Selected Work

A sampling of past projects led by founder Christos Tsiokos prior to the formation of Oakbridge Systems. These illustrate the scale and type of challenges we address. Details are generalized to respect confidentiality.

Performance Optimization

Trillion-Event Security Analytics Platform

The Challenge

A major cybersecurity company's analytics platform was experiencing escalating infrastructure costs and performance limitations as data volumes grew. The system processed security telemetry at massive scale but was approaching the limits of its architecture.

The Approach

Led comprehensive performance analysis across the distributed data pipeline — from ingestion through processing to storage. Identified inefficiencies in serialization, caching strategies, and resource utilization. Implemented targeted optimizations while maintaining system stability.

The Results

  • Multi-million dollar annual infrastructure cost reduction
  • Significant throughput improvements without architectural overhaul
  • Sustained performance at over one trillion events per day across 40,000+ nodes
Architecture Design

AI Platform Data Infrastructure

The Challenge

An AI company needed to build core data infrastructure for their platform — requiring real-time data ingestion, processing, and serving capabilities that could scale with rapid business growth.

The Approach

Designed and implemented backend architecture for the platform's data pipelines, including a novel distributed streaming service. Focused on building systems that could evolve with changing product requirements while maintaining performance at scale.

The Results

  • Scalable data infrastructure supporting platform growth
  • Real-time processing capabilities for ML model serving
  • Architecture that accommodated rapid product iteration
Scalability

SaaS Analytics Platform Optimization

The Challenge

A behavioral analytics SaaS platform serving Fortune 500 clients was experiencing latency issues and scaling limitations as their customer base grew. The system processed billions of user interactions but needed to do so faster and more efficiently.

The Approach

Conducted systematic performance profiling to identify bottlenecks. Redesigned data processing workflows and caching strategies. Implemented changes incrementally to minimize disruption to production systems.

The Results

  • Reduced query latency enabling better user experience
  • Improved system capacity to handle customer growth
  • Lower infrastructure costs per customer
Regulated Industry

FDA-Regulated Medical Device Software

The Challenge

A medical device company was developing a next-generation respiratory ventilator for intensive care units, supporting both infant and adult patients. The embedded software required real-time performance and compliance with ISO standards for medical device development.

The Approach

Led critical embedded software development, including the persistent storage system and a real-time GUI framework for clinical waveform visualization. Collaborated with cross-functional teams to develop ISO-compliant product specifications.

The Results

  • 8× improvement in persistent storage performance
  • Real-time visualization framework for clinical monitoring
  • ISO-compliant specifications and documentation
Real-Time Systems

Distributed Facial Recognition Platform

The Challenge

A computer vision company needed a distributed backend system for real-time facial recognition that could process video streams with strict latency requirements.

The Approach

Designed fault-tolerant distributed architecture optimized for low-latency processing. Implemented efficient data routing and load balancing to ensure consistent performance. Built monitoring and alerting for real-time visibility.

The Results

  • Consistent sub-300ms identification latency
  • Fault-tolerant design with graceful degradation
  • Scalable architecture supporting multiple concurrent video streams

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