Selected work & performance case studies.

Client needed to launch a secure cross-platform mobile wallet for peer-to-peer transfers with real-time balance sync. An earlier agency delivered a sluggish, hybrid web-view app that suffered 4-second latency and failed Apple App Store review due to insecure token storage.

Re-architected the app from the ground up in Flutter using Riverpod state management. Implemented hardware-backed Keychain/Keystore token encryption, biometric FaceID/fingerprint guards, and offline SQLite caching. Optimized network payload round-trips to sub-400ms.

Delivered an App Store-compliant release within 24 working days. Zero runtime crashes across 12,000+ monthly active test sessions with 60fps scrolling performance.

Client’s WordPress site took 6.4 seconds to load on mobile 4G networks, scoring 38 on Google PageSpeed Insights. Paid traffic bounce rate exceeded 68%, wasting significant monthly marketing spend.

Migrated the platform to a modern Next.js static site architecture with Tailwind CSS and responsive editorial typography. Re-encoded assets into AVIF/WebP, eliminated blocking JavaScript libraries, and injected comprehensive JSON-LD schemas.

Reduced First Contentful Paint (FCP) to 0.7s and Largest Contentful Paint (LCP) to 1.1s. Mobile bounce rate plummeted from 68% down to 24%, doubling inbound consultation requests within 30 days.

Client’s customer inventory dashboard timed out during peak flash sales. A single database report query locked the orders table for over 9 seconds, causing HTTP 504 gateway timeouts and lost sales.

Profiled the query execution plan using PostgreSQL EXPLAIN ANALYZE. Replaced an inefficient multi-table sequential scan with targeted composite indexes, refactored subqueries, and introduced Redis caching for non-volatile product catalogs.

Query execution time dropped from 9,200ms to 18ms (a 99.8% speedup). Server CPU utilization dropped by 70%, completely eliminating timeout spikes during flash promotions.

Client’s support inbox was overwhelmed by 120+ repetitive daily inquiries regarding shipment status, return policies, and billing clarification, forcing engineers to waste 2 hours daily on manual emails.

Built a custom RAG-grounded AI agent using pgvector embeddings and OpenAI GPT-4o-mini. Grounded answers strictly in client knowledge base documents with zero hallucination tolerance, and implemented an escalation bridge to Slack for complex queries.

Automated 74% of first-line inquiries instantly with high customer satisfaction. Reduced support response time from 4 hours to 12 seconds while running at less than $18/month in LLM token costs.