The best technical project page is the one where readers can see what was built and what the evidence really supports.
What was built
The documented system combines BERT-base text representations with ResNet-50 image representations, then fuses them through a shared representation for ranking.
Retrieval layer
FAISS provides approximate nearest-neighbor retrieval over the learned representation, making retrieval part of the system boundary.
Evaluation
Precision@10, Recall@10, and NDCG@10 are described on a held-out test split. Their definitions and scope should remain visible.
Limitations
The source resume describes a small synthetic dataset, so the portfolio should present the work as evidence of architecture and evaluation discipline rather than production-scale proof.
This page is part of Abdullah’s technical knowledge library: a set of specific, crawlable resources that connect a search question to practical engineering evidence.
When the topic overlaps with Abdullah’s documented work, the links below provide deeper project or expertise context without turning general guidance into a personal credential.
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AI Developer / ML Engineer building end-to-end AI systems from research to production, with a focus on multimodal AI, LLM applications, retrieval, MLOps, and systems engineering. He is based in Rawalpindi, Pakistan and is the founder of GROVE SYSTEMS.