Phanindra Kalaga

Recent Data Science Master’s graduate from George Washington University (GPA: 3.90), with a track record of delivering production-grade ML systems and leading impactful research. I build Python/SQL data pipelines, train and deploy NLP/ML models (LLMs with vLLM), and serve models through scalable APIs and decision-ready dashboards. I ship open-source packages with GitHub Actions CI and optimize inference on HPC/GPU clusters achieving 7x throughput improvements.

During my graduate studies, I served as Lead Graduate Research Specialist at LAiSER Lab, where I led the development of an open-source analytics package processing 1M+ job descriptions for workforce skill gap analysis—work that informed policy recommendations for the Texas Workforce Commission. I also built an autograding toolkit as a Graduate Assistant that reduced grading turnaround from 3 days to 2 hours, and led a team of 5 to deploy a full-stack analytics platform (Next.js + Flask) for sustainable development research.

Beyond technical work, I’m passionate about developer communities. As President of Google Developer Groups On-Campus at GWU, I organized AI/ML events reaching 1,500+ developers including DevFestDC and DevFest Annapolis. My open-source contributions earned recognition at GWU’s Open-Source Awards, and my medical AI project was selected for presentation at UN Open-Source Week 2025.