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name: Ahmed M. Diab
role: Senior Software Engineer
focus:
- Backend at scale (Elixir / Go / Python)
- ML / AI for trading & decisioning
- Security research · pentesting · bug bounty
- Telecom (SMPP) infrastructure
since: 2008
github: 2014
shipped: 58 repositories
mode: ⚡ remote-first · global
status: ► open to senior / staff roles |
$ ls -la /core/languages
ELIXIR ▰▰▰▰▰▰▰▰▰▰ prod
PYTHON ▰▰▰▰▰▰▰▰▰▰ prod
TYPESCR ▰▰▰▰▰▰▰▰▰▱ prod
GO ▰▰▰▰▰▰▰▰▱▱ prod
DART ▰▰▰▰▰▰▱▱▱▱ mobile
PHP ▰▰▰▰▰▰▱▱▱▱ legacy
C# ▰▰▰▰▱▱▱▱▱▱ Fuse era |
|
End-to-end SMS routing, from SMPP gateways to multi-tenant carrier dashboards. + SMPP routers in Go / Node / OTP
+ ESMEs for upstream MNO links
+ CPaaS · billing · DLR routing
+ ClickHouse CDR analytics
+ Operator panels for Jasmin/Kannel |
Autonomous trading agents, AI health-tech, LLM-driven analytics. + Live crypto trading agent (Elixir+Python)
+ ML arbiter · 439 symbols · multi-TF
+ HistGradientBoosting + XGBoost
+ AI clinical reasoning platform
+ LLM-powered KPI/résumé analytics |
Reverse engineering as a defensive tool — finding vulnerabilities in mobile apps and web protocols, with full owner consent. + Authorized mobile app pentesting (iOS/Android)
+ Web protocol & API security audits
+ Bug bounty research & responsible disclosure
+ Anti-fraud / anti-abuse hardening
+ Threat-model reviews for fintech & telecom |
|
Production Next.js / React platforms across real-estate, education, events, freelancing — GCC & MENA clients. + Multi-tenant architectures
+ Real-time dashboards (LiveView)
+ Survey/form-builder SaaS
+ Corporate portals & marketplaces |
Cross-platform consumer apps for fitness, automotive, lifestyle. + Real-time data sync
+ Native module integrations
+ Custom auth & secure storage |
Contributions to the Fuse ecosystem, plus utility libraries. + fuse-uploader ⭐ 4
+ fuse-snackbar ⭐ 2
+ fuselibs ⭐ 1
+ Fuse.Firebase |
┌──────────────────────────────────────┐
┌─── Market ──────►│ Elixir/Phoenix · SignalEngine │
│ (439 symbols) │ ┌──────────────────────────────┐ │
│ 1h · 4h · 1d │ │ Strategy Layer (multi) │ │
│ │ ├──────────────────────────────┤ │
│ │ │ ML Arbiter (V3 dual-head) │◄──┼─── Python · scikit-learn
│ │ │ EdgeBoost (conviction tier) │ │ XGBoost · pandas
│ │ │ RiskGuard (hard caps) │ │
│ │ │ ML-Driven Dynamic Exit │ │
│ │ └──────────────────────────────┘ │
│ └────────────────┬─────────────────────┘
│ │
└────── PostgreSQL · Telegram ◄─────┘
(audit · alerts · LiveView ops dashboard)| layer | role |
|---|---|
SignalEngine |
per-symbol scan loop · merges TA + ML predictions |
EdgeBoost |
maps V3 prob/EV → conviction tier (high/mid/low) → size & gate relaxation |
RiskGuard |
non-negotiable safety: daily-loss cap, max trades, per-symbol cooldown |
MLExit |
re-evaluates open positions; bails when edge decays before BE |
