About Me

Architected and delivered the SAP–Coveo AI-powered enterprise search integration, automating the ingestion, transformation and real-time indexing of SAP product data into the Coveo platform at scale. Designed high-throughput ETL pipelines with fault-tolerant processing and automated retry logic, cutting manual data-sync overhead to near zero. Defined service boundaries, observability contracts and quality gates across the microservices layer. Automated delivery workflows via Kubernetes/Helm-based GitOps pipelines, enforcing automated test coverage thresholds and security scans as mandatory gates before every release. Drove measurable improvements in indexing throughput, system reliability and deployment frequency.

Built a data platform that auto-generates an optimized knowledge graph from heterogeneous R&D sources, enabling scientific teams to surface insights without manual data reconciliation. Implemented automated ingestion pipelines that transformed, deduplicated and persisted entities and relationships into Neo4j and AWS-hosted stores with no manual intervention per dataset update. Delivered RESTful APIs and React-based graph-exploration UIs that reduced analyst query latency and replaced ad-hoc data requests. Applied automated test coverage and code quality gates across the microservices layer, ensuring resilience patterns and security controls were enforced at the pipeline level rather than by convention.

Designed and delivered a multi-tenant dropshipping automation platform connecting wholesalers with Shopify stores. Automated near real-time stock synchronization across multiple providers, eliminating manual inventory reconciliation and enabling zero-touch order routing from retail purchase to fulfillment trigger. Implemented automated product ingestion pipelines — scraping, normalisation and catalogue publishing — that scaled provider onboarding from days to hours. Established automated testing strategy, coding standards and quality gates that kept defect escape rate low while sustaining rapid feature throughput across the full-stack team.

Delivered backend modules and frontend components for a high-security electronic document management platform spanning mining, accounting, storage and logistics operations. Automated document workflow orchestration and access-control enforcement within a proprietary framework under strict compliance requirements. Extended and hardened the internal framework: improved processing throughput, plugged security gaps and increased extensibility so future workflows could be onboarded without framework changes. Applied automated testing and iterative quality gates to keep defect rates low across a large, multi-team codebase.

Built automated monitoring, ingestion and analysis systems for large-scale public media, web and social-network data. Designed and implemented crawlers and ingestion pipelines that continuously harvested, deduplicated and structured high-volume text datasets — replacing manual collection with fully automated throughput at scale. Delivered search and retrieval services, backend processing engines and later web-accessible analytical interfaces (JavaScript / Node.js / Angular), expanding analyst reach without additional manual tooling. Optimised relational and document database schemas for high-volume query workloads, sustaining performance as dataset sizes grew by orders of magnitude.

Developed real-time ship management and monitoring systems — including automated life-support monitoring, radar data processing and algorithmic decision support for collision avoidance — where correct automated response directly impacts safety outcomes. Contributed to hardware-software complexes for modelling and simulating destructive impacts on telecommunications infrastructure, implementing automated data capture, processing pipelines and analytical output. Designed for high reliability and deterministic behaviour under adversarial conditions, with formal documentation produced to GOST 2.* / 19.* standards.