Open to opportunities

Sanjay Budde

@sanjaybudde

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Machine learning engineer delivering scalable, production-ready AI solutions.

United States

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What I'm looking for

I seek a role building scalable, production ML systems with strong MLOps, privacy-aware practices, and opportunities to impact healthcare or finance outcomes.

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

Current

Machine Learning Engineer

Current

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.

Transformers Hugging Face BERT Apache NiFi Kubernetes fastAPI SpaCy ChromaDB Prometheus

Machine Learning Engineer

Accenture

Jun 2021 - Jun 2023 (2 years)

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.