Rohan Bagulwar

Machine Learning Engineer

Gainesville, Florida, United States2 yrs 11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building scalable ML solutions.
Specializes in computer vision and time series modeling.
Proven track record in delivering business outcomes.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in SaaS and Healthcare solutions.

Contact

Skills

Core Skills

Data ScienceMachine LearningGenerative AiComputer Vision

Other Skills

StatisticsAlgorithmsAzureDatabricksXGBoostMLflowCrewAINatural Language ProcessingflaskRabbitMQModel Context Protocol (MCP)OpenAI APIAzure vmPython in AzureMedical Testing

About

I'm Rohan Bagulwar, a Machine Learning Engineer who designs Gen-AI infrastructure and end-to-end ML solutions that drive real business outcomes. I also specialize in computer vision, time series modeling, and complete ML lifecycle management—turning AI concepts into scalable, production-ready systems. My focus is simple: build intelligent solutions that solve actual business problems and deliver measurable results.

Experience

2 yrs 11 mos

Total Experience

1 yr 5 mos

Average Tenure

Current Experience

University of florida institute of food and agricultural sciences

Graduate Student Research Assistant

Oct 2025 – Present · 8 mos · United States · On-site

Working on research of various ai applications for precision agricultural outcomes

University of florida

Graduate Research Assistant(volunteer)

Sep 2025 – Nov 2025 · 2 mos · Florida, United States · On-site

I am currently working as a Research Assistant in the I-Heal Lab at the University of Florida, focusing on delirium detection in medical ICU datasets. My work involves analyzing U.S. healthcare records to identify whether a patient is in a state of coma, normal, or delirium based on the administered drugs and their outcomes. To address this challenge, I am implementing classical machine learning models such as CatBoost for structured tabular data. Alongside this, I am also exploring attention-based large language models (LLMs) to capture deeper relationships between medications, patient conditions, and outcomes. The project integrates both predictive modeling and statistical testing to ensure reliability and clinical validity. By combining ML with advanced NLP methods, the goal is to enhance early detection and monitoring of delirium in ICU patients. This work contributes to improving patient care by providing actionable insights for clinicians.

StatisticsData Science

Celebal technologies

Associate data scientist

Jul 2023 – Jun 2025 · 1 yr 11 mos · Jaipur, Rajasthan, India · On-site

1)Built Azure RAG pipeline using Cognitive Services, Ada embeddings, Azure OpenAI, Form Recognizer, and ACR, deployed on Azure VM to EKS with Blob Storage for document ingestion and processing.
2)Developed electricity energy forecasting system on Databricks infrastructure utilizing Delta Lake, MLflow Model Registry, and DBRX for model serving, forecasting next 15 days using XGBoost algorithms.
3)Implemented remote MCP host for finance analysis on Azure App Service utilizing CrewAI and Azure OpenAI with LlamaIndex for automated financial graph generation through natural language queries.

Generative AIAlgorithms

Zestiot: iot/ai powered connected operations platform

Computer Vision Engineer

Sep 2022 – Nov 2022 · 2 mos · Hyderabad, Telangana, India · On-site

Worked on pub-sub system for manufacturing safety where camera streams act as publishers with multiple YOLO models deployed on subscriber side, utilizing frame queuing for efficient real-time object detection and deployed on remote edge devices for safety monitoring.

flaskRabbitMQComputer Vision