Pro League Project
In DevelopmentAutomation System
Automated sports betting pipeline handling data ingestion, opportunity detection, and scheduled execution.
Open system →Solutions ArchitectMongoDB | AI Systems | Distributed SystemsPython | TypeScript | Node.js | ReactAWS | GCP | Azure
LIVE PRODUCT
Promptalo - AI Prompt Platform & Chrome Extension
Production SaaS with freemium model, Stripe billing, and real-time entitlement system.
- Chrome Extension (Manifest V3)
- Stripe subscriptions + webhook sync
- MongoDB user + entitlement storage
- Rate limiting and usage enforcement
ReactTypeScriptNode.jsMongoDBStripe
Systems & Architecture Work
Promptalo is the live product. The systems below represent engineering work currently in development.
DCRE
In DevelopmentAI Video System
Multi-model AI pipeline for video frame classification across 22 safety categories with explainability layer.
Posting Manager Platform
In DevelopmentMulti-Service Platform
Scalable social publishing system with scheduling, analytics, and media management.
How I Build Systems
- I design systems, not isolated features
- I prioritize scalability and real-time data flows
- I avoid unnecessary complexity (e.g. RAG when not required)
- I optimize for developer velocity and maintainability
- I use AI as an accelerator, while maintaining full architectural control
AI-Assisted Development Workflow
- AI is used to accelerate prototyping and iteration.
- Architecture and system design are fully engineered and validated manually.
- AI supports productivity, not decision-making.
- Focus remains on correctness, scalability, and maintainability.
Tech Stack
Backend
Node.js, Python
Frontend
React, Next.js
Data
MongoDB, MySQL
AI
PyTorch, Transformers, OpenCV
Cloud
AWS, GCP, Azure
DevOps
Docker