I engineer systems across data, software, and AI.

§ 01 · BIO

I build things that sit at the intersection of data, software, and intelligence. Over the past few years I've shipped full-stack products — from real-time oil-tracking dashboards to AI companions with long-term memory — and I care as much about how a system handles failure as how it feels to use. Based in Seattle. Thinking in systems.

§ 02 · SELECTED WORK

Things I've shipped.

§ 01 · 2025–2026 · Live

BittuBot v2

A polished successor to BittuBot — a streaming, memory-aware AI assistant with a refined chat UI. Groq in development, Anthropic Claude in production, running on Next.js 16 + Neon.

Next.js 16TypeScriptTailwind v4Vercel AI SDKAnthropicGroqNeonDrizzleMotion

View live ↗

§ 02 · 2025 · In development

CrudeOptic

A geopolitical oil-tracking dashboard that visualizes imports, exports, production, reserves, and pricing for every major country. When events like Strait-of-Hormuz disruptions hit the news, the map highlights affected nations and quantifies impact.

Next.js 14TypeScriptTailwind v3D3RechartsGlobe.glSupabaseGDELT

View live ↗

§ 03 · 2025 · Prototype

plant-pantry

A vegan recipe assistant that takes ingredients you have on hand and suggests what to make. Built around production-grade AI guardrails — rate limiters, circuit breakers, fallbacks, and caching — to keep Claude API costs bounded and the experience snappy.

Node.jsExpressAnthropic Claudeopossumexpress-rate-limitUnsplash API

View live ↗

StayEase

A guesthouse CRM built for a single real property.

ViteReact 18Tailwind v4Supabase

WhatThePlant

Identify any plant from your camera, offline-friendly.

React NativeExpoTypeScriptPl@ntNet API

BittuBot

The original three-tier-memory AI companion.

Next.jsSupabasepgvectorGroq

View all projects on GitHub ↗

§ 03 · CRAFT

How I work.

Product engineering. I ship end-to-end — from architecture and data modelling to UI polish and deploy. Over 13 years spanning startups, global consultancies, and Amazon-scale systems.

AI systems. LLM integration, RAG pipelines, agentic AI, memory and embeddings, streaming UIs, prompt engineering, and cost-aware guardrails. I've shipped AI features to production and dealt with the billing surprises.

Data & visualization. Real-time dashboards, D3-driven maps, event-driven ETL pipelines, data warehousing at scale, and geopolitical data modeling across a dozen heterogeneous sources.

Full-stack craft. TypeScript, React, Next.js, Python, Node.js, Postgres (Supabase/Neon/Redshift), Vercel, AWS (Lambda, Step Functions, CDK, EC2, DynamoDB, S3). I write the backend, own the deploy, and sweat the mobile breakpoints.

Stack

TypeScriptPythonReactNext.jsNode.jsTailwind CSSMotionVercel AI SDKAnthropic ClaudeGroqOllamaAWS LambdaStep FunctionsAWS CDKDynamoDBS3PostgreSQLAmazon RedshiftSupabaseNeonpgvectorDrizzleD3RechartsGlobe.glTableauReact NativeExpoGitHub ActionsVercel

§ 04 · TRACK

Where I've been.

Senior Data Engineer

·Amazon·Seattle, WADec 2023 – Present

–Designed and built a full-stack, event-driven self-service data operations platform (React/Cloudscape frontend, Python serverless backend, Step Functions orchestration, DynamoDB config store) that reduced data operations turnaround by 99% — from 2–3 days to under 15 minutes.
–Designed and built a serverless API gateway, Python SDK/CLI, and AWS CDK stack bridging REST clients to internal services with OAuth2 auth, multi-region routing across 3 global stacks, circuit breakers, and canary deployments — reducing cohort pipeline provisioning from 8 hours/week to seconds and enabling 12× scale (40 → 500+ cohorts).

Data Engineer

·Amazon·Toronto, CanadaJun 2022 – Nov 2023

–Architected and maintained the team's core analytical data platform on Amazon Redshift, serving as the foundation for all analytics and reporting for the 3P Seller business.
–Solely designed and launched a self-managed Tableau Server on AWS (EC2, EBS, VPC, ELB, Route53, SES) with enterprise SSO, DNS, and network security integration.
–Built scalable ETL and automation pipelines to ingest, model, and persist data from multiple upstream sources; produced standardized metrics and data models distributed via Amazon's internal data exchange platform.

Data Engineer

·Infosys Limited·Toronto, CanadaFeb 2020 – Apr 2022

–Led a large-scale cloud migration for a global food and beverage company, building data models and ELT pipelines to forecast product shipment logistics and consumption metrics for the Sales Operations supply chain planning team.

Full résumé →

§ 05 · REACH

Say hello.

If you're building something with AI, working on data-heavy systems, or just want to trade notes — I'm easy to reach.

LinkedIn ↗GitHub ↗