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We Are Engineers
Our Engineering Divisions
AI Systems & Orchestration
> Agentic systems with observability. Built-in failure modes, automated recovery, audit trails. Designed for 10-year evolution.
Cybersecurity Intelligence
> Fraud detection at scale with real-time adaptation. GNN architectures that improve with threat complexity.
Quantitative Engineering
> Trading systems with deterministic risk models. Backtested against 50 years of market data. Production-grade execution.
Featured Projects
Problem: data scattered, reporting manual. Built: RAG pipeline with real-time vector indexing. Impact: 80% faster queries, self-service analytics at scale.
Challenge: How to make 10 years of sales data queryable in natural language
Problem: fraud patterns evolve faster than rules. Built: GNN learning transaction graphs in real-time. Impact: 92% precision, 60% less manual review.
Challenge: Detect fraud at 1M+ TPS without false positive cascade
Problem: market makers need millisecond execution. Built: C++ order routing with 5ms latency guarantee. Impact: sustained profitability in live markets.
Challenge: Microsecond precision trading with sub-10ms total latency
Problem: food service efficiency needs real-time monitoring. Built: edge computer vision with offline capability. Impact: 30% faster service, predictive bottlenecks.
Challenge: Real-time image processing on ARM devices, no cloud dependency
Our Technology Stack
| 1 | const backend = ['Python', 'C', 'Java', 'Go', 'Rust'];,const aiStack = ['PyTorch', 'LangChain', 'CrewAI', 'Ollama'];,const frontend = ['Next.js', 'React', 'TypeScript', 'Flutter'];,const automation = ['PLC', 'ROS', 'Modbus', 'OPC-UA', 'Embedded C'];,const infrastructure = ['AWS', 'Docker', 'Linux', 'Kubernetes'];,const dataStack = ['PostgreSQL', 'Redis', 'Kafka', 'SQLite']; |