Software Engineer · Distributed Systems · Data Platforms · AI Infrastructure
I build infrastructure for
distributed systems, data platforms, and AI.
5+ years building production software for distributed data platforms, with professional agentic AI / security work and hands-on LLM infrastructure engineering in my personal lab.
- Multi-cluster Trino / Starburst estate, AWS + on-prem
- Production software, IaC + CI/CD, and reliability
- Professional agentic AI / security engineering
- Hands-on heterogeneous AI inference infrastructure, personal lab
Experience
Comcast, Software Engineer II
Software & distributed systems development
- Java, Python, SQL, and shell development for distributed query infrastructure, including Trino codebase development, proxy and integration components, and query-performance engineering.
- Python automation and tooling for deployment, operations, and developer workflows across the platform estate.
- Optimizer-related and query-performance work that keeps interactive analytics responsive under production load.
Distributed data platform
- Engineer and operate production Trino / Starburst clusters across AWS and on-prem environments.
- Multi-cluster estate: sizing, upgrades, and workload placement across distributed query processing.
- Snowflake and data-source integrations through federated access.
- Running interactive analytics and federated data access.
- Multi-clusterTrino / Starburst Estate
Running interactive analytics and federated data access.
- Terraform, Ansible, and GitHub Actions for reviewable, reversible rollouts.
- IaC + CI/CDSystems & Delivery
Terraform, Ansible, and GitHub Actions for reviewable, reversible rollouts.
- Hands-on LLM inference across Blackwell, Grace Blackwell, and Ampere systems.
- 2× RTX 5090 + GB10AI Inference Lab
Hands-on LLM inference across Blackwell, Grace Blackwell, and Ampere systems.
Personal lab, independent of professional work.
Focus areas
01
Software Development
Trino codebase contributions, proxy and integration components, and query-performance work in Java, Python, SQL, and shell.
02
Distributed Systems & Data Platforms
Keeping a multi-cluster fleet predictable: declarative state, safe rollouts, failure handling, and observability that supports diagnosis at fleet scale.
03
Agentic AI & Security
Designing guardrails and structured outputs so agentic security analysis stays trustworthy in a security context.
04
AI / ML Infrastructure
Picking engines, quantization, and context budgets per node so one API serves different model sizes across different GPUs.
Selected work
Projects & case studies
Professional case study
Agentic Security & Compliance Platform
An AI-driven security and compliance platform: agentic workflows that analyze software repositories, assess security risk, and surface actionable remediation guidance.
Professional case study
Distributed Query Platform Engineering
Production distributed query infrastructure spanning AWS and on-prem environments.
Personal lab · Heterogeneous GPU / AI infrastructure
Multi-GPU AI Infrastructure Lab
Heterogeneous LLM inference infrastructure spanning Blackwell, Grace Blackwell, and Ampere systems, using SGLang, vLLM, and llama.cpp for optimized local model serving behind OpenAI-compatible APIs.
I build production distributed data platforms, now extending into AI / ML infrastructure — with a personal GPU lab where that same discipline is applied to modern LLM inference.
Let’s build reliable systems.
Open to Software Engineering, Distributed Systems, Data Platform, Agentic AI / Security, and AI Infrastructure opportunities.