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Kuboid - AI Automation & Fractional CTO
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[ PROVEN TRACK RECORD & CASE STUDIES ]

Real systems. Defensible engineering results.

We don't sell hypothetical AI promises. Here is how our technical leadership and engineering architecture solved high-stakes operational bottlenecks across startups and enterprises.

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7.0s → 0.5s
Page Load Speedup (Token Metrics)
50% Cut
Cloud Infrastructure Costs
4 wks → 1 wk
Test Automation Cycle (Change Healthcare)
Millions/Day
Message Queue Scalability
[ SELECTED ENGAGEMENTS ]

In-depth breakdowns of real technical solutions.

[ CASE STUDY 01 • Web3 & Crypto Analytics Platform ]

Token Metrics

7.0s → 0.5s
Page Load Reduction (14x Speedup)

Rebuilt core cryptocurrency analytics platform on Next.js and AWS, scaling to thousands of concurrent users while increasing team deployment frequency by 40%.

The Bottleneck / Problem

The legacy crypto analytics dashboard suffered from 7-second page load times and heavy backend query bottlenecks during high-volatility market events. An outsourced vendor had also stalled on delivering the critical Astrobot Society NFT minting portal.

The Architectural Solution

Re-architected the frontend application using Next.js with server-side caching and dynamic client hydration. Optimized cloud infrastructure across AWS and GCP, restructured Snowflake and Supabase data queries, and rescued the Web3 token-gated minting portal in under 7 business days.

[ MEASURABLE OUTCOMES ]
  • ✓Reduced dashboard page load times from 7.0 seconds to 0.5 seconds
  • ✓Increased deployment frequency by 40% across a 15-person engineering team
  • ✓Rescued and delivered the Astrobot Society Web3 token-gated minting platform in under 1 week
  • ✓Stabilized high-volume live market data ingestion pipelines
#Next.js#AWS#Snowflake#Supabase#Web3#Team Leadership
[ CASE STUDY 02 • Cloud Infrastructure & High-Volume Operations ]

Enterprise InsurTech & FinTech

50%
Monthly Cloud Infrastructure Cost Reduction

Comprehensive multi-cloud infrastructure right-sizing, query optimization, and serverless re-platforming for high-volume financial data workloads.

The Bottleneck / Problem

Rapid product iterations led to multi-cloud infrastructure bloat across AWS and GCP, over-provisioned database instances, and inefficient data processing jobs driving up monthly operating overhead.

The Architectural Solution

Audited existing cloud architecture, identified idle compute clusters, right-sized managed database tiers, implemented automated lifecycle management for ephemeral resources, and optimized high-frequency queries.

[ MEASURABLE OUTCOMES ]
  • ✓Cut monthly cloud operating expenses by 50% without performance degradation
  • ✓Eliminated redundant cloud compute instances and unattached storage volumes
  • ✓Established automated cost-governance guardrails and usage alerts
  • ✓Improved query response times for critical real-time financial reporting
#AWS#GCP#Cloud Architecture#FinTech#Cost Optimization
[ CASE STUDY 03 • Mission-Critical Healthcare Platforms ]

Change Healthcare / Medical Imaging

4 wks → 1 wk
Regression Testing Cycle (75% Time Reduction)

Architected end-to-end automated testing pipelines for mission-critical medical imaging platform, slashing manual release validation cycles from 4 weeks to 1 week.

The Bottleneck / Problem

Manual testing and regression cycles for enterprise medical imaging software took 4 full weeks per release, creating severe deployment bottlenecks and increasing the risk of regressions in clinical environments.

The Architectural Solution

Led the QA and automation team embedded with Change Healthcare to build a comprehensive automated testing framework using Cypress, Playwright, TestCafe, and JMeter for cross-browser, multi-device, and API load testing.

[ MEASURABLE OUTCOMES ]
  • ✓Compressed manual regression testing cycle from 4 weeks down to 1 week (75% reduction)
  • ✓Automated cross-browser and mobile device compatibility verification
  • ✓Implemented automated API performance benchmarks ensuring strict backend SLA compliance
  • ✓Unblocked continuous release cycles for healthcare provider customers
#Playwright#Cypress#JMeter#Test Automation#Healthcare Systems
[ CASE STUDY 04 • High-Throughput Email Marketing Infrastructure ]

Contaqt.nl

Millions/Day
Reliable Asynchronous Message Processing

Re-architected email dispatch pipelines with AMQP and RabbitMQ message broker infrastructure to process millions of messages daily without pipeline deadlocks.

The Bottleneck / Problem

Synchronous email dispatch jobs blocked application threads during peak send bursts, resulting in dropped connections, message delivery delays, and lack of visibility into failed dispatches.

The Architectural Solution

Decoupled the ingestion API from delivery workers using RabbitMQ and AMQP. Built automated exponential backoff retries, dead-letter queues for delivery failures, and worker pool scaling.

[ MEASURABLE OUTCOMES ]
  • ✓Scaled infrastructure to reliably process millions of daily email transactions
  • ✓Eliminated queue deadlocks and connection dropouts during peak send spikes
  • ✓Provided real-time telemetry into delivery success, bounce rates, and queue latency
  • ✓Zero message loss architecture with isolated dead-letter recovery
#RabbitMQ#AMQP#Node.js#Distributed Queues#Scalability
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