Multimodal LLM Alt-Text Generation for an Ecommerce Catalog
I built an automation to create SEO-focused product image alt text for thousands of images.
- OpenAI API
- Prompt Engineering
- Multimodal
- API Development
- Python
15 projects.
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I built an automation to create SEO-focused product image alt text for thousands of images.
I conducted an analysis of longitudinal intervention data that delivered a client-ready report with figures in a Jupyter notebook.
I combined multi-year research datasets into a canonical dataset, then generated random samples of control and experimental groups.
I cleaned and matched 10.8 million records using PostgreSQL and refined logic to improve accuracy.
I built an API-based migration toolkit and used it to migrate data from one CRM to another.
I built a tool to parse purchasing department chat logs, extract offers made by outside salespeople, and summarize them in a financial spreadsheet.
I processed 107 MB of XML public records to extract corporate officer data and deliver it as a lead list spreadsheet.
I optimized a Chinese text processing algorithm across millions of database rows, reducing runtime from 19 hours to 2.5 hours.
I built a sync tool to map data between a legacy student info system and its modern replacement to allow them to operate in parallel.
I built a tool for transforming automotive fitment data into structured catalogs, which also identifies missing and inconsistent source records.
I analyzed law firm call logs to assess staffing needs and evaluate agent performance.
I built a pipeline for reconciling multi-source marketing data and delivering a unified dataset.
I built an AWS-hosted marketing pipeline with staged processing, reproducible execution, and detailed reporting.
I built an ETL platform that ingests files via webhooks, and supports multiple processing pipelines. It features replay, checkpointing & resume.
I built an inventory-processing pipeline based on the Shopify Admin API. It generates risk forecasts, reorder recommendations, and reports in Google Sheets.
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