E-commerce platforms, digital asset management (DAM) systems, architectural archives, and engineering document portals frequently search to hire a freelance multimodal visual search (SigLIP, OpenCLIP, ColPali, Cohere Multimodal & Vertex Multimodal Embeddings) programmer. I am Aldian Fazrihady, a Senior Freelance AI Application Engineer available via Upwork.
Core Visual Search & Vision-Language RAG Capabilities
- ColPali / ColQwen Vision-Native Document Retrieval: Indexing visually rich PDF pages (charts, wiring diagrams, financial tables, slide decks) directly as multi-vector patch embeddings (`MaxSim` late interaction in Qdrant/Vespa/`pgvector`) without brittle OCR layout loss.
- Image-to-Image & Text-to-Image Product Search: Allowing shoppers and designers to upload a reference photo or sketch to find visually matching products, fabrics, or architectural components in under 30 milliseconds.
- Video Frame & Audio Scene Indexing: Making thousands of hours of enterprise video archives searchable by spoken dialogue and visual action simultaneously.
Frequently Asked Questions
Why is ColPali / Vision RAG better than traditional OCR for slide decks and engineering PDFs?
Traditional text OCR destroys spatial relationships in flowcharts, schematics, and multi-header tables. ColPali embeds the rendered page image patches directly and passes the top matching page images to a Vision LLM (Gemini 2.5 Pro / Claude 3.7 Sonnet / GPT-4o).
How can we hire you as a freelance multimodal AI programmer?
Contact me on Upwork.