About

Rahul Kavale

Lead Software Engineer | Distributed Systems | LLM & AI Engineering

With over 12 years of experience in Software engineering, I specialize in building high-performance, distributed systems that scale seamlessly. I architect and implement solutions that process hundreds of requests per second with optimized latency and fault tolerance.

What I Do

My expertise spans across:

Idea to implementation: I have built multiple systems right from idea to production
Distributed Systems Engineering: Designing scalable architectures handling 500+ RPS with 99.98% uptime
AI/LLM Integration: Building conversational AI frameworks with sophisticated guardrails and safety protocols
Stream Processing: Implementing event-driven architectures for high-throughput data processing

Technical Skills

My toolkit includes Python, Java, Go, TypeScript, and expertise in database technologies like PostgreSQL, MongoDB, Redis, and DynamoDB. I’m proficient with frameworks such as FastAPI, Spring, Kubernetes, and have extensive experience with event processing systems like Kafka and RabbitMQ.

Recent Projects

PriceGPT: An LLM-powered recommendation engine that featured on Product Hunt
Unsurvey: A distributed, real-time voice-call system supporting 100K+ concurrent sessions
Corrily Pricing Engine: A high-throughput pricing computation platform with 100ms P95 latency

Open Source Contributions

I’m passionate about giving back to the developer community through open-source projects:

Akar: A high-performance pattern-matching library for Clojure
Spring-raml plugin: A Maven plugin for integrating RAML API specifications with Spring

Let’s Connect

I’m always interested in discussing distributed systems, performance optimization, and AI engineering. Feel free to reach out: