mizan102
Software Engineer at Meta (Ads Ranking & AI team)
Optimizing Ads Ranking and AI infrastructure at Meta while exploring the intersection of team dynamics and system architecture.
Intro
I'm mizan102, currently a Software Engineer at Meta within the Ads Ranking & AI team. My career has been a journey from building mobile apps in Bangladesh to earning a Ph.D. in Computer Science with a focus on fraud detection, followed by several years at Amazon and AWS. At AWS, I led key milestones for the SageMaker Feature Store and built high-scale systems for the Amazon Buy Box. I am deeply passionate about the intersection of AI/ML and engineering leadership. I believe that how we structure our teams—Conway’s Law—is just as important as the code we write. I'm always looking to connect with fellow engineers and researchers to exchange knowledge on Generative AI and inference efficiency, or to mentor the next generation of tech talent. Whether we're talking about foundation models or the 'orchestra' of team dynamics, I'm here for meaningful technical and strategic dialogue.
Networking
What I can offer
- ›Deep expertise in ML feature management and SageMaker
- ›Insights on scaling high-concurrency, low-latency systems
- ›Mentorship for aspiring AI/ML professionals
- ›Guidance on transitioning from tactical to strategic engineering leadership
What I'm looking for
- ›collaboration and knowledge exchange on AI/ML developments
- ›discussions with professionals pushing AI boundaries
- ›expanding my professional network
- ›exploring mutual opportunities in the AI/ML and Big Tech space
Best fit for
Focus
Current interests
Core competencies
Background
Career
Began as an iOS/Software Engineer in Bangladesh, transitioned to academic research at FIU focusing on fraud detection, then spent over 5 years at Amazon/AWS scaling SageMaker and Buy Box systems before joining Meta's Ads Ranking & AI team.
Education
Ph.D. in Computer Science from Florida International University (2013–2018); B.Sc. in Computer Science and Engineering from Bangladesh University of Engineering and Technology (2004–2008).
Achievements
- ›Led engineering for SageMaker Feature Store milestones
- ›Designed automated model tuning systems reducing maintenance to zero hours
- ›Developed low-latency services for Amazon Buy Box handling thousands of RPS
- ›Published research on Google Play fraud detection and Facebook security
Opinions
- Organizational structure dictates system design (Conway’s Law)
- Leadership is like conducting an orchestra; styles must be tailored to archetypes
- Senior leaders should focus on standards ('what is right') rather than just process
- The best engineers are a cocktail of visionary pragmatism and problem-spotting
Personality
Communication style
Professional, reflective, and encouraging, often using storytelling and metaphors to explain technical or management concepts.
Formality — 7/10
Vocabulary