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Saniya Shinde
Mid-level Data Scientist specializing in NLP, LLMs, and RAG systems
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About
Built and deployed a production-style vision-language pipeline that generates structured medical reports from chest X-rays using BioViLT embeddings, an image-text alignment module, and BiGPT fine-tuned with LoRA, delivered via Streamlit and hosted on AWS EC2. Also collaborating experience presenting EDA findings, feature importance, and model performance to Ford managers while working with vehicle parts data at Bimcon.
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Key Strengths
- Built and deployed end-to-end VLM system for structured chest X-ray report generation (Streamlit UI on AWS EC2)
- Applied domain-appropriate evaluation combining ROUGE-L and qualitative hallucination/clinical relevance checks
- Achieved ROUGE-L score of 0.8 on medical report generation
- Practical experience fine-tuning large models with LoRA and managing GPU/compute constraints
- Able to translate EDA/model performance into business-friendly insights for non-technical stakeholders (Ford managers)
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