architecture / implementation / handover
Engineering expertise
Explore how I approach backend systems, AI retrieval, data pipelines, cloud delivery and full-stack products. Every topic links to actual work and explains trade-offs, tests, and failure modes.
Backend API & Systems Engineering
I design and implement application backends that treat data integrity, permissions and recovery as product requirements—not afterthoughts.
Approach and case studies ↗ENGINEERING FOCUSData Pipelines & ETL Engineering
I build data flows that people can reproduce, reconcile and trust—from raw events to documented analytical models.
Approach and case studies ↗ENGINEERING FOCUSRAG & AI Backend Engineering
I treat AI retrieval as a backend security and data-quality problem, with model choice only one part of the system.
Approach and case studies ↗ENGINEERING FOCUSAWS Cloud & DevOps Engineering
I design deployment and cloud operations around availability goals, least privilege and the team that will maintain the system.
Approach and case studies ↗ENGINEERING FOCUSFull-Stack SaaS & Web Products
I connect product interfaces with clear backend boundaries so users can finish the job they came to do.
Approach and case studies ↗ENGINEERING FOCUSDistributed Systems & Reliability
I look for the point where a successful request can still leave the business in the wrong state.
Approach and case studies ↗ENGINEERING FOCUSRecommendation & ML Serving Systems
I connect machine learning experiments to serving APIs that can be tested, monitored and versioned.
Approach and case studies ↗Prefer an implementation deep dive?
Read the technical decision notes, review the project case studies, or discuss an engineering role or project.
Let’s talk
I like working through complex problems with people who care about the details. Have a product to build, an engineering role, or an interesting challenge? Let’s start a conversation.
SaaimOpen to full-time roles, contract work, and conversations about things worth building.