BOLUWATIFE DAVID ADANLA

Owned and optimized end-to-end workflow automation, building n8n-driven pipelines that captured leads and automated client communication, resulting in an 80% reduction in manual feedback and follow-up work.

Architected and self-hosted robust automation infrastructure on a VPS using Docker, implementing CI/CD pipelines for reliable and repeatable deployment of workflow changes.

Developed client-facing WordPress websites as top-of-funnel entry points, integrating GoHighLevel CRM to capture, tag, and route leads into automated n8n communication sequences.

Designed and implemented a comprehensive lead-to-client data flow, providing leadership with direct visibility into client relationships and structured retention insights for the first time.

Resolved critical integration failures between WordPress and GoHighLevel, debugging webhook/API misconfigurations and field mapping mismatches to ensure seamless lead capture and synchronization.

Bridged technical and business stakeholders, translating client retention and communication goals into automated, self-hosted workflow infrastructure.

Led end-to-end implementation of an AI-powered document processing pipeline, integrating Amazon Textract (OCR) and LangChain into a Spring Boot backend, reducing the EDI specialist's manual processing loop by over 70%.

Designed n8n workflows for orchestrating document ingestion, OCR processing, and data routing, minimizing manual handoffs and providing non-technical stakeholders with pipeline status visibility.

Owned the AI feature lifecycle from requirements gathering with supply-chain stakeholders to production deployment, including orchestration approach selection (LangChain + n8n) and iterative feedback-based refinement.

Designed and shipped RESTful APIs for document upload, OCR status tracking, and EDI data retrieval, effectively connecting the automated workflow layer to backend services and databases.

Translated complex, ambiguous real-world document formats into standardized EDI transformation logic, bridging raw business input with structured system output.

Collaborated with backend engineering and DevOps to integrate the AI/automation stack across storage, queues, and databases, supporting provisioning, monitoring, and deployment across environments.

Delivered the initial MVP for AI implementation and extended impact by leading mobile development for the client-facing interface consuming the pipeline.

Contributed to building a custom ERP/SFA system, integrating the mobile app via RESTful APIs to enable real-time auto-syncing inventory and establish a single source of truth for internal operations.

Implemented automation within core ERP workflows, significantly reducing manual data handling for internal operations and laying groundwork for future workflow-automation specialization.

Engineered NFC Tap-to-Pay functionality by integrating native Android APIs (Java, Kotlin), reducing transaction errors by 30% and positioning the app as a secure payment solution.

Led the architectural consolidation of three separate applications (Agent, Merchant, User) into a single unified codebase, collaborating with the lead developer on module structure, state management, and data caching.

Integrated ML-based liveness detection and EMVCo standard QR payment support, strengthening fraud prevention and KYC/AML compliance while extending cross-platform interoperability.

Designed and built a responsive, cross-platform mobile app using Flutter and Dart, architecting the app state and structure with Riverpod for performance and scalability.

Integrated RESTful APIs with secure authentication and data exchange, collaborating with product, design, and backend engineering to ship a production-ready solution.

Led Agile development practices, including Git, code review, performance profiling, and debugging, which culminated in building the MVP that helped secure $5,000 in funding.

Contributed to a cross-platform financial services app using React Native under senior engineering guidance, translating UI/UX designs into responsive interfaces.

Assisted in identifying and resolving performance bottlenecks, improving app load times and runtime efficiency based on senior engineer feedback.