[● PRODUCTION]
Built at Rapyder Cloud Solutions · AI/ML Engineer
Low-Latency Audio + Text Streaming Pipeline
A real-time streaming pipeline on AWS serving 500+ concurrent users at roughly half the end-to-end processing time of the prior approach.
// overview
A streaming pipeline for real-time audio and text, built on AWS. Events are ingested through Kinesis, processed by Lambda, and delivered back to clients over persistent API Gateway WebSocket connections — tuned to hold up under load from hundreds of concurrent users.
// the problem
Real-time audio and text needed to reach hundreds of concurrent users without the latency and cost of stitching together third-party streaming services. The stack had to run on AWS, where the team already operated, and feel instant under load.
// architecture
01 · ingest
Kinesis
audio + text events
02 · process
Lambda
real-time
03 · deliver
API Gateway
WebSocket
// what i built
- ✓Kinesis Data Streams ingested audio and text events in real time, decoupling producers from downstream processing.
- ✓Lambda functions processed each stream shard, handling the real-time logic without a server to manage or scale manually.
- ✓API Gateway WebSocket APIs delivered results back to connected clients over persistent, bidirectional connections.
- ✓Tuned concurrency and payload handling to serve 500+ simultaneous users at roughly half the prior end-to-end processing time.
// impact
0+
concurrent users served
~0%
lower processing time
// tech stack
PythonAWS KinesisAWS LambdaAPI Gateway (WebSockets)
next project
NL-to-SQL Facility Intelligence Platform