
I build production-grade systems across AI, distributed infrastructure, and real-time applications. My work focuses on turning complex ideas into working systems — from agent-driven workflows to low-latency trading infrastructure and large-scale data pipelines. Currently at Absinthe, I built Atlas — an AI agent system that autonomously triages and resolves CSM workflows across Linear, Slack, and GitHub, reducing manual workload by ~80%.
I’ve also led development of multi-chain indexing infrastructure across EVM + Solana (Absinthe Adapters), powering analytics, scoring systems, and user-facing products.
Previously at Filament Finance:
• Built low-latency trading infrastructure , reducing latency (2000ms → 84ms)
• Designed distributed systems handling ~$15M volume
• Worked on execution pipelines and orderbook systems
Beyond this, I actively build and experiment with:
• Agentic systems and workflow automation (multi-agent routing, cron pipelines)
• Data pipelines, analytics infra, and scoring systems
• End-to-end products across backend, frontend, and DevOps
I like operating at the system level — designing architectures where agents handle execution and humans stay in control.
Software Engineer
Absinthe LabsFull Stack Developer
Filament FinanceFull Stack Developer
Archie AIFullStack Developer (Intern)
VmcoNode.js

Vue.js

TypeScript
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Terrafrom

Solidity

Rust

React

Python

PostgreSQL
AWS (Amazon Web Services)

Next.js

MySQL

Kubernetes

Javascript

Java

GraphQL

Git
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Docker