Vihaan Chugh
I am a Computer Science Specialist at the University of Toronto with professional experience in banking strategy and past roles at firms like Deloitte and EY.
About
I am a Computer Science Specialist at the University of Toronto with professional experience in banking strategy and past roles at firms like Deloitte and EY. My technical work focuses on advanced AI engineering and agentic workflows. My biggest achievements include building Project Vigilant, an on device AI fraud prevention engine that uses OS level metadata and Small Language Models, and architecting Remeda, a multimodal RAG pipeline designed to synthesize unstructured diagnostic reports into actionable summaries. I combine my background in consulting and financial operations with deep technical expertise to build scalable AI solutions.
- 2 years' experience
- Joined June 2026
Industry experience
- Financial Services
- Healthcare
- Software & Internet
- Education
- Professional Services
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Work experience· 7 roles
Engineered an on-device AI fraud-prevention engine with a Context Aware Knowledge Engine using OS-level metadata (emails, SMS, calendar) to eliminate false positives, resulting in a privacy-first ‘Verify then Trust’ model and a B2B2C GTM strategy for a 955K user market.
Leading the transition from static retrieval-augmented generation to agentic AI workflows; defined the 2026-2027 roadmap and identified high-impact use cases across TD's business units to support a $1B AI-driven value capture goal.
Partnered with Layer6 to advance TD Clari 2.0; analyzed LangChain-based RAG pipelines and co-designed strategic response flows, enhancing retrieval precision by 40% and supporting enterprise-scale rollout across TD’s business units. Identified $500K+ in projected annual savings by performing cost-benefit analyses for firmwide GenAI scaling in collaboration with Microsoft and KPMG.
Education
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