Problem

Legacy monolith was hitting 800ms p95 latency under spiky trading load. Failed transactions during peak hours were eroding user trust on a platform handling real money.

Approach

• →Decomposed monolith into Node.js microservices with strict bounded contexts
• →Introduced Redis cache layer + read replicas for hot wallet queries
• →Migrated heavy aggregations to background workers with event-driven retries
• →Added DataDog tracing to surface slow queries before they hit production

Problem

Crypto payroll exists, but transparent on-chain salaries violate every employment privacy norm. Companies wanted Solana speed without exposing employee compensation publicly.

Approach

• →Integrated Token-2022 confidential transfers as the value-layer primitive
• →Wired in Range Protocol ZK proofs for selective disclosure to auditors
• →Built encrypted real-time streaming so salaries vest by the second, not the month
• →Designed a UX flow where employers see aggregates while employees see only their own

Problem

PyTorch models in production were burning GPU budget — 100K+ daily async ops with response times trending up as traffic grew. Naive scale-out wasn't economic.

Approach

• →Profiled hot paths; identified inference, not preprocessing, as the bottleneck
• →Applied dynamic INT8 quantization to transformer backbones
• →Replaced over-parameterized models with smaller distilled variants where accuracy held
• →Moved orchestration to Celery + Redis with priority queues for latency-sensitive jobs