AI & Automation Engineer Finance×Systems×AI
Building intelligent systems for financial operations.
I design and build AI-powered workflows, integrations, agents and automation systems that connect business processes with the financial software teams already run on — accounting platforms, spreadsheets, APIs and internal tools.
Based in Nepal · Working globally
- 01 · Business dataInvoicesBank dataDocumentsEmails
- 02 · AI / reasoningAI agentsRAGTool callingMCP
- 03 · Automationn8nAPIsPythonWorkflows
- 04 · Financial systemsXeroGoogle SheetsDashboards
- 05 · Decision / actionApprovalReconciliationReportingInsights
02Selected work
Systems built end to end.
Five systems across finance, operations and conversational AI. Each one is a full pipeline, not a single AI call. Open any for the problem, architecture and outcome.
03Experience
From shipping websites to automating finance.
The roles are the resume. The direction is the point: each step moved closer to the place where AI, automation and real business systems meet.
AI and Automation — FinOps
Working directly with clients on requirements and building end-to-end automation pipelines for financial operations. Automated 6+ finance workflows and helped save clients more than 15 hours of weekly manual work.
Coding Instructor
Taught programming fundamentals and robotics. Practice in breaking complex technical concepts into something learnable, which is most of what explaining a system to a non-technical stakeholder is.
Web Development Intern
Worked with 5+ clients developing and maintaining 20+ websites and CMS solutions. Where client delivery, deadlines and shipping to production became habits.
04About
I enjoy taking messy, repetitive or complex business processes and turning them into systems that actually work.
My work sits between AI engineering, automation, backend systems and business operations. I like understanding how something works today, finding what slows it down, and figuring out how a system can make it simpler and more reliable.
I am particularly interested in applying AI where it creates measurable operational value: a finance team that stops rebuilding the same report by hand, a support queue that gets triaged before anyone opens it, a process that runs on schedule instead of on memory. Less AI for the sake of AI, more systems that quietly do the work.
05Insights
Thinking about AI, automation and financial systems.
Technical writing on the systems behind the work: backend architecture, reliability, and where AI earns its place.
AI in Finance: A Practical Framework for Leveraging It
Less prediction, more practice: what actually happens when you put AI into real finance workflows — invoices, reconciliations, reports and the systems in between.
Implementing Redis in a Django Application
A step-by-step walkthrough of integrating a Redis cache layer to turbocharge your Django app's performance.
Optimizing Backend for Fast and Scalable APIs
Demand for responsive, scalable APIs is paramount. Strategies and patterns for building APIs that hold up under real load.
06Contact
Let's solve something.
For finance and operations teams, founders and engineers working on problems where AI, automation and real business systems meet. Bring the workflow as it exists today.