Elmira Ghorbani is a Data Scientist and ML engineer with nine years of experience building production-grade NLP, IR, and deep learning systems, currently improving search and address understanding at Snapp!. She has a proven track record deploying RAG and LLM-driven pipelines that cut training costs dramatically and measurably boosted retrieval metrics (MRR/MAP), and she pairs model fine-tuning with pragmatic engineering (Golang services, ONNX/Triton deployments) to ship scalable solutions. Her work spans intent extraction, NER, ASR/voice analytics, and document-level RAG, often outperforming standard toolkits through custom chunking and retrieval strategies. Elmira’s academic background in AI and hands-on experience across fintech, recruitment, and mobility products give her a rare combination of research-led methods and production-minded optimization. She’s particularly interested in prompt engineering and few-shot LLM labeling techniques that turn noisy real-world queries into high-quality training signals.
9 years of coding experience
8 years of employment as a software developer
Master's degree Artificial Intelligence, Master's degree Artificial Intelligence at Alzahra University
Bachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Shahid Rajaee Teacher Training University
mini-tools for Iranian celebrity dataset (iran-celeb.ir)
Contributions:3 commits, 3 PRs, 1 push in 1 year 1 month
datasetcelebrityiraniranian
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