Project At Augment
SeedLinked helps growers and breeders discover, compare, and evaluate seeds. Automated data collection and AI-assisted enrichment workflows keep its seed catalog current and structured.
Developed scheduled web-scraping pipelines using Puppeteer and Cheerio to collect and periodically refresh seed information from external sources.
Implemented a LangChain-based AI enrichment workflow, orchestrated with GCP Workflows, to transform collected seed data into structured descriptions covering strengths, weaknesses, growth and yield, flavor and appearance, disease resistance, maturity, and growing conditions, with human review before approval and persistence.
Developed AI evaluation tests for the seed-description generation component to consistently evaluate output quality and identify regressions when changing LLM models, prompts, or generation logic.
Node.js
Puppeteer
Cheerio
MongoDB
GCP Workflows
LangChain
LangSmith
Google Gemini
Redis
Cron Jobs
Docker
GCP