At Koneksys, I worked on Tracelynx, an enterprise traceability platform that connects engineering artifacts across multiple tools. When a customer reports a bug, you can trace it back through Jira stories → GitLab commits → Jenkins builds → deployments. I took ownership of the backend architecture using graph databases to model complex relationships between artifacts across platforms.
How I Built My Skills:
Cross-Platform Artifact Traceability Platform
When a customer reports a bug, you need to trace it back through the entire engineering pipeline. Which story? Which code changes? Which tests? Which deployment? I built the graph database system that captured these relationships across multiple platforms.
PythonFlaskNeo4jCypherPostgreSQLApache AGE
Technical Impact:
Designed complex graph schemas to model semantic relationships like 'implemented_by', 'tested_by', 'blocks', 'covers' across heterogeneous systems. Built Cypher queries for multi-hop traversals and path filtering. Successfully migrated from Neo4j to PostgreSQL/Apache AGE to reduce licensing costs.
Enterprise Multi-Tenant Authentication
Built authentication system supporting multiple tenants with complete data isolation. Each company needed custom RBAC, SSO integration, audit trails. The complexity was balancing security with performance.
PythonFlaskPostgreSQLJWTOAuth2SAMLRedis
Technical Impact:
Built enterprise-grade authentication scaled to support multiple tenants with zero security incidents. Implemented PostgreSQL row-level security policies for data isolation, Redis-based JWT token caching, and comprehensive audit logging. Integrated multiple SSO protocols (SAML, OAuth2, custom) while maintaining session consistency across subdomains.
High-Performance API Infrastructure
Built RESTful endpoints optimized for complex graph queries. Created caching layers, query optimization strategies, and data verification workflows.
PythonFlask-RESTXPostgreSQLRedisElasticsearch
Technical Impact:
Built RESTful endpoints handling complex graph queries across many nodes. Implemented intelligent caching with topology-aware invalidation, custom Flask decorators for performance monitoring, and conflict resolution algorithms for handling inconsistent data across multiple systems. Created comprehensive API documentation with automated testing endpoints.
Built Tracelynx backend from scratch
Successfully migrated from Neo4j to PostgreSQL/Apache AGE
Built multi-tenant auth system
Designed APIs that could handle complex graph queries at enterprise scale
Skills & Experience Gained: Mastered advanced backend architecture including graph databases, enterprise security, and complex system integrations. Developed expertise in Neo4j/Cypher, PostgreSQL optimization, multi-tenant architecture, and API design at scale. Gained strong skills in system migration, cost optimization, and building resilient enterprise software. This role solidified my transition to senior engineering, focusing on architecture decisions that prevent problems rather than just solving them.