Luke
Full Stack Software Engineer | Platform Delivery | 10+ Years Experience
Summary
Technical Expertise
Languages
Frontend
Backend
Cloud/DevOps
Databases
GIS/Mapping
HL7/Medical
ML/Data
Testing
Methodologies
Work Experience
Deliver end-to-end platform features across a multi-repository enterprise SaaS environment, working across React/TypeScript frontends, ASP.NET Core services, PostgreSQL/data warehouse schemas, API gateway configuration, data pipelines, Docker build pipelines, and Azure DevOps PR workflows.
- Delivered features across UI, APIs, services, database migrations, data models, pipelines, and configuration in the correct owner repositories.
- Built and maintained Inventory, Carbon, Data Quality Indicators, Activity Log, Organisation Settings, Process Creation, and feature-flagged platform modules.
- Implemented backend APIs and service logic for inventory rule reconciliation, activity retrieval, data quality definitions, organisation and account configuration, and source/rule matching.
- Integrated feature flags and entitlement controls for Carbon Calculation, Collect PDF Ingestion, process creation, and account/module subscription workflows.
- Improved auditability and operational reliability through Activity Log enhancements, RBAC fixes, migration scripts, seed data, index validation, and build/dependency maintenance.
- Diagnosed cross-cutting issues by tracing UI symptoms through API responses, service logic, database state, data pipelines, and git history.
Delivered a water-meter field operations platform across two production mobile apps, a web admin portal, backend APIs, data storage, and photo-based meter reading. Both mobile apps were released to the Apple App Store and Google Play.
Key Projects
Cross-platform field operations app with GIS integration, real-time synchronization, and offline-first architecture
Full-stack solution with ASP.NET Core backend, Next.js admin portal, and React Native mobile app for automated meter reading
Photo-based recognition workflow for extracting meter readings from field images, with local OCR/computer-vision prototypes and cloud AI APIs used for production accuracy and reliability
Built a hydrological forecasting and GIS web platform combining data preprocessing, backend APIs, and interactive visualization.
- Developed LSTM/CNN-based time-series forecasting models in TensorFlow for river-flow prediction.
- Built FastAPI services and React/GIS dashboards to visualize model outputs and hydrological datasets.
- Integrated R-based preprocessing, PostgreSQL storage, and web visualization into an end-to-end workflow.
- Optimized irrigation-data processing scripts from days to hours through parallelization and workflow improvements.
Led development of healthcare SaaS and medical documentation systems serving 500+ medical institutions.
Key Projects
- Built a pipeline that converts doctor-patient conversations and EMR/PDF inputs into structured medical records using ASR, embeddings, vector retrieval, and LLM-based extraction.
- Designed structured output workflows for medical summaries, key findings, and reviewable clinical records.
- Generated PDF reports and stored structured records in PostgreSQL/local databases and AWS S3.
- Improved documentation efficiency through summarization, outlier detection, and automated information extraction.
- Built cloud-native microservices using Java/Spring Cloud for laboratory workflows, device integration, and medical data processing.
- Integrated 100+ medical devices using HL7 interfaces and supported high-volume hospital operations.
- Optimized SQL and Redis caching, improving query performance by 70%.
- Automated CI/CD with Jenkins, Docker, and Kubernetes, reducing deployment time from days to hours.
Impact & Scale
- Supported 10,000+ daily active users across 500+ institutions with 99.9% system uptime
- Reduced query response times to under 1 second and improved deployment efficiency significantly
Delivered project-based training and developed full-stack teaching systems covering Java/Spring, Vue, databases, big data pipelines, and distributed systems.
Key Projects
Built a Spring Boot/MyBatis/Vue.js shopping platform with Redis caching and asynchronous order processing.
Developed a Hadoop/Hive/HBase/Kafka/Spark pipeline for user-behavior analysis and reporting.
Impact
- Mentored 1,000+ students through practical software engineering projects and architecture walkthroughs
Education
Publications & Achievements
- Published book: Algorithms Around You: Interviews, Promotions and Engineering (2023)
- CSDN Blog Expert: Recognized as Top 10 Blog star (2019) with 300+ original technical articles and 1.9M+ total visits
- Microsoft Certified: Azure AI Fundamentals (AI-900) (2024)
Volunteer Experience
- Assisted in recycling and refurbishing devices to promote sustainable technology usage
- Provided technical support and innovative solutions to extend device life cycles