Veera Venkata Rohit Dusanapudi

I dont just build models I build systems that change outcomes.

At NIH, my ML pipelines process 1.2M+ health records daily, identifying patterns that drive $2.1M in annual savings. At Morgan Stanley, I engineered real time analytics dashboards serving 10K+ financial advisors. Every line of code I write is measured by one question: did it move the needle?

My work spans the full ML lifecycle: from ingesting messy, large scale data with PySpark and SQL, to building production models in Databricks with MLflow experiment tracking, to deploying scalable solutions on AWS. I dont stop at model accuracy I obsess over pipeline reliability, inference speed, and business alignment.

What sets me apart is range. Ive built NLP classification systems using BERT fine tuning, anomaly detection engines for financial compliance, predictive models for healthcare resource allocation, and automated reporting frameworks that eliminated 60% of manual work. I think in systems, not silos.