Case Studies

Work that speaks for itself

Real engineering problems. Real outcomes. No slides, just results.

Fintech · Backend Engineering · 2024

Rebuilding a payment system for 2M+ daily transactions

NexVault
10×
Throughput increase
38ms
p99 API latency
62%
Cost reduction

The Problem

NexVault had a 6-year-old monolithic payment processor written in legacy Java. As transaction volume grew 8× over two years, the system became a bottleneck — causing 400ms+ API latencies, frequent timeout incidents, and an on-call team that dreaded Mondays.

Our Solution

We migrated the core transaction engine to an event-driven microservices architecture using Go and Kafka, with a PostgreSQL + Redis hybrid for state management. The migration was done zero-downtime using the strangler fig pattern over 14 weeks.

The Outcome

The new system processes 2.3M transactions per day with a p99 latency of 38ms — a 10× improvement. Infrastructure costs dropped 62% due to more efficient resource utilization. The on-call load reduced by 80%.

GoKafkaPostgreSQLRedisKubernetesAWS
AI/ML · Infrastructure · 2024

LLM inference platform for 500K daily users

Orbis AI
500K
Daily users served
<120ms
End-to-end p99
3 min
Model deploy time

The Problem

Orbis AI, a content intelligence startup, needed to serve their custom fine-tuned LLM to a fast-growing user base. Their prototype was running on a single GPU instance — already at 92% capacity — with no autoscaling, no caching, and no observability.

Our Solution

We architected a multi-GPU inference cluster using NVIDIA Triton Inference Server behind an intelligent routing layer. We implemented KV-cache warm-up, prompt caching for repeated queries, and a real-time load balancer that routes by model variant and regional latency.

The Outcome

The platform now handles 500K+ daily active users with sub-120ms p99 end-to-end latency. GPU utilization is optimized to 70% average with burst capacity. The team can deploy new model versions in under 3 minutes with full rollback capability.

PythonTritonKubernetesNVIDIA A100LangChainGCP
SaaS · Cloud Infrastructure · 2023

Multi-tenant SaaS platform for 3,000+ business accounts

CloudForm
3,000+
Business accounts
45 sec
Customer provisioning
99.98%
18-month uptime

The Problem

CloudForm needed to transition from a single-tenant architecture to a scalable multi-tenant model to onboard enterprise accounts. Their existing architecture couldn't isolate tenant data, had no per-tenant rate limiting, and required manual provisioning for each new customer.

Our Solution

We designed a pool-based multi-tenancy model with Row-Level Security in PostgreSQL, automated tenant provisioning via Terraform, and a Stripe-integrated billing system. The entire platform runs across 3 AWS regions with active-active replication.

The Outcome

CloudForm onboarded 3,000+ business accounts within 6 months of launch. The automated provisioning reduced new-customer setup from 4 hours to 45 seconds. The platform maintains 99.98% uptime across 18 months of operation.

Node.jsPostgreSQLTerraformAWSStripeRedis

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