Led engineering of SYNTHONY
(ICLR 2026 DeLTA) and built
table-synthesizers,
a unified library of 16 generative architectures (GAN, VAE, Diffusion, DP)
with an automated evaluation pipeline.
Built a Chain-of-Agents approach for memory-efficient LLM inference
on edge devices (NeurIPS 2026 MLForSys workshop, poster;
arXiv:2610.07782).
Contributed to vLLM open source — resolved async scheduling bugs
(PR #31607), optimizing
the V1 Engine for NVIDIA Blackwell.
Architected edge-to-cloud LLM deployments (gpt-oss-120b + gemma) on
vLLM across NVIDIA edge-to-datacenter GPUs.
Built W&B + GitHub Actions MLOps/CI-CD pipelines and benchmarked
transformer workloads on hybrid HPC (NVIDIA GPU Cloud, DeltaAI).
Sr. Database SRE
Branch Metrics
Orchestrated Kubernetes environments exceeding 1,000 nodes and
optimized Aerospike systems processing 400M transactions/second.
Drove “shift-left” DevEx with custom Python and Flyway tooling.
Achieved $600K in annual cloud savings via AWS optimization.
Sr. Database Engineer
Hallmark Labs
Managed 300+ MySQL databases and 25+ Kafka clusters with
Terraform (IaC) on AWS; saved $100K migrating to AWS MSK.
Built Python/Jenkins ETL and release-packaging pipelines; added
Datadog/Prometheus consumer-lag monitoring.
Sr. MySQL DBA
TMBC (ADP)
Implemented database source control on GitHub and piloted ProxySQL for
performance.
Database Reliability Engineer
Viant (Myspace)
Managed GCP compute nodes and executed zero-downtime migration of
1,400+ databases at 99.99% uptime.
Database Administrator
AltaMed & Nexon America
Managed high-availability SQL Server environments (200+ instances)
across healthcare and gaming.
Data Analyst
Internet Brands (CarsDirect.com)
Education
MASDS — Applied Statistics and Data Science
University of California, Los Angeles (UCLA)
Master of Applied Statistics and Data Science, GPA 4.0. Thesis: Toward an
Auto-Synthesizer: Stress-Aware Selection and Recommendation of Deep Tabular
Generative Models
(eScholarship).
Graduate research at the UCLA Trustworthy AI Lab. Outstanding Master’s
Award, 2025–26.
B.S. CSE — Computer Science and Engineering
University at Buffalo (SUNY)
Skills
Infrastructure & SRE
Kubernetes (1,000+ nodes, k8s / k3s / bare-metal)
AWS (EKS, MSK, S3) & GCP (GKE)
Terraform, Docker, Helm, CI/CD
Data & Databases
MySQL / SQL Server / SQL optimization
Aerospike, Kafka, ProxySQL
Prometheus, Grafana, Datadog, Weights & Biases
ML / AI & Inference
vLLM, TRT-LLM, PyTorch, HuggingFace
CUDA (Blackwell), GPU profiling & transformer optimization