I turn complex financial workflows into products people can understand, operate and improve. My work connects product framing, market data, APIs, decision-support interfaces and the reliability details that make a workflow usable.
Product Architecture · APIs · Automation · Market Data · Trading Workflows · AI-Assisted Development
A growing product ecosystem spanning incoming alerts, data acquisition, a Proprietary Analysis Layer, a decision portal, execution support and operational review. Sheets and Apps Script provided the starting environment; browser interfaces, workflow orchestration and reliability iteration extended it.
The interesting work happens between components: preserving context when a user switches items, distinguishing a request from its outcome, and making freshness visible when background work continues.
| Explore my work | What you can evaluate |
|---|---|
| Product story & project index | Problem framing, scope, product evolution and coverage of the wider project ecosystem |
| Broker & execution architecture | Integration ownership, ambiguous outcomes and release decisions |
| Market data & research products | Freshness, acquisition, screening, backtesting workspaces and chart feasibility |
| Decision-support UX | Desktop/mobile concepts, state design and concrete iteration stories |
| Architecture decisions & recovery | Ten trade-offs, migration choices and operational recovery design |
| Specifications & automation | Acceptance criteria, AI review, content workflows and local-AI exploration |
For product hiring: why this platform exists → how I prioritize and validate.
For technical leadership: integration failure cases → architecture decisions.
For AI and automation teams: AI review and content operations → testable product requirements.
I frame the problem, define workflow behavior, make architecture and scope decisions, participate deeply in implementation, and use AI-assisted development to build and iterate. I examine failure cases and translate them into clearer requirements and validation steps.
My development record includes selected-item reconciliation, chart interaction fixes, timestamp consistency, analyst-comment synchronization and mobile layout iteration. The experience casebook explains the product consequences without publishing private implementation.
The project index brings together platform work, historical-data experiments, backtesting workspaces, screening, content automation, backups and AI exploration. Related components stay within six coherent case-study repositories.
Existing artifacts, documented iteration, design concepts and future proposals are labeled separately. Public visuals use synthetic content. Quantified business impact and deployment maturity are only claimed when supported; this portfolio does not invent them.
Areas of interest: FinTech · Trading infrastructure · Data platforms · Decision systems · AI-enabled products · Workflow automation.
This repository is a sanitised product and architecture case study. Production source code, credentials, proprietary analytical methods, operational configurations and confidential business logic are intentionally excluded.
© Justin Joseph. Portfolio documentation. Production implementation and proprietary methods are not included.