role: Software Engineer → MS CS Student @ ASU
focus: Distributed Systems, AI/ML, Data Engineering
location: Phoenix, AZ
status: Open to Summer 2026 Internshipsconst meet = {
languages: ["Go", "Python", "TypeScript", "Java", "C/C++"],
backend: ["Node.js", "Flask", "Django", "gRPC", "REST"],
frontend: ["React", "Next.js", "Angular"],
data: ["Spark", "Kafka", "Fluent Bit", "Airflow"],
cloud: ["AWS", "GCP", "Docker", "Kubernetes"],
databases: ["PostgreSQL", "MongoDB", "Snowflake", "BigQuery"],
ml: ["TensorFlow", "Scikit-learn", "OpenCV", "Pandas"]
};Production Systems
- 🏗️ HTTP Collector – Go-based distributed log ingestion → 50K+ events/sec, 4TB/day, 99.99% uptime
- ⚡ Log Forwarder – Fluent Bit + Go microservice → 45% throughput boost, zero data loss
- 🔄 Automated Pipeline – Redpanda Connect + SQLite → eliminated duplication, real-time dashboards
Machine Learning
- 🎓 School Classifier – Random Forest/SVM model → 97.4% accuracy on Phoenix school data
- 🤖 AI Agents Research – LLM-powered anomaly detection for distributed systems observability
Open Source
- 🔧 Fluent Bit – Fixed floating-point bug → ~10% EPS improvement
- 🐛 Fluent Bit – Threshold handling fix
- 📌 Redpanda Connect – Bug discovery & report
|
Real-time plate detection & OCR |
Dynamic chart builder with live preview |
|
Performance benchmarking tool |
Lunar mission simulation |
+ Architected HTTP collector processing 50K+ events/sec with 99.99% reliability
+ Contributed performance improvements to Fluent Bit (10% EPS boost)
+ Built ML classifier achieving 97.4% accuracy on educational data
+ Researching LLM-powered AI agents for system observability
+ Open to collaborating on distributed systems, AI/ML, and open source projectsLooking for Summer 2026 internships in:
- Distributed Systems & Cloud Infrastructure
- Machine Learning Engineering
- Data Engineering & Real-time Processing
- Backend Systems (Go, Python, Java)