CASE STUDIES
Every system listed here is live in production. Real architecture, real constraints, hard numbers. 37+ systems across AI, data engineering, infrastructure, platforms, and real-time processing.
NEXT STEPS
Custom software, AI, and data infrastructure. Fixed scope, full IP transfer. Most projects ship in under two weeks.
We launched a multi-tenant market intelligence SaaS serving computed signals from 425M rows, with all API routes under 500ms cold and unit economics positive from customer one.
425M+ ClickHouse rows at launch
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We debugged 65 compounding bugs across seven subsystems of a live trading engine, fixed a score overflow that silently blocked all dark_matter_rs signals, and cut Redis memory from 11.8GB to 7.15GB.
65 Bugs fixed in one session
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We built a retail investor dashboard serving live fund performance from a paper trading account, with compliance banners enforced as server-side dependencies and JavaScript bundle under 120KB.
7 Pages built and deployed
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We built a 90-inbox Google Workspace cold email system using Maildoso + Smartlead warmup, capable of 3,600 sends per day at 92 to 95% inbox placement for $369/month.
90 GWS inboxes
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We built a campaign orchestration system managing 4-touch email, 3-touch LinkedIn, 2-touch Twitter, and social listening in a single PostgreSQL state machine, targeting 20-minute daily operator review.
1,000+ Daily touch capacity
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We built a zero-dependency booking engine that prevents race-condition double-bookings by re-validating slot availability at click time against live Google Calendar and ClickHouse state.
<800ms Slot generation time (cold)
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We built a single-user operator analytics dashboard on ClickHouse that assembles 9 parallel queries in under 450ms, with SVG-native charts and no third-party analytics dependency.
280-450ms API response time (9 queries)
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We built a 3-step onboarding wizard that shows live regime signals on users' selected assets during signup, eliminating the blank-dashboard activation gap and placing the upgrade prompt at peak intent.
<1.2 sec Intelligence fetch time (16 symbols)
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We built a crypto screener that computes 52-week highs, 30-day returns, and volume rankings for 19,172 symbols from 87M rows in a single ClickHouse GROUP BY scan returning in under 420ms.
19,172 Symbols in screener
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We built an intelligence API that serves regime, novelty, and correlation data for any of 19,172 symbols in under 120ms using pipeline-batched Redis fetches and a two-round-trip pattern.
<120ms Cache hit latency
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