I'm a Software Engineer at Hewlett Packard Enterprise on the Mist SRE team, building observability infrastructure for wireless networking telemetry at scale. I hold a Master's in Computer Science from Texas A&M University (4.0 GPA) and previously spent two years at Cisco Systems building high-throughput distributed systems for optical network monitoring.

I'm passionate about designing systems that are both intelligent and operationally excellent — from streaming data pipelines and Kubernetes operators to AI-driven automation that cuts incident resolution time from hours to minutes.

• 🏗️ Currently building Apache Flink-based streaming pipelines and Kubernetes operator frameworks at HPE Mist
• 🤖 Interested in Agentic AI, distributed systems, observability, and search/recommendation systems
• 🛠️ My strengths span backend engineering, data infrastructure, and AI/ML systems
• 🎯 Hit me up for distributed systems, streaming data, LLM agents, or software architecture
• 🏸 Former competitive badminton player

• Flink Kubernetes Operator — Extended the open-source operator with a load-based parallelism autoscaler, reducing job downtime by ~90%
• AI-Driven RCA Agent — Built with Claude + LangChain + LangGraph; cut mean time to resolution from 2–3 hours to 20–30 minutes (~80% reduction)
• Generic Flink Operator Framework — JSON-config-driven SQL aggregation DAGs powering 656 production jobs processing millions of Access Point events daily
• Go Telemetry Agent — Tracks 48K+ Kafka consumer groups across 12 environments with sub-second observability signals
• CortexFS — Intelligent file organization system using LLM agents (Ollama + LangChain), FastAPI backend, and ElectronJS frontend

Languages

Data Infrastructure

Frameworks & APIs

AI & ML

Cloud & DevOps