MASUM MONDAL

AI Security Governance Engineer

Kolkata, West Bengal, India 7+ yrs exp 90 · Outstanding

About

Accomplished AI Security Governance Engineer with over 7 years of enterprise experience across the AI lifecycle, specializing in AI risk mitigation, technology compliance, and automated model evaluation. Proven track record executing adversarial red teaming, establishing robust Policy-as-Code frameworks, and designing engineering controls to prevent prompt injection, hallucination, and data leakage. Adept at translating complex regulatory guidelines into actionable risk-assessment frameworks, facilitating cross-functional alignment, and building secure, scalable AI governance systems.

Skills & Expertise (10)

AI Threat Modeling Advanced

8.0/10

Years Exp

Python Advanced

8.0/10

Years Exp

Google Vertex AI Advanced

8.0/10

Years Exp

Data leakage prevention Advanced

7.5/10

Years Exp

SQL Advanced

7.5/10

Years Exp

Vulnerability Assessment Google Colab LaTeX Artificial Intelligence and Machine Learning Gen AI

Work Experience

AI Security & Systems Governance Specialist

Uber Technologies Inc. (EXT)

Jan 2025 - Apr 2026

Led rigorous adversarial testing and red teaming initiatives across the AI lifecycle to proactively identify security, privacy, and ethical vulnerabilities, reducing edge-case failure risks by 15% via purple teaming frameworks. Engineered prompt filtering and output validation mechanisms for the Nano Banana project, mitigating risks associated with model exploitation while enhancing linguistic fairness and adherence to responsible AI standards by 15%. Coordinated with cross-functional platform and software engineering teams to translate complex LLM safety and fine-tuning guidelines into enforceable, automated risk-assessment reports and data-evaluation workflows. Evaluated Human-in-the-Loop (HRL) based AI products, implementing strict security compliance and fine-tuning protocols for regional Indian language models to improve contextual comprehension, data safety, and abuse prevention by 20%.

Mathematics AI Model Trainer & Governance SME

Chegg India Pvt. Ltd.

Feb 2019 - Jan 2025

Managed evaluation frameworks for nuanced, non-binary AI training workflows where multiple reasoning paths exist, driving risk-based decisions to maintain high output validation accuracy and alignment. Developed structured reasoning frameworks and logic-driven Standard Operating Procedures (SOPs) for advanced AI model training, ensuring rigorous algorithmic deduction and preventing model hallucination risks. Authored and managed frequent updates to instructional and compliance policies, driving global consistency and mitigating regulatory, privacy, and quality risks across thousands of AI-generated enterprise assets.