A distributed legal AI assistant for document query and generation
Concurrent document processing across Go and Python services, with retrieval-augmented generation over legal documents.
- Go + Python concurrent processing services
Logistics and payments for an ecommerce platform in four countries
An ecommerce logistics and payment platform built from scratch, serving two million requests a day across four markets.
We do not publish client names
The problem
The platform needed logistics and payments built from the ground up, capable of absorbing flash-sale traffic spikes and rolling out across four countries at once.
What we built
Java and Spring Boot microservices with REST APIs, integrating third-party logistics and payment providers through API Gateway and Lambda. Kafka carried async event streaming at the core of every transaction flow, with circuit breaking for fault tolerance. Data pipelines fed analytics and recommendation models.
The result
Two million requests a day. The platform absorbed ten times normal traffic during flash sales without degradation, and shipped zero-downtime across four countries simultaneously, with our co-founder leading the engineering effort.
More work
Natural-language analytics over IoT time-series data
An analytics platform that lets operators ask questions of equipment telemetry in plain English.
- ~10,000 records ingested daily
- Plain English querying over time-series data
A payment and order platform sustaining 10,000 transactions per second
Event-driven payment infrastructure on Java and Kafka, holding sub-50ms p99 latency under sustained load.
- 10,000/s transactions sustained
- <50ms p99 latency
Tell us what you are trying to build
Describe the system and the constraint you have hit. You will get a technical reply, not a sales sequence.