Sanjay Budde
@sanjaybudde
Machine learning engineer delivering scalable, production-ready AI solutions.
What I'm looking for
I am an experienced Machine Learning Engineer with three years building and deploying production ML solutions across NLP, computer vision, and time-series domains. I have delivered 9+ models using TensorFlow, PyTorch, and Scikit-learn, improved model accuracy by 28%, and reduced data processing latency by 30% through real-time pipelines with Spark, Kafka, Hadoop, and BigQuery.
I design and deploy scalable inference systems on cloud platforms (AWS SageMaker, Azure ML, Vertex AI) using Docker, Kubernetes, FastAPI, and CI/CD tooling, achieving significant improvements in deployment speed and observability. I emphasize MLOps best practices, privacy-compliant federated learning, and interpretable analytics to drive measurable business outcomes in healthcare and finance.
Experience
Work history, roles, and key accomplishments
Machine Learning Engineer
McKesson Corporation
Aug 2024 - Present (1 year 1 month)
Built Transformer-based multi-label diagnosis classifiers on 1M+ patient records, improving prediction precision by 25% and preserving HIPAA compliance; designed ETL pipelines that reduced data refresh cycles by 32% and deployed scalable inference with 55% uptime improvements.
Engineered time-series forecasters and fraud detection systems that increased model accuracy by 31% and supported 7,000+ daily API calls; implemented CI/CD, model compression, and edge deployments meeting sub-20ms latency SLAs.
Education
Degrees, certifications, and relevant coursework
University of Central Missouri
Master of Science, Computer Science
Master of Science in Computer Science focused on advanced machine learning and data engineering techniques.
MVSR Engineering College
Bachelor of Engineering, Computer Science
Bachelor of Engineering in Computer Science covering software engineering, algorithms, and systems.
Availability
Location
Authorized to work in
Job categories
Skills
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