I build AI-native products, automation systems, and trading operations infrastructure.
My current focus is turning complex workflows into production-grade command centers: clear dashboards, safe automation, audit trails, mobile visibility, and measurable operator control.
| Product | What it does | Focus |
|---|---|---|
| WorkFusionapp | SaaS workspace for EA generation, debugging, scoring, project storage, and subscription workflows. | AI product, SaaS UX, billing, account flows |
| BoltIQ | Trading operations command center around MT5, risk controls, audit logs, mobile/watch monitoring, and research validation. | Execution safety, drawdown discipline, telemetry |
| FitForge AI | Local-first iOS/watchOS fitness coach. | Mobile AI, privacy-first UX |
| Portfolio | Public proof, product notes, and selected projects. | Founder profile, product storytelling |
- AI-assisted SaaS products with real workflows, not just demos.
- Trading operations tools focused on risk controls, observability, and auditability.
- Mobile monitoring systems for owner visibility and incident response.
- Automation pipelines for research, validation, reporting, and controlled deployment.
- Full-stack products from idea to architecture, backend, frontend, deployment, and operations.
- Safety before automation: critical actions need explicit gates, logs, and rollback paths.
- Evidence over claims: systems should produce artifacts, reports, and reproducible results.
- Operator visibility: every command should show state, result, failure reason, and next action.
- Security by default: secrets stay in environment stores, keychains, or provider-managed vaults.
- Product discipline: the interface should make the important decision obvious.
Languages: TypeScript, Python, JavaScript, Swift, MQL5, Dart
Frontend: Next.js, React, Tailwind, SwiftUI
Backend: Node.js, FastAPI, REST APIs, event-driven services
AI: OpenAI API, LLM workflows, RAG patterns, evaluation loops
Data: PostgreSQL, Supabase, Redis, SQLite, structured logs
Infra: Vercel, GitHub Actions, Docker, launchd/system services
Trading: MT5, MQL5, backtesting, walk-forward validation, risk telemetry
Mobile: iOS, watchOS, mobile bridges, push-style owner alerts- feliciien.github.io - public portfolio and proof page.
- ai-accounting-dashboard - early AI accounting/dashboard work.
- botiqtrade - trading product experiments.
- VoiceGenAI-API - voice/AI API work.
- workfusionappagent - agentic workflow experiments for SaaS automation.
- workfusionappcodeagent - code-agent experiments for AI-assisted product development.
I am most interested in serious builders and operators in:
- AI SaaS products
- trading operations infrastructure
- risk and audit systems
- mobile monitoring and alerting
- production reliability
- secure multi-tenant product architecture
For trading-related work: no guaranteed returns, no public investment offering, and no live credentials or secrets shared without written scope, trust, and strict controls.
- Website: workfusionapp.com
- Portfolio: feliciien.github.io
- GitHub: @feliciien