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Data & Backend EngineeringActive R&D

Custom Graph Database Implementation with Rust

An experimental relational engine designed to completely circumvent structural limitations inherent inside rigid SQL logic loops by storing raw data strictly as directional edges and nodes.

Core Technology Stack

Rust
Neo4j patterns
GraphQL

Architectural Constraints

When mapping "friends of friends of friends," traditional SQL architectures require catastrophic cartesian matrices exploding the RAM utilization (N+1 issues).

System Implementation

Established localized pointers between dynamically allocated nodes mathematically mimicking neural architecture, enabling complex depth-first tracking algorithms spanning six-degrees-of-separation seamlessly.

Infrastructure Deep Dive

Built from the ground up in memory-safe Rust. Uses localized adjacency list memory layouts. Queries are mathematically structured to dynamically trace deep structural pathways in O(1) latency per hop.