Marketing Analytics and Onchain Dashboarding
Built marketing analytics workflows using Python and SQL, then extended that foundation into onchain analytics with SQL-driven dashboards using Flipside Crypto.
Collection '26
A AI Developer building systems that connect tools, data, and action.
AI developer with a background in Marketing Analytics, focused on building workflows and AI automation pipelines that connect tools, data, and actions into one smooth system.
A scroll-driven view of the themes, systems, and projects that shaped this portfolio.
Built marketing analytics workflows using Python and SQL, then extended that foundation into onchain analytics with SQL-driven dashboards using Flipside Crypto.
Developed a Twitter-based agent to automate engagement workflows and streamline customer support interactions across social channels.
Expanded into browser-native agents designed for platform engagement, growth automation, and repeatable outreach across digital environments.
Built OpenClaw-based workflow systems connected through MCP, enabling orchestration across hundreds of apps and tools within a unified AI workspace.
Built an agent-driven inventory system that tracks household usage, detects discounts, and automates restocking before essentials run out.
Integrated OpenClaw with Meta AI glasses to unlock hands-free access, enabling spoken interaction and workflow control from anywhere.
Connected Hermes and OpenClaw agents to external platforms through CLI-based workflows, automating data analysis pipelines with SQL and Python while expanding operational flexibility.
Building a financial engineering AI agent and multi-agent quant trading system spanning factor extraction, explicit and implicit corpus mining, backtesting pipelines, and RL-driven portfolio execution.
A focused selection of automation, orchestration, and AI workflow systems.
01
An OpenClaw-based AI workspace that can connect with hundreds of MCP tools, enabling faster automation, streamlined orchestration, and more efficient execution across complex workflows.
02
An AI-powered home inventory management system that intelligently tracks ingredients and predicts restocking needs.
03
An AI-driven browser automation agent built with Browser Use to identify relevant audience segments, execute targeted platform engagement, and expand project visibility through scalable outreach.
04
Building a multi-agent quantitative trading system with a full RL pipeline (AlphaCore v4), Transformer-based feature extraction, MCTS planning, and a 3,800-stock action space. Contributing to the end-to-end system design across automated factor research, MLOps experiment orchestration, multi-stage backtesting, and anomaly-aware live execution.
Learn moreCore systems thinking, automation tooling, and model-centric workflow design.