尤物视频

Vincent Chu

Date: Wednesday, April 30th, 2025

Time: 3:00 - 4:30 PM PST

Location: TASC 1 9204, Burnaby campus

Talk Title: Building Effective Data Teams: Streaming, ETL, and LLM-Powered Reporting 

Abstract: How do small teams succeed in big organizations? This talk explores key strategies for building an effective data team, from quickly ingesting data with streaming architectures to adapting traditional ETL pipelines. We鈥檒l also discuss how large language models (LLMs) can make reporting more accessible while avoiding misinformation. Beyond the tech, we鈥檒l cover how teams can stay agile, collaborate across departments, and design clear interfaces for long-term success. Whether you're pursuing a career in a startup or a large enterprise, in AI or data, this session will provide valuable insights into real-world data challenges and solutions.

Speaker Info: Vincent Chu, VP of Engineering at Visier, is a seasoned engineering leader with extensive experience in building high-performance teams, driving technical innovation, and scaling software systems. Vincent鈥檚 career has spanned both startups and large-scale enterprises, including organizations like Electronic Arts and Apple. He has successfully led teams at companies such as Visier, Later.com, and AgencyAnalytics, where he played a pivotal role in designing and delivering mission-critical platforms.

Passionate about the intersection of technology and leadership, Vincent specializes in cultivating engineering cultures that balance velocity, quality, and long-term sustainability. His expertise includes distributed systems, platform engineering, and developer productivity, with a focus on designing resilient architectures and empowering teams to deliver impactful solutions.

Beyond his technical contributions, Vincent is an advocate for mentorship and leadership development, helping engineers transition into effective leaders. His writing and talks often explore the nuances of scaling engineering organizations, decision-making in fast-moving environments, and fostering innovation in complex systems.

Today, Vincent continues to shape the future of engineering leadership by sharing his insights and guiding teams toward building scalable, reliable, and high-quality software.

Shadid Chowdhury

Date: Wednesday, March 26th, 2025

Time: 3:00 - 4:30 PM PST

Location: TASC 1 9204, Burnaby campus

Talk Title: DNS: The Silent Weapon of Cybercriminals 鈥� Leveraging Data and AI/ML to Build DNS-Based Cybersecurity Solutions

Abstract: Cybercriminals are increasingly exploiting DNS to bypass traditional security measures, execute stealthy attacks, and exfiltrate data undetected. In this session, we'll expose the hidden risks within DNS, discuss the challenges of building effective security insights, and demonstrate how AI/ML-driven analytics can detect and disrupt threats before they cause harm. Join us to explore how innovative data strategies and advanced machine learning can transform DNS from a security blind spot into a powerful defense tool. 

Speaker Info: Shadid Chowdhury is a Senior Engineering Manager at Infoblox, where he leads the development of DNS-based cybersecurity products. He holds a Master鈥檚 degree in Distributed Systems from the Royal Institute of Technology (KTH), Sweden. Before joining Infoblox, Shadid worked at Amazon Web Services (AWS), Teradata, SmartBear, and Klarna, gaining deep expertise in cloud computing, big data, and software engineering. He brings valuable insights into building robust, scalable cybersecurity solutions. 

Gordon Niguma

Date: Wednesday, February 26, 2025

Time: 3:00 - 4:00 PM PST

Location: TASC 1 9204, Burnaby campus

Talk Title: Who is Lamar Duckworth, why do your parents need tech support, and should you lend me money? 

Abstract: This tackles three basic questions with real-world examples, that are affected by real-world technology problems. The three problems we tackle today are:

• 鈥淗i Lamar Duckworth, are you Lamar Duckworth? The reality about Data鈥� 鈥� 鈥淲ho is Lamar Duckworth鈥� is a surprisingly complex question with no easy answers. One reason is because of data quality and understanding how data quality affects our abilities to solve real-world problems. It can lead to losing money, whether its because of fraud, missed opportunities to market to someone or making bad decisions on new products.  
• 鈥淲hy do your parents ask you for tech support and can鈥檛 beat you at video games?鈥� 鈥� Your parents were built for the 70s and 80s. They can鈥檛 text quickly, but they can type. They can鈥檛 play video games if there鈥檚 more than 4 buttons on the controllers. But the same is true for old technology and why it hinders our ability to progress forward. 
• 鈥淪hould I lend this person money?鈥� 鈥� If a stranger asked you for money, how would you determine if you should let them borrow it? This will be a group effort to discuss the basic process of lending, how it works in practice, all of the technologies that are required, and the considerations that have to be made.  

Speaker Info: Gordon Niguma is a Director in the Enterprise Architecture team at Coast Capital Savings. He earned his M.Sc. in Computer Science from 尤物视频. Previously, Gordon was a Manager of the Enterprise Architecture team at Vancity and an Architect at IBM.

Hossein Hajimirsadeghi

Date: Wednesday, January 29, 2025

Time: 3:00 - 4:00 PM PST

Location:TASC 1 9204, Burnaby campus

Talk Title: What is it like to pursue a career in Artificial Intelligence?

Abstract:  Artificial Intelligence (AI) is revolutionizing industries, reshaping economies, and redefining the boundaries of technology. But what does it take to build a career in this rapidly evolving field? In this talk, we will explore the journey of pursuing a career in AI, providing insights into the diverse roles available, the skills and knowledge required, and the challenges and opportunities professionals face along the way.

Speaker Info:  Hossein Hajimirsadeghi is a Principal Researcher at Borealis AI鈥檚 Vancouver lab. He earned his Ph.D. in Computer Science from 尤物视频 in 2015, under the supervision of Prof. Greg Mori. Before joining Borealis AI, he served as a Principal Member of Technical Staff at Oracle Labs in Vancouver. His research spans a wide range of AI topics, including representation learning, meta-learning, generative models, computer vision, robotics, and evolutionary optimization.