Experiences

Developed a 2-level cache with Caffeine and Redis to reduce bottlenecks and direct memory overhead.
Built a mock analytics data store using Spring bean injection at startup simplifying integration testing.
Optimized large SQL queries by batching and parallelising up to 1M IDs, reducing DB contention and latency.
Designed and maintained a multi-level affiliate rebate system powering user acquisition, enabling granular rebate rate control for invitees and sub-affiliates as part of the Growth team.

Automated ingestion and parsing of data for ~90 startups from Google Sheets into MongoDB using Python.
Engineered an equity management engine from scratch to compute real-time ownership across loans, SAFEs, equity, convertibles, ESOPs, and advisory shares, with an auditable changelog for manual overrides.
Developed a WebSocket-based entity name suggestor, streaming live completions for instant feedback.
Optimised landing page performance by preloading hero videos and batching company card data fetches, reducing load times from 4–5s to ~1s and improving perceived performance.

Applied Factory and Singleton patterns in Go to modularise region-specific whitelist logic, enabling easy extensibility and cleaner reuse by encapsulating differences in whitelist data and behaviour.
Enhanced a permissions approval tool with configuration-based rules and a string boolean expression builder.
Exposed endpoints for automated approval, commenting, and rejection of 58,000+ tickets with cron jobs.
Optimised read-intensive workflows by parallelising independent fetch operations with Goroutines and aggregating results into a unified response, achieving a 10x reduction in execution time.