AI Engineer & Automation Developer — building scalable systems that think and act.
I architect, ship, and scale automation platforms with Next.js, Node.js, Python, LLM Ops, and workflow tooling like n8n and Temporal. Ready to join a team shipping production AI products on day one—full-time or contract.

Projects
Technical highlights
Selected builds where I owned architecture, delivery, and measurable outcomes across AI, automation, and DX.
Value
What I offer as a developer
Full-stack product engineering from discovery to deployment—frontend polish, backend systems, AI integration, and ops readiness.
AI & Automation Engineering
Design and deploy production-grade automation platforms powered by LLMs, deterministic workflows, and guardrails.
- ▹Map automation surface area and success metrics
- ▹Compose multi-agent and deterministic orchestration
- ▹Ship monitoring, governance, and rollout playbooks
Product & Platform Engineering
Ship customer-facing SaaS and marketplace surfaces with robust contributor tooling and analytics loops.
- ▹Product strategy, architecture, and delivery leadership
- ▹Contributor or customer onboarding experiences
- ▹Usage analytics, monetization, and instrumentation
Developer Experience & Tooling
Elevate designer-to-developer pipelines with internal tooling, linting, and integrations that teams adopt.
- ▹Design token and component pipelines
- ▹Plugin & extension development across ecosystems
- ▹Integration rollouts and enablement sessions
Testimonials
What people say
Signals from founders, product leads, and collaborators on shipping automation-first platforms together.
“Asitha architected our automation engine from zero to thousands of workflows—production reliability went up while our ops headcount went down.”
“He delivered a Figma-to-code pipeline that slashed delivery timelines by weeks and gave designers instant feedback on feasibility.”
“From ideation to GTM, Asitha's automation expertise helped us move from prototype to paying customers in record time.”
Writing
Tech insights
Deep dives into automation, AI agents, design-to-dev pipelines, and operationalizing LLM workflows.
Shipping Production LLM Ops Without Surprises
Patterns for observability, evaluation, and fallbacks that kept JarvisX compliant and trustworthy for enterprise analysts.
6 min read →Automating 2,000+ Workflows With n8n & Temporal
How we scaled AutomateLanka’s managed automation marketplace with tight SLAs, billing, and governance baked in.
7 min read →Design Handoff to Code: Building the Specs Extractor
A look at generating production-ready specs from Figma and Adobe UXP with automated QA and CI pipelines.
5 min read →Ready to add an AI engineer who ships?
Let’s chat about the roadmap you need help delivering—automation systems, AI agents, or DX tooling.