Sanchit Garg

AI Risk & Governance professional with enterprise-proven impact: stress-tested Google's Gemini AI before rollout to thousands of employees, managed AI risk for a UN-backed global platform, and designed audit controls that uncovered $100K in financial discrepancies. Specializes in translating complex AI risk into governance frameworks and regulatory controls. Fluent in NIST AI RMF, EU AI Act, COSO ERM, SOX/ITGC, and ISO 27001 — effective across consulting, financial services, and enterprise tech.

Business Risk Consultant — AI & Fintech Compliance - Sai Services LLC - NJ

(2025-06)

• Audited 50+ systems via NIST CSF/COBIT — identified 37 critical vulnerabilities, blocked 120 incidents, cut breach-attempt rate 90% within two quarters.
• Built Power BI dashboards tracking live AI risk KRIs — eliminated manual weekly reporting and cut leadership response time by 30%, enabling real-time governance at scale.
• Designed SOX-aligned reconciliation controls for AI-assisted payment processing — uncovered a $100K billing discrepancy; post-control error rate fell 40% vs. prior 6-month baseline.
• Assessed AI adoption risk for 65-staff Canopy rollout — change management plan eliminated 420 downtime hours and saved ~$22K annually vs. prior migration benchmark.
• Automated compliance workflows via Google Apps Script, validated against known outputs before deploy — saved $15K–$25K/year in manual processing costs.

AI Trust & Safety Tester — Gemini for Enterprise (Selective Pilot) - Google - NY

(2025-05 - 2025-06)

• Selected for Google's invite-only enterprise AI safety program; stress-tested 100+ prompts across HR, Legal, Finance, and Ops — surfaced 14 safety defects (hallucination, bias, data leakage) before rollout to thousands of employees.
• Identified edge-case failures in AI abuse-detection logic; Google reported 10–20% improvement in false-flag accuracy after incorporating submitted findings.
• Delivered risk-tiered evaluation reports adopted by product and policy teams to set Gemini's responsible enterprise deployment guardrails.

Associate AI Risk Manager - NYU × UNICC (UN-Backed AI Initiative) - NY

(2025-01 - 2025-05)

• Assessed 30+ AI risks across Legal, Data Privacy, and Content Ethics for a UN-backed multilingual platform — findings shaped governance framework across 8 international stakeholder groups.
• Authored 80-page COSO ERM report with custom KRIs — framework adoption reduced risk-finding response time by 25% across 4 reporting cycles.

Emerging Technology Analyst - Amile (AI-Powered Platform) - NY

(2024-03 - 2024-06)

• Designed AI-aware fraud detection controls — blocked 600 suspicious registrations and secured ~18,000 user interactions; implemented data governance securing 2.5M records.

Associate Analyst — Technology & Operations - Sai CPA Services - India

(2021-07 - 2023-08)

• Automated reporting workflows — raised team productivity 20% and negotiated $4K in vendor savings through documented cost-benefit analysis.

MS - Management & Systems (Enterprise Risk Management) - New York University (2023-09 - 2025-05)