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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.…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.

Vihaan Chugh

AI Prompt Engineer, AI Strategy Consultant, AI Developer, +6

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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.…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.

Available to hire

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.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

AI Strategy at Layer6 AI

January 1, 2026 - Present

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.

Founding Machine Learning Engineer at Remeda

August 1, 2025 - Present

Architected a multimodal RAG pipeline using MedGemma to synthesize unstructured radiology reports and lab PDFs into FHIR-compliant diagnostic summaries; engineered a Vision-Language Model explainer that generates ROI heatmaps for automated anomaly detection, reducing clinician manual review time by 40%.

Digital Transformation and AI Intern at TD Bank

September 1, 2025 - December 1, 2025

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.

Technology Risk Consulting Intern at Ernst & Young (EY)

May 1, 2025 - August 1, 2025

Conducted IT General Controls (ITGC) testing and walkthroughs for Tier-1 Canadian banks using COBIT; validated 50+ controls across access management, change management, and data integrity. Reviewed SQL queries and utilized ServiceNow to document remediation efforts, enhancing control exception tracking and reducing audit response times by 25%.

Data Analysis and AI Intern at Deloitte

August 1, 2024 - September 30, 2024

Sourced and cleaned government open data using Power Query; utilized DAX in Power BI for analysis, contributing to a 15% increase in proposal acceptance through data-backed insights. Contributed to Deloitte’s Chatbot Foundry by implementing GenAI chatbots on ServiceNow; processed raw data in Palantir and optimized functionality, boosting user satisfaction by 30%.

Digital Solutions and Automation Intern at Buhler Group

April 1, 2024 - August 31, 2024

Enhanced energy efficiency by 15% and operational efficiency by 20%, generating over $400K in savings for Corporate Scale Milling Companies using SAP S/4HANA C4C and Mercury MES; developed Power-BI course improving team proficiency by 30%.

Founding Architect & Strategist at Vigilant

January 1, 2026 - Present

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.