous AI. My background follows this evolution, moving from the foundation of building scalable systems to the development of intelligent, self-correcting models. I started my journey as a Cloud & Data Engineer, building scalable ML pipelines and automating infrastructure operations with Ansible. Now, as a Machine Learning Researcher, I focus on developing continuous-time models to solve complex clinical challenges. I expand my expertise through independent projects in Agentic AI and Advanced NLP. This involves orchestrating multi-agent workflows and leveraging Deep Learning techniques such as fine-tuning and quantization to adapt LLMs for complex, domain-specific reasoning. I am currently seeking full-time opportunities in Machine Learning or AI Engineering starting in May 2026. I am eager to apply my background in scalable infrastructure and specialized AI research to build impactful, real-world solutions.
United States
Stony Brook
Computer Software
Agentic AI Development, Quantization Techniques, Fine Tuning, AutoGen, AsyncIO, AST, Pylint, Regex, GPT-4, HTML, Cascading Style Sheets (CSS), AI Engineer, Azure AI Foundry, Azure AI Search, Data Scientist, Large Language Models (LLM), Artificial Intelligence (AI), Deep Learning, Flask, NumPy, Pandas, Scikit-Learn
Experience
Machine Learning Researcher
Stony Brook University
United States
• Applied Recurrent Memory Online Sparse Variational Gaussian Processes (OHSVGP) with HiPPO-based memory representations to model long-term dependencies in patient calcium index trajectories using features like historical calcium index, serum calcium, calcitriol dosage, and IV supplements. • Built a probabilistic time-series forecasting pipeline in Python (PyTorch), integrating kernel methods and regression techniques to enhance predictive accuracy and support personalized treatment planning
Graduate Research Assistant
Stony Brook Medicine
Stony Brook, New York, United States
• Analyzed sensor-based MetaGloves data using Python and data visualization frameworks to uncover patterns in hand movement and displacement, enabling insights into motor function and activity recognition. • Developed data-driven insights that support rehabilitation strategies by applying machine learning techniques, feature extraction, and time-series analysis on high-dimensional sensor signals
Cloud and Data Engineer
Trianz
Bengaluru, Karnataka, India
• Led end-to-end AWS cloud migration projects for enterprise clients (incl. GE Healthcare), achieving zero downtime and 100% on-time delivery, while reducing costs through optimized resource utilization. • Developed forecasting & analysis models (ARIMA, Pandas, NumPy, Scikit-learn) to identify workload patterns and recommend optimal instance types, boosting performance and efficiency.
Software Development and Automation Intern
Trianz
Bengaluru, Karnataka, India
• Automated critical workflows by designing and deploying Ansible playbooks, reducing manual intervention by 40% and improving operational efficiency. • Built a machine learning–based recommendation system to suggest optimal automation solutions using historical success rates, showcasing strong analytical and problem-solving skills.
Education
Stony Brook University
Artificial Intelligence
Courses: Deep Learning Algorithms and Software, Practical ML and AI, Analysis of Algorithms, Natural Language Processing, Theory of AI, Fundamentals of ML, Stochastic Systems, Network Security Engineering
Dr B R Ambedkar National Institute of Technology, Jalandhar
Computer Science
Courses: Data Structures and Algorithms, Object Oriented Programming, Introduction to Databases, Neural Network and Fuzzy Logic, Operating Systems, Computer Organization and Architecture, Relational Database Management System, Software Engineering, Data Analytics, Computer Programming
Dr B R Ambedkar National Institute of Technology, Jalandhar
Industrial and Production Engineering
Courses: Operations Research, Managerial Statistics, Engineering Economy, Production Planning and Control, Total Quality Management, Work Study and Ergonomics, Industrial Automation, Management Principles and Practices
Gayatri Batta's Contact Information
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