Bhanu Poluparthi is a Data & MLOps Software Engineer with eight years of experience building production-grade ML systems, generative AI applications, and scalable healthcare data pipelines. He combines hands-on engineering—PySpark, TensorFlow, Databricks, AWS/GCP—with domain impact, delivering solutions like LLM-powered transplant matching and chatbots at NYU Langone and optimization tools that cut nurse scheduling costs and equipment downtime by significant margins. His work spans the full data lifecycle from HIPAA-compliant de-identification (saving ~$100K in licensing) to real-time LSTM maintenance systems and time-series forecasting frameworks used in executive decision-making. A published researcher and active open-source mentor (GSoC/GCI/Drupal), he brings both academic rigor and community-driven craftsmanship to applied ML. Notably, Bhanu has repeatedly translated research prototypes into operational services—modernizing pipelines to achieve up to 75% faster processing—making him adept at bridging research, engineering, and measurable business outcomes.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at New York University
Bachelor's Computer Science, Bachelor's Computer Science at Amrita Vishwa Vidyapeetham
Computer Science, Computer Science at 7th CSA Undergraduate Summer School IISc
PCM, PCM at FIITJEE JUNIOR COLLEGE
High School Study, High School Study at Sri Chaitanya Techno School
Contributions:109 commits, 51 PRs, 101 pushes in 25 days
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