AutoAlign provides comprehensive generative AI security built for safety and performance.

I'm developing technologies to enhance the utility and ethical standards of Generative AI and Large Language Models, ensuring they meet human needs, are free from biases, and prioritize safety. Additionally, I've established a Responsible AI Governance system to ensure transparent and accountable algorithmic decision-making.

I was responsible for data and AI centric product redesign and customer acquisitions programs.

- Collaborated with major financial institutions and global regulatory bodies to tailor AI solutions for varied business scenarios.- Mentored product owners and R&D teams to refine AI products based on client feedback and requirements.- Empowered clients and non-technical teams to leverage our AI-driven cognitive computing solutions, especially in RegTech and FinTech domains.- Partnered with various business units to expand AI applications, integrating their feedback for product enhancement.- Oversaw R&D strategies, AI roadmaps, pipelines, and team management.Established as an AI thought leader through white paper publications, technical articles, award submissions, and project proposal contributions.- Played multiple roles in creating advanced NLP and AI products, particularly in Transaction Monitoring, Fraud Detection, Financial Crime, and Anti-Money Laundering, achieving substantial reduction in false positives.- Spearheaded a cross-functional effort in Singapore to develop a PoC for deciphering suspicious transaction reports for the Monetary Authority of Singapore using advanced NLP.- Promoted the company's AI milestones through trainings, workshops, and conference presentations, such as "Automated Regulatory Compliance with Cognitive Computing" at the Toronto Machine Learning Conference 2018.

- Successfully led and executed AI projects to acquire funding from Industrial Research Assistance Program, Canada (http://www.nrc-cnrc.gc.ca/eng/irap/index.html) - Fundamentally improved the company’s automatic due diligence products with innovative NLP techniques by leading high-performing NLP researchers and developers.

- Primary contributor in building an Intelligent Virtual Assistant for finance/banking domain using statistical and rule-driven NLP.- Enhanced the company's language-understanding software by mining meaningful knowledge and rules from corpora, and building prediction systems e.g., word-sense disambiguation.

- Designed and implemented a general top-down parsing algorithms that solves a 40-years-old problem by accommodating left-recursive Context Free Grammars in polynomial time and space.- Extended my parsing algorithm to compositionally combine declarative semantics with syntax to model directly-executable language descriptions. ( cs.uwindsor.ca/~hafiz/proHome.html )

Object Oriented Software Analysis and Design Fundamentals of Computer Science- Conducted weekly classes for third-year students to help them learn fundamentals of Computer Science, and well-documented and tested techniques, patterns, and practices for object oriented software designing.

- Computer Languages, Grammars, and Translators  - Key Concepts in Computer Science - Literature Review and Survey (Graduate Course)- Computer Architecture I: Digital Design - Computer Networks Key Duties:- Conducting consultation hours for students to help them understand fundamental CS topics.- Helping the instructor to prepare assignments, and supervise students during laboratory sessions.- Invigilating and evaluating examinations, assignments and laboratory work.