██████╗ ██████╗ ██████╗ ██████╗ ██╗ ██████╗██╗ ██╗
██╔══██╗██╔══██╗██╔═══██╗██╔══██╗██║██╔════╝╚██╗ ██╔╝
██████╔╝██████╔╝██║ ██║██║ ██║██║██║ ███╗╚████╔╝
██╔═══╝ ██╔══██╗██║ ██║██║ ██║██║██║ ██║ ╚██╔╝
██║ ██║ ██║╚██████╔╝██████╔╝██║╚██████╔╝ ██║
╚═╝ ╚═╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═╝ ╚═════╝ ╚═╝
package main
type Engineer struct {
Name string
Location string
Philosophy string
Alias string
Contact string
Role string
}
var prodigy = Engineer{
Name: "Prodigy",
Location: "Nigeria",
Philosophy: "I will win.",
Alias: "Victor James",
Contact: "hello@wasbot.app",
Role: "Backend Software Engineer",
}
var stack = map[string][]string{
"databases": {"PostgreSQL", "MySQL", "Redis", "MinIO"},
"languages": {"Go", "TypeScript", "Python", "JavaScript"},
"messaging": {"WhatsApp API", "Telegram Bot API", "WebSockets"},
"backend": {"Gin", "Next.js", "Express.js", "Telegraf", "Asynq", "BullMQ"},
"devops": {"K8s", "K3s", "Docker", "Traefik", "GitHub Actions"},
}
var currentFocus = []string{
"Payment System Integration",
"Multi-tenant SaaS Platforms",
"High-Availability Messaging",
"Serverless Pod Architectures",
}Performance Optimization
| Area | Expertise |
|---|---|
| Memory | Leak detection, garbage collection tuning, profiling |
| Caching | Redis strategies, cache invalidation, CDN integration |
| Analysis | Load testing, bottleneck identification, benchmarking |
| API | Response time improvements, payload optimization, caching |
| Database | Query optimization, indexing strategies, connection pooling |
System Scaling
| Area | Expertise |
|---|---|
| Load Balancing | Nginx, HAProxy, cloud load balancers |
| Databases | Sharding, replication, read replicas |
| Monitoring | Grafana, Prometheus, alerting pipelines |
| Availability | Failover strategies, health checks, circuit breakers |
| Architecture | Horizontal scaling, microservices, event-driven systems |
Messaging Automation
| Area | Expertise |
|---|---|
| Telegram | Bot development, webhooks, multi-tenant platforms |
| Real-time | WebSocket servers, message queuing, event streaming |
| Scale | Rate limiting, queue processing, concurrent sessions |
| Business automation, bulk messaging, session management |
Backend Development
| Area | Expertise |
|---|---|
| DevOps | Docker, CI/CD, deployment automation |
| Architecture | Clean code, SOLID principles, design patterns |
| Security | Input validation, encryption, secure sessions |
| APIs | REST design, GraphQL, authentication, rate limiting |
WhatsApp automation platform with serverless K8s architecture
url: https://www.wasbot.app
status: Production
arch: Microservices Monorepo (7 services)
stack: [Go, TypeScript, PostgreSQL, Redis, K3s, Traefik]Architecture:
- Serverless WhatsApp Sessions - Worker pods created on-demand per user
- Dual-Server Setup - App server (K3s) + Data server (PostgreSQL/Redis)
- K3s Cluster - API server with RBAC manages pod lifecycle dynamically
- Custom whatsmeow fork - Enhanced with status recipient support
Services:
wasbot-backend- Go/Gin API + dynamic worker podswasbot-frontend- Next.js 15 dashboard with Better Authemail-service-go- Transactional emails via SMTP/Resendaffiliate-system-go- Referral tracking with commission payoutswebhook-router-go- Multi-currency payment routing (Paystack/Flutterwave/Stripe)campaign-service- Email campaign orchestration
Features:
- Google Contacts OAuth integration
- Link preview generation for messages
- Multi-currency: NGN, USD, EUR, GBP, KES, GHS, ZAR
- History sync with MinIO persistence (tier-based limits)
- Cloud status posting (text/media, no phone overheating)
- Cross-posting across multiple WhatsApp accounts
- Admin dashboard with MRR analytics
- Subscription tiers: Trial → Basic → Premium → Pro → Enterprise
Production-ready platform running 100+ tenant bots in single process
status: Production Ready
stack: [Node.js, TypeScript, MySQL, Redis, BullMQ, Telegraf]Architecture:
- Subscription-Aware - Only runs bots with active subscriptions
- Bot Orchestrator - Manages
Map<tenantId, Map<botId, TenantBot>> - Complete Tenant Isolation - Composite PKs, tenant_id FKs on all tables
- MySQL-First Design - Persistent state in DB, Redis for ephemeral cache only
Features:
- Auto-accept system with configurable delays
- Message sequences with rich media + custom buttons
- Smart trigger router (Button → Command → Text priority)
- Broadcast system with delivery tracking
- Variable system:
[name],[user:STAGE], tenant variables - Admin messaging campaigns with priority levels
- Payment integration with auto-renewal reminders
|
WhatsApp Web API for Node.js
|
WhatsApp Web API for Go
|
Languages
Backend
Databases & Storage
DevOps & Cloud
Tools & Queues
+ Advanced distributed systems patterns
+ Event sourcing & CQRS architectures
+ gRPC for inter-service communication
+ Advanced PostgreSQL (partitioning, JSONB)
+ Observability at scale (OpenTelemetry)"I will win."
Not just a statement—a commitment to solving hard problems and building systems that scale.
| Principle | Description |
|---|---|
| Optimize first, scale second | Make it fast before making it big |
| Measure everything | You can't improve what you don't measure |
| Pragmatic solutions | Right tool for the job, not the newest |
| Ship iteratively | Perfect is the enemy of done |
| Learn from failures | Every bug is a lesson |
[+] Built serverless WhatsApp platform with K8s pod-per-session architecture
[+] Designed multi-tenant Telegram SaaS handling 100+ bots in single process
[+] Implemented multi-currency payment systems (7 currencies, 3 processors)
[+] Created microservices monorepo with 7 Go/Node.js services
[+] Set up K3s clusters with Traefik ingress and automatic TLS
[+] Built affiliate systems with commission tracking and payouts
Focus Areas: Kubernetes Multi-tenant SaaS Payment Integration Messaging Automation Microservices
| Service | Description |
|---|---|
| Backend Development | APIs, microservices, system architecture |
| Performance Consulting | Optimization, profiling, bottleneck analysis |
| Scaling Solutions | High-availability, load balancing, distributed systems |
| Messaging Automation | WhatsApp/Telegram bots, real-time systems |
| Code Reviews | Architecture feedback, best practices |
╔═══════════════════════════════════════════════════════════════╗
║ Building fast, scalable systems one optimization at a time ║
╚═══════════════════════════════════════════════════════════════╝