SAAS SCALER
For IT SaaS Companies
Scale your SaaS product with confidence. Architecture audit, bounded context identification, and modern data stack implementation for sustainable growth.
Key Features
Architecture audit and assessment
Bounded context identification with DDD
Modern data stack with DBT
Performance optimization
How We Work Together
A proven methodology that delivers results
Discovery
We start with understanding your business, challenges, and goals through workshops and interviews.
Design
Together we design the solution architecture and create a detailed implementation plan.
Deliver
Iterative implementation with regular demos and feedback loops to ensure alignment.
Support
Post-launch support, knowledge transfer, and ongoing optimization recommendations.
Use Cases
- Full architecture assessment and review
- Preparation for 10x growth
- Modern data stack implementation
- Database and API optimization
Ideal For
- SaaS products with $1M+ ARR
- Teams experiencing scaling bottlenecks
- Products with accumulated technical debt
Not Ideal For
- Pre-product market fit startups
- Products without active users
- Hardware-focused businesses
Deliverables
Deliverables
-
01Architecture assessment report
-
02Domain model documentation
-
03Data pipeline implementation
-
04Scaling roadmap
Technology Stack
Timeline
6-10 weeks
Estimated project duration
Related Case Studies
RAG Document Processing System
At Insly, I led development of a RAG (Retrieval-Augmented Generation) system that gives insurance brokers fast, context-aware answers about policy details. The system combines traditional search with vector embeddings to handle complex queries across 23 different insurance providers.
Challenge
Insurance brokers needed to quickly find relevant information across thousands of policy documents from 23 different insurers, each with unique formats and terminology.
Fleet Analytics & Driver Planning Platform
I built a fleet analytics platform for a logistics company managing 300+ trucks and 400+ drivers. The system aggregates data from multiple internal sources—scheduling system (Navigator), HR database, and vehicle registry—to provide unified reporting on driver-vehicle balance, anomaly detection, and operational metrics.
Challenge
Operations data scattered across scheduling system, HR database, and vehicle registry with no unified view of driver availability vs fleet capacity.
Microservices Migration
CloudAcademy needed to migrate their content authorization service from Kotlin to Go as part of a broader standardization effort. I led this migration while ensuring zero downtime and creating new microservices following DDD patterns.
Challenge
Legacy Kotlin service had performance bottlenecks and was difficult to maintain. Team needed to standardize on Go for better consistency across microservices.
Ready to Transform Your Business?
Let's discuss how I can help you achieve your goals. The first consultation is free.