Abhiraj Damodare

I am a Full Stack Engineer with production experience building AI-powered SaaS platforms and developer infrastructure, focused on backend systems at scale. I’ve led development of enterprise features including cloud storage, real-time notifications, and centralized search.

At ModelSuite.ai I shipped cloud storage on Cloudflare R2 with versioning and access control, implemented a Meilisearch-based centralized search with 60% faster retrieval, and built a WebSocket real-time notification system. I recently expanded into Rust and observability work, delivering Prometheus/Grafana integrations.

I built OllamaGateway, a high-performance LLM caching gateway that exposed Prometheus metrics and achieved up to 2000x faster responses on cache hits, and shipped it as a production-ready Docker Compose deployment. I’m currently building a RAG-powered log intelligence system using ClickHouse, Qdrant, NATS, and vector embeddings to enable semantic search and root cause analysis.

I value high-throughput, observable systems and enjoy solving infrastructure challenges for AI and backend applications. I’m looking for backend, infrastructure, or AI engineering roles where I can build systems that operate reliably at scale.