About Me
I build systems that scale, pipelines that stay reliable, and interfaces that make data useful. My background spans the full stack with a deep focus on the backend, infrastructure, and data layers.
Currently
Research Engineer at USC — modular multi-agent architectures, agent orchestration, LLM evaluation.
Location
San Francisco, CA
Education
MS CS — USC
Data Pipelines & ETL
- Kafka + Airflow + Spark for streaming and batch processing
- Delta Lake, Snowflake, BigQuery for warehousing
- OpenTelemetry tracing, retry logic, circuit breakers
Infrastructure & Reliability
- Docker, CI/CD, Jenkins for deployment automation
- Log tracing, alerting, fault-tolerant architecture
- SLO/SLI definition and incident response
AI & Retrieval Systems
- RAG pipelines with semantic chunking and embedding search
- LLM-as-judge evaluation for answer quality
- Multi-agent architectures for knowledge workflows
Experience
Research Engineer
University of Southern California
Investigating modular multi-agent architectures for knowledge-intensive tasks.
- Designing hierarchical multi-agent systems evaluating tradeoffs between agent specialization and inter-agent coordination overhead.
- Evaluating LLM-as-judge scoring and Chain-of-Thought prompting for self-correction in agentic loops.
- Prototyping a fault-tolerant agent orchestration framework with pluggable tool interfaces.
PythonLLM APIsRAGVector DatabasesFastAPI
Skills
Data Engineering
PythonKafkaSparkAirflowDelta LakeSnowflakePostgreSQLETL
Infrastructure
DockerKubernetesAWSTerraformCI/CDOpenTelemetryMonitoring
AI / ML
RAGLLM APIsVector DBsPyTorchLangChainLLM Evaluation
Backend & API
FastAPINode.jsExpressMongoDBRedisGraphQL
Education
M.S. Computer Science
University of Southern California
2023 – 2025