Quick answers to common questions
I work on product-focused engineering engagements: cloud-native platforms, AI features (RAG/chatbots), architecture and scalability, and end-to-end delivery (web/mobile + backend). I’m especially effective in teams that need hands-on leadership plus strong execution.
We start with a short discovery call to understand your goals, constraints, and timelines. Then I propose a clear scope, milestones, and a delivery plan (architecture + execution). For ongoing work, we align on a weekly cadence and measurable outcomes.
Yes. I build production-grade RAG systems (vector DB + retrieval + guardrails), connect them to your internal knowledge sources, and ship them as reliable products. I can also add observability, evaluation, and continuous improvement workflows.
Yes. I can review your current architecture, identify bottlenecks and risks, and propose a pragmatic roadmap. I also mentor teams on best practices (microservices, Kubernetes, CI/CD, reliability, code quality) and help implement the changes.
Common stacks include TypeScript/Node.js, React/Next.js, Python/FastAPI, Kubernetes on AWS (EKS/ECS), and modern data stores (Postgres, Redis, MongoDB, vector DBs like Qdrant). I pick what fits the product and team.
It depends on scope. A focused MVP can take 3–6 weeks, while larger platforms or AI rollouts can take 6–16+ weeks. I prefer shipping in milestones so you get value early and can iterate based on feedback.
I offer both project-based pricing (fixed scope/milestones) and hourly/retainer options. Pricing depends on complexity, risk, and timeline. After discovery, I’ll provide a transparent estimate and suggested delivery approach.
Yes—depending on my current workload. I do consulting, architecture guidance, and interim leadership (VP R&D / Tech Lead) for teams that need direction and hands-on delivery.