A track record of shipping data & AI.

San Jose, California

Trusted technical advisor to state, local, education, and ISV customers across the data and AI lifecycle. I design secure, scalable Azure analytics solutions, lead modernization and migration planning, and translate customer requirements into production-ready architectures.

• Guide adoption of Microsoft Fabric, Databricks, Synapse, Power BI, and Purview
• Lead technical presentations, live demos, and hands-on sessions for customers and universities
• Focus on governance, performance, cost optimization, and long-term maintainability
• Partner with sales, engineering, and product from envisioning to implementation readiness

Remote

Delivered agentic AI, NLP, and applied machine learning solutions end to end on Azure, from data pipelines to production deployment and dashboards.

• Agentic AI document automation cut manual review time by 70%
• Attrition prediction model improved planning accuracy by 30%
• NLP litigation risk modeling reduced legal costs by 20%
• Azure Fabric pipelines reduced model training time by 25%
• Azure MLOps reduced deployment time by 30%
• Azure DevOps CI/CD reduced release errors by 40%

Dallas, Texas

Embedded with the data science team to build and validate ML models end to end, from feature engineering through evaluation and handoff to production pipelines.

• Engineered features and ran model selection across classification and regression tasks for client analytics use cases
• Built and cleaned training datasets to improve signal quality and reduce downstream model noise
• Collaborated directly with senior data scientists, accelerating the path from experimentation to deployment

Dallas, Texas

Delivered analytics for one of Texas's largest energy providers, translating raw subscription and customer data into executive-ready dashboards that drove commercial strategy.

• Designed Tableau dashboards tracking KPIs for residential and commercial electricity-plan subscriptions
• Built and automated Alteryx data prep workflows to replace manual reporting and accelerate insight delivery
• Surfaced trends informing pricing and product decisions for business stakeholders

Remote

Worked within HPE's global analytics function to optimize BI infrastructure and improve the accuracy of ML models powering operational reporting for leadership.

• Redesigned ETL pipelines, accelerating data delivery by 15% across reporting workflows
• Improved Qlik app reload performance by 20% through query and data model optimization
• Applied SVM feature engineering to boost predictive model performance by 20%
• Built dashboards enabling global leadership to track operational KPIs in real time

Bengaluru, India

Researched and built deep learning and NLP systems across medical imaging and literary text analysis, delivering models that reached production-grade accuracy benchmarks.

• Built a COVID-19 detection model using VGG16 and PyTorch on X-ray and EHR data, achieving 98% accuracy
• Developed NLP pipelines for persona and relationship extraction using NER and sentiment analysis, lifting reader engagement by 25%
• Designed full training pipelines from data ingestion through evaluation and results reporting

Bangalore, India

Researched distributed resource allocation and built real-time big data ingestion prototypes.

• Prototyped a decentralized, partition-based resource framework with Docker and Mesos APIs
• Designed a Spark Streaming and Hadoop model for live, parallel data processing