7+
Years building production systems
Backend services, AI platform operations, distributed infrastructure, and internal developer platforms.
Backend-focused senior engineer building AI platforms, distributed systems, developer tooling, and cloud-native infrastructure. I work across Node.js, TypeScript, Python services, Kubernetes, observability, data pipelines, and modern web platforms with a strong bias toward production reliability and developer experience.

Senior Software Developer / Platform Engineer
I design backend-heavy AI platforms where inference services, admin tooling, observability, data systems, and Kubernetes infrastructure operate as one reliable product surface.
7+
Backend services, AI platform operations, distributed infrastructure, and internal developer platforms.
AI
Inference routing, platform operations, admin ecosystems, documentation systems, and AI workflow tooling.
K8s
Multi-environment deployments, Helm, ArgoCD-style operations, Docker, reliability work, and environment consistency.
Obs
Elasticsearch, Kibana, Datadog, structured logging, service activity tracking, and production debugging.
The strongest story is not a list of tools. It is the ability to connect product surfaces, backend services, runtime infrastructure, observability, and developer workflows into one dependable platform.
Inference
routed
Deployments
multi-env
Logs
indexed
Data
polyglot
Runtime topology
Next.js portals, admin surfaces, documentation systems, and developer-facing workflows.
TypeScript and Python services powering APIs, inference routing, operations, and internal tooling.
Kubernetes workloads connected to Cassandra, Elasticsearch, Postgres, Redis, Pulsar, Kafka, RabbitMQ, and Datadog.
The stack is organized around platform outcomes: inference APIs, admin operations, runtime infrastructure, data movement, observability, and developer experience.
The through-line is practical platform ownership: build the service, expose the control surface, deploy it safely, observe it clearly, and make it easier for other engineers to operate.

June 2023 - Present
Senior Software Developer
Building AI platforms, cloud-native infrastructure, backend systems, admin ecosystems, and developer tooling powering internal and customer-facing AI services.
Built and enhanced AI platform services for inference, platform operations, and internal automation workflows.
Developed scalable Node.js and TypeScript backend services, internal APIs, and operational tooling for platform management.
Designed modern admin portal systems for users, invitations, access control, content, feature flags, and platform configuration.
Maintained Kubernetes deployments across environments and improved deployment automation, consistency, and reliability.
Implemented observability and logging workflows with Elasticsearch, Kibana, Datadog, structured logs, and service activity tracking.
Worked on distributed data and messaging infrastructure involving Cassandra, Elasticsearch, Postgres, Redis, Pulsar, Kafka, RabbitMQ, and failover-aware operational patterns.

September 2019 - May 2023
Senior Software Engineer
Worked on enterprise backend systems, distributed applications, integrations, internal tooling, and cloud-oriented modernization initiatives.
Developed scalable backend APIs and services for enterprise application environments.
Worked on event-driven and distributed architectures, integrations, and internal tooling.
Improved system performance, reliability, and maintainability across backend service surfaces.
Participated in enterprise application modernization and production delivery workflows.

March 2017 - May 2019
Infrastructure Engineer
Supported university infrastructure, datacenter modernization, virtualization, security operations, and internal software systems.
Helped design and implement a university datacenter and managed virtualized environments with XenServer and VMware.
Maintained university systems, including student services and KOHA, while supporting staff and student users.
Improved operations through monitoring, patch automation, network security controls, documentation, and disaster recovery drills.
Each project is framed around the system it enabled: AI operations, admin control, observability, distributed migrations, and developer velocity.
The platform identity is built around maintainability, scale, developer experience, and practical reliability. Beautiful interfaces matter, but they have to sit on systems that can be operated.
The site is organized like a living developer platform: identity today, project case studies next, then articles, experiments, gallery assets, and eventually admin-managed content.
Live foundation
Portfolio, platform story, experience, systems focus, and flagship AI/backend projects.
Ready for MDX/CMS
Technical writing, project case studies, architecture notes, galleries, and dynamic content sources.
Admin-ready
Route reserved for auth, dashboards, analytics, content management, and backend integration.
Available for senior backend, AI platform, developer tooling, distributed systems, and cloud-native engineering conversations.