Software Engineer | Applied AI

github

Vilas Gannaram • Peerlist

Built a Chrome extension in TypeScript, Svelte, and Vite Bundler that enables instant gene lookup via text selection, displaying contextual metadata through the Chrome Extensions API Built an ETL pipeline (Node.js) to merge HGNC gene data with Ensembl REST API enrichment (genomic coordinates, biotype, description) via rate-limited batch requests, indexing the output by gene symbol for instant client-side lookups with no runtime API calls

GeneLens | Chrome Extension

Designed & built a full-stack URL shortener in Go using Chi, PostgreSQL, and Redis (cache-aside pattern), with server-side rendered homepage via Go templates. Load-tested with k6 at 100 concurrent users (10k requests): 0% error rate, ~260ms median / ~339ms p95 latency, 362 req/s on a Render free-tier instance (0.1 vCPU, 512 MB RAM).