Hi, I'm Seshu Nukala - Principal Member of Technical Staff at Meta
I architect AI data infrastructure at planet scale, thriving on building foundational systems for Meta's recommendation and generative AI. My passion lies at the intersection of product strategy, infrastructure economics, and engineering execution for exabyte-scale data challenges.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Led foundational data platforms at Meta, Google, and Palantir, managing exabyte-scale systems.
Currently leading Sequence Storage at Meta, powering recommendation and generative AI workloads.
Can advise on scaling AI data infrastructure and optimizing multi-billion dollar capacity.
🚀 Career trajectory
Data Platform Foundations
Built data warehouses for Google's revenue products, establishing early expertise in large-scale data systems.
✦ Data Warehousing
✦ Data Platforms
Cloud Data Lakes & Systems
Developed Palantir's Foundry data lake on AWS and privacy infrastructure for billions of users at Meta.
✦ Data Lakes
✦ AWS
✦ Palantir
✦ Meta
✦ Privacy
AI Infrastructure Leadership
Currently leading Sequence Storage at Meta, focusing on AI training and inference platforms.
✦ AI Infrastructure
✦ Meta
✦ Sequence Storage
✦ Generative AI
💪🏻 Superpowers
AI Data Infrastructure Architect
Designing and scaling foundational systems for AI workloads.
✦ Leads Sequence Storage at Meta, ingesting and serving sequential feature data.
✦ Experience building exabyte-scale data systems at Meta, Google, and Palantir.
✦ Drove $5B+ in capacity efficiency for AI and non-AI infrastructure fleets.
Strategic Capacity Management
Optimizing large-scale infrastructure investments for maximum efficiency.
✦ Managed infrastructure capacity planning at $B+ scale across diverse fleets.
✦ Operates at the nexus of product strategy, economics, and engineering.
✦ Proven ability to reduce costs while enhancing performance.
Team Builder & Mentor
Cultivating high-performing engineering teams in complex environments.
✦ History of building and mentoring teams in ambiguous, high-stakes domains.
✦ Fosters collaboration between product and engineering for impactful outcomes.
✦ Empowers teams to tackle challenging technical problems.
I'm excited about
✦ Exploring new frontiers in AI infrastructure and large-scale data management.
✦ Connecting with leaders and innovators in the AI and big data space.
✦ Discovering opportunities to drive impactful technological advancements.
I can help with
✦ Advise on scaling AI data infrastructure for training and inference.
✦ Share strategies for optimizing multi-billion dollar infrastructure capacity.
✦ Mentor teams building complex, high-stakes data systems.
I would love your help on
✦ Insights into emerging trends in AI hardware acceleration.
✦ Connections to leaders in foundational AI research.
✦ Collaborations on novel approaches to data storage efficiency.