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Binaya Sharma
Senior Software Engineer specializing in full-stack systems, big data, and applied AI
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About
Built and deployed ForensicLLM, a local domain-specific LLaMA-3.1-8B model for digital forensic investigators using RAFT + RAG over 1000+ curated research papers, with citation-aware responses and rigorous evaluation (BERTScore/G-Eval). Deployed via vLLM and Docker and validated through a chatbot survey with 80+ participants; published at DFRWS EU 2025.
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Key Strengths
- Built and deployed a domain-specific LLM (ForensicLLM) for digital forensics research retrieval
- End-to-end RAG pipeline: ingestion, chunking, embedding, vector indexing, and fine-tuning
- Entity resolution and data cleaning using Sentence-BERT clustering plus Pandas/spaCy pipelines
- Quantitative evaluation of LLM/RAG quality using BERTScore F1, G-Eval, and BGE-M3
- Production-minded deployment: vLLM for concurrent inference and Docker containerization
- User research execution: deployed chatbot and ran survey with 80+ participants
- Peer-reviewed publication: DFRWS EU 2025 ('ForensicLLM: A Local Large Language Model for Digital Forensics')
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Publications
2 publications
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