Distributed systems · Full-Stack · Cloud infrastructure · AI/ML platforms
I build systems where scale, reliability, latency and cost all have to hold at the same time.
Software engineer, working end to end, from low-level performance and Linux servers, through distributed architecture, to user-facing applications.
- Architecture - service boundaries, data modeling, and the trade-offs behind them
- Performance - profiling, serving-path optimization, p99 over averages
- Reliability - failure modes, fault isolation, observability, incident response
- Cost - capacity planning and resource utilization as design constraints
- AI/ML infrastructure - inference serving, RAG pipelines, evaluation systems, GPU workloads
I care less about using the newest technology and more about choosing the right abstraction for the problem.
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Languages |
Backend & APIs |
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Cloud & Platform |
Data & Storage |
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Observability |
Frontend |
Architecture
Multi-region & HA design Microservices Event-driven architecture CQRS Event sourcing
DDD Caching strategies Rate limiting Capacity planning API design Real-time systems
Reliability & SRE
Distributed tracing Structured logging SLOs Alerting pipelines Incident response
p99 latency optimization Fault isolation Datadog OpenTelemetry Dynatrace PagerDuty
Data engineering
Query optimization Indexing Replication Sharding Migrations Large-scale storage
AI/ML systems
LLM integrations RAG pipelines Agents Embeddings Model inference & serving
LangChain LangGraph MCP vLLM Hugging Face GPU compute Evaluation infrastructure
pgvector Pinecone Weaviate
Security & identity
OAuth 2.0 OpenID Connect SAML JWT SSO RBAC OWASP Top 10
Auth0 Clerk AWS Cognito Microsoft Entra ID
Simple > Clever
Correctness > Premature optimization
Clear interfaces > Clever abstractions
Measurement > Guessing
Automation > Repetition
Reliable systems > Impressive demos
Root cause > Temporary fix
Open to interesting remote engineering work — backend, infrastructure, or ML systems.
Building systems that scale, survive production, and stay maintainable.