Real-world engineering challenges with documented solutions. Select a domain to explore.
Developers are killing it on GitHub but invisible on LinkedIn—crafting engaging posts takes hours, and consistency is nearly impossible.
Built an AI-powered bot that scans GitHub activity, auto-generates professional posts via Groq LLM, and publishes directly to LinkedIn with scheduling and analytics.
Every new microservice was reinventing authentication—scattered JWT logic, inconsistent password policies, and zero visibility into access patterns.
Engineered a centralized auth microservice with enterprise-grade security: RBAC, JWT with refresh tokens, and full audit logging—reusable across the entire platform.
Critical system events were vanishing into the void—no reliable delivery, no retry on failure, and zero observability into what was happening under the hood.
Designed an event-driven pipeline with Redis Streams, circuit breakers, dead-letter queues, and Prometheus/Grafana dashboards for real-time observability.
Support teams were drowning—tickets manually routed, SLAs missed in silence, and no way to isolate data between tenants without security nightmares.
Built a multi-tenant SaaS with row-level security, AI-powered ticket routing, sentiment analysis, and automated SLA breach detection with escalation workflows.
Naive balance updates were bleeding money—race conditions enabled double-spending, and direct mutations made forensic accounting impossible.
Implemented double-entry bookkeeping with append-only ledger entries, optimistic locking, and ACID-compliant transactions—every cent is traceable and immutable.
APIs were getting hammered by bots and bad actors—no rate limiting, no abuse detection, and a single flood could take down the entire service.
Built middleware with fixed-window and sliding-window rate limiting via Redis, per-user/IP policies, and automatic abuse pattern detection with graceful throttling.