Founder and AI engineer building Workfusionapp, BoltIQ Trade, and risk-first automation systems for MT4/MT5 builders and trading operations.
My work sits at the intersection of AI-assisted developer tools, full-stack SaaS, trading infrastructure, risk controls, and operator-grade telemetry.
| Product | Public Positioning | Focus |
|---|---|---|
| Workfusionapp | AI-assisted MT4/MT5 workspace for EA drafting, compiler diagnostics, readiness checks, project storage, and subscription workflows. | SaaS, MQL tooling, AI-assisted development |
| BoltIQ Trade | MT5 trading operations infrastructure focused on validation, telemetry, risk controls, and audit logs. | Execution safety, drawdown discipline, monitoring |
| Boltiq Capital | Founder vehicle for systematic trading infrastructure, governance, and operating discipline. | Risk governance, research process, investor-grade documentation |
| Portfolio | Public proof page for selected products, engineering work, and founder notes. | Product storytelling, public evidence |
- AI-assisted SaaS products with real user workflows, billing, accounts, and operational reporting.
- MT4/MT5 and MQL tooling for cleaner EA drafts, compiler-error debugging, and manual testing preparation.
- Trading operations systems centered on risk limits, observability, audit trails, and owner control.
- Automation pipelines for research, validation, growth reporting, and controlled deployment.
- Full-stack products from product strategy to backend, frontend, deployment, and operations.
- Evidence over claims: public work should be backed by artifacts, tests, reports, or reproducible systems.
- Risk before scale: automation needs explicit gates, logs, rollback paths, and human override points.
- Operator visibility: dashboards should make status, failure reason, and next action obvious.
- Security by default: secrets belong in environment stores, keychains, or provider-managed vaults.
- No performance hype: trading infrastructure is presented as engineering and governance work, not a promise of returns.
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, MQL4/MQL5, backtesting, validation, risk telemetry
Mobile: iOS, watchOS, mobile bridges, owner alerts- feliciien.github.io - portfolio and public proof page.
- botiqtrade - trading product and operations experiments.
- ai-accounting-dashboard - early AI accounting and dashboard work.
- VoiceGenAI-API - AI voice generation API experiments.
- multilingual-meeting-enhancer - multilingual AI meeting tooling.
I am most interested in serious builders and operators working on:
- AI SaaS products
- MT4/MT5 developer tooling
- trading operations infrastructure
- risk and audit systems
- secure multi-tenant product architecture
- mobile monitoring and alerting
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.
- Workfusionapp: workfusionapp.com
- Portfolio: feliciien.github.io
- GitHub: @feliciien