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Priyanuj Bordoloi
Junior Data Scientist / ML Engineer specializing in LLMs and Computer Vision
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About
Currently working in CoRAL Lab, built and deployed IntegrityShield—a document-layer PDF watermarking system that keeps assessments visually identical while disrupting LLM-based solving; validated in a real classroom where it helped catch 12 AI-cheating cases. Also built MALDOC, a modular red-teaming platform for document-processing AI agents using LangGraph to run reproducible, deterministic adversarial trials across OCR/text/vision routes.
Experience
Education
Key Strengths
- Built and deployed IntegrityShield to protect PDF-based assessments from LLM solving while preserving visual fidelity
- Deep expertise in PDF layout fidelity and reconstruction (coordinate/font-dependent alignment, glyph edge cases)
- Designed deterministic, debuggable LangGraph orchestration for large-scale clean vs adversarial document trials (MALDOC)
- Strong reliability engineering for AI agents: test harnesses, staged schemas, structured outputs, tool budgets, fallbacks, and replayable logging
- Metrics-driven evaluation mindset (quality metrics plus cost/latency/tool-call efficiency; regression tracking)
- Proven real-world impact in classroom deployment (system used to identify 12 AI-cheating cases)
- Effective collaboration with non-technical stakeholders via short demo/feedback loops and clear non-negotiable requirements
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