AI Knowledge Search / RAG
Transform research papers, specifications, internal documents, CSV files and agricultural datasets into searchable AI knowledge systems with question answering and summarization.
AI, search, agricultural data and field measurement systems
Hongyan Meng helps organizations build practical systems across information retrieval, semantic search, sensor networks, C/Java/Python development, image recognition, federated learning, Android apps and web-based management platforms.
The source materials show a consistent theme: collecting data, structuring it, searching it, and turning it into tools people can use. Experience includes SDD/LSI semantic search, large-scale agricultural information retrieval, sensor networks, business applications, neural networks, YOLO, Flower federated learning, Supabase and Grafana integration.
The strongest business direction is not generic outsourcing. It is specialized AI, search and measurement systems for research, agriculture and field operations.
Transform research papers, specifications, internal documents, CSV files and agricultural datasets into searchable AI knowledge systems with question answering and summarization.
Integrate sensors, barcode records, CSV files, images and measurement values into a practical workflow from field input to web management and dashboards.
Set up and validate YOLO, COCO datasets, Flower, Docker and virtualized environments for secure machine learning experiments.
Analyze older C, Java, SWT and Tomcat assets, fix memory and runtime problems, create GUI tools, migrate systems and organize source code for maintenance.
Build Bluetooth measurement, local Room storage, synchronization, Supabase authentication, APIs, CSV/JSON export and Grafana visualization.
Support requirements definition, detailed specifications, API lists, database design, execution manuals, reports and delivery packages.
Researched and implemented a Japanese agricultural information retrieval system using Semi-Discrete Matrix Decomposition for over 200,000 documents.
Developed systems around agricultural information, XML/XSD, JAXB, Java/SWT clients and search server integration.
Long-term experience in enterprise software, financial system migration, web systems, server setup, testing and maintenance.
Extended C-based neural network software, created Windows GUI tooling, converted image datasets, and built YOLO and Flower execution environments.
Defined and developed barcode measurement systems with Android apps, web dashboards, Supabase authentication, InfluxDB/Grafana visualization and CSV/JSON export.
A small RAG package for past documents, papers, specifications, CSV files and image metadata, offered with setup and monthly maintenance.
Barcode, Bluetooth measurement, CSV management and dashboards have clear operational value and are suitable for PoC-to-production contracts.
Fewer engineers can read older C and Java assets today. Repairing research code, Windows tools, memory problems and migrations can become a premium spot service.
Docker, YOLO, Flower, LLM and GPU or virtual environments often block teams. Setup plus documentation is a concrete, short-cycle service.
Consultation
Please contact me for prototypes, system repair, AI environment setup, agricultural or measurement data management, and modernization of older C or Java assets.
Core Areas
AI Search / RAG / YOLO / Flower / C / Java / Python / Android / Web / DB / Docker / Linux / Windows
Contact
mou@wataobao.org
+81-80-3094-1588
Public Profiles
GitHub: stephen521
X: @wangyr521
Domain: sddsearch.com