Looking for a job

Vinith kumar Guntupalli

@vinithkumarguntupall

Message

I build production AI, medical imaging, and generative AI systems that improve clinical and operational outcomes.

United States

Message

What I'm looking for

I'm looking to build and deploy production AI, computer vision, and generative AI systems where measurable clinical or operational impact, scalable cloud delivery, and responsible governance matter.

I'm building production-grade biomedical imaging and AI platform services at Genentech, supporting oncology, neurology, and ophthalmology research with GxP-compliant governance.

I develop image classification, segmentation, and biomarker quantification models, along with a generative AI clinical imaging assistant that produces structured radiology summaries and explainable insights. I also implement RAG systems over clinical protocols, imaging metadata, and trial documentation to support context-aware Q&A, reporting, and compliance checks.

Previously at Abbott, I deployed MRI and CT models that improved diagnostic precision by 20% and delivered $800K+ in operational savings. My NLP, RAG, MLOps, and multi-agent automation work improved reporting, clinical review, deployment speed, and workflow automation in regulated environments.

Across EPAM Systems and Virtusa, I productionized scalable AWS machine learning pipelines, forecasting models, PySpark ETL frameworks, and real-time inference APIs. I've supported 10M+ daily transactions, reduced infrastructure costs, and built systems spanning healthcare, finance, supply chain, and technology.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

Genentech

Jul 2025 - Present (1 year 3 months)

Architected production-grade ML platform services for biomedical imaging, built image classification and segmentation models, and developed a Generative AI-powered clinical imaging assistant with RAG for structured radiology summaries.

Machine Learning Computer Vision Generative AI LLM RAG Lang Chain Faiss OpenAI DICOM GxP A B Testing Drift Monitoring PHI PII De Identification

Machine Learning Data Scientist

Abbott

Jan 2023 - Jun 2025 (2 years 5 months)

Deployed deep learning models for MRI/CT segmentation and disease prediction, improving diagnostic precision by 20% and delivering $800K+ operational savings. Built NLP and RAG systems to improve report generation efficiency by 35% and implemented MLOps with MLflow and Airflow.

Deep Learning MRI Segmentation NLP RAG LLM AWS Glue Lambda Kinesis MLFlow Airflow Docker Kubernetes CI CD

Machine Learning Engineer

EPAM Systems

Sep 2020 - Dec 2021 (1 year 3 months)

Productionized end-to-end ML pipelines on AWS EMR, Glue, and Spark, supporting 10M+ daily transactions. Built forecasting models improving supply chain demand accuracy by 15% and led migration to AWS cloud-native architecture reducing infrastructure costs by 30%.

AWS EMR Glue Spark Sagemaker PySpark MLFlow Airflow Forecasting ETL

Junior Machine Learning Engineer

Virtusa

Jan 2019 - Aug 2020 (1 year 7 months)

Built predictive models for churn, demand forecasting, and risk scoring, improving accuracy by 18%. Developed AWS ETL pipelines and real-time inference APIs using Lambda and API Gateway, reducing prediction latency by 30%.