🎓 Graduate student at Purdue University, passionate about Kubernetes, storage, LLM inference, and cloud-native infrastructure.
🔬 Currently researching Optimization for AI inference on Cloud Native environments.
💻 Formerly at Cisco Systems and Veeam (Kasten) and now contributing to Purdue's RCAC.

• Languages: Go, Python, C, C++
• Cloud & Infra: Kubernetes, Docker, OpenShift, GKE, AWS (EKS/S3/EC2)
• Databases: PostgreSQL, MongoDB, SQLite

• 🧪 Graduate Research Scientist, RCAC @ Purdue
  Building Purdue GenAI Studio (https://genai.rcac.purdue.edu/) with GPU autoscaling and real-time accounting for Kubernetes resources (https://github.com/PurdueRCAC/rancher-accounting)

• 🛠️ Engineering Intern, Kasten @ Veeam
  Implemented portability features for the Kopia backup tool and addressed clock skew (kopia/kopia#4719)

• 🌐 Software Engineer, Cisco Systems
  Created queue-based microservices to provision IAM security groups

• 📝 Published paper at PEARC25 (2025): https://doi.org/10.1145/3708035.3736039
• 📝 Presented paper at IEEE ANTS (2025)
• 📝 Accepted paper at IEEE ICC (2026)
• 🌎 Represented Purdue at SC24, SC25 & attended KubeCon NA 2024, 2025