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I’m an AI/ML Engineer focused on turning data into meaningful decisions across healthcare, technology, and enterprise domains. I specialize in building scalable ML systems, NLP, computer vision, and cloud-native deployments. I enjoy collaborating with clinicians and product teams to deliver solutions that balance innovation with compliance. I’m proficient in AWS, Azure, and GCP, ETL, predictive analytics, and visualization, and I love turning raw data into actionable insights. I value clean data governance and HIPAA-compliant practices, and I’m passionate about continuous learning and translating business needs into measurable outcomes.…I’m an AI/ML Engineer focused on turning data into meaningful decisions across healthcare, technology, and enterprise domains. I specialize in building scalable ML systems, NLP, computer vision, and cloud-native deployments. I enjoy collaborating with clinicians and product teams to deliver solutions that balance innovation with compliance. I’m proficient in AWS, Azure, and GCP, ETL, predictive analytics, and visualization, and I love turning raw data into actionable insights. I value clean data governance and HIPAA-compliant practices, and I’m passionate about continuous learning and translating business needs into measurable outcomes.

Dhairya Desai

Data Scientist, AI Engineer, Data Analyst, +1

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I’m an AI/ML Engineer focused on turning data into meaningful decisions across healthcare, technology, and enterprise domains. I specialize in building scalable ML systems, NLP, computer vision, and cloud-native deployments. I enjoy collaborating with clinicians and product teams to deliver solutions that balance innovation with compliance. I’m proficient in AWS, Azure, and GCP, ETL, predictive analytics, and visualization, and I love turning raw data into actionable insights. I value clean data governance and HIPAA-compliant practices, and I’m passionate about continuous learning and translating business needs into measurable outcomes.…I’m an AI/ML Engineer focused on turning data into meaningful decisions across healthcare, technology, and enterprise domains. I specialize in building scalable ML systems, NLP, computer vision, and cloud-native deployments. I enjoy collaborating with clinicians and product teams to deliver solutions that balance innovation with compliance. I’m proficient in AWS, Azure, and GCP, ETL, predictive analytics, and visualization, and I love turning raw data into actionable insights. I value clean data governance and HIPAA-compliant practices, and I’m passionate about continuous learning and translating business needs into measurable outcomes.

Available to hire

I’m an AI/ML Engineer focused on turning data into meaningful decisions across healthcare, technology, and enterprise domains. I specialize in building scalable ML systems, NLP, computer vision, and cloud-native deployments. I enjoy collaborating with clinicians and product teams to deliver solutions that balance innovation with compliance.

I’m proficient in AWS, Azure, and GCP, ETL, predictive analytics, and visualization, and I love turning raw data into actionable insights. I value clean data governance and HIPAA-compliant practices, and I’m passionate about continuous learning and translating business needs into measurable outcomes.

Skills

Experience Level

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Work Experience

AI/ML Engineer at Optum (UnitedHealth Group)

September 1, 2024 - Present

Designed predictive healthcare models reducing hospital readmission risk by 17%, delivering nurses a daily ranked list of high-risk patients. Implemented fraud detection algorithms improving claims identification accuracy by 22% and prioritizing cases for the SIU team. Built clinical NLP pipelines processing 2M+ physician notes, boosting documentation efficiency by 30%. Introduced semantic NLP models to extract diagnoses, symptoms, and medications powering coding assists and downstream features. Developed a customer engagement model improving patient adherence to treatment plans by 12% through targeted outreach. Partnered with clinicians to ensure HIPAA-compliant AI solutions. Engineered scalable ML workflows on AWS SageMaker and Redshift for deployment and monitoring. Collaborated with multidisciplinary teams to embed AI into healthcare operations.

Software Engineer at Paperboat Tech Solutions Pvt. Ltd

September 1, 2020 - November 1, 2022

Developed predictive maintenance models reducing equipment downtime by 30%, automated ETL pipelines using PySpark and SQL Server reducing reporting effort by 50%, and engineered real-time forecasting models in PyTorch and AWS SageMaker, enhancing demand prediction accuracy by 35%. Designed Power BI dashboards improving leadership decision-making efficiency by 20%. Created CNN-based computer vision solutions for anomaly detection and streamlined big data pipelines with Hadoop and Spark. Collaborated with product teams to integrate AI into enterprise systems and supported CI/CD workflows with Jenkins and Git for smoother retraining cycles.

Data Analyst at Xtint Technologies Pvt. Ltd

March 1, 2016 - July 1, 2020

Produced executive dashboards in Tableau, providing senior leaders with real-time visibility into KPIs. Optimized SQL-driven workflows reducing query execution time by 28% and improving reporting accuracy. Automated Excel processes saving 15+ hours weekly. Conducted large-scale data cleansing improving data reliability by 25%. Designed standardized reporting templates improving consistency across business units. Collaborated with managers to align analytics initiatives with business priorities, strengthening outcomes. Delivered actionable data insights guiding market expansion and operational strategies. Mentored junior analysts on SQL and visualization best practices.

Data Analyst (Training and Project) at FairDeal Power Controls

January 1, 2012 - December 1, 2015

Established data infrastructure using SQL and Tableau, enabling real-time KPI tracking across business units. Executed a pricing experiment that improved customer lifetime value by 25%. Reengineered operational workflows, boosting process efficiency in 22 functional areas. Designed automated reporting modules that eliminated manual redundancies and improved timeliness. Facilitated management reviews with data-backed insights, ensuring fact-based decision-making. Delivered visualization dashboards that clarified trends in product performance and customer demand. Strengthened data governance by developing standardized documentation practices. Supported strategic projects through detailed analysis of long-term market performance.