Hitesh Jain

Co-Founder

United States13 yrs 4 mos experience
AI EnabledHighly Stable

Key Highlights

  • Founder of Coral Bricks AI focusing on AI memory.
  • 13 years of experience at Meta enhancing AI systems.
  • Early stage investor in multiple startups.
Stackforce AI infers this person is a Backend-heavy Infrastructure Engineer specializing in AI and Real-Time Systems.

Contact

Skills

Core Skills

Ai InfrastructureProduct StrategyAi PersonalizationInfrastructure DevelopmentData PrivacyRegulatory ComplianceSystem DevelopmentProduct IntegrityMachine LearningAlgorithm DevelopmentStreaming TechnologyMedia InfrastructureDistributed SystemsReal-time InfrastructureData InsightsSystem Engineering

Other Skills

GPU-native retrievalembedding modelslarge-scale retrieval systemsmemory architecturesAI agentsdata collectionsynthetic data generationprompt centralizationconsultationengineering designoperational excellencestreaming protocolsmedia compositingffmpeggstreamer

About

I’m the founder of Coral Bricks AI, where we’re developing infrastructure that enables AI agents to store and retrieve persistent state at scale. As agents become autonomous, they need systems that can remember: actions, documents, structured data, and prior context. This pushes retrieval toward trillion-scale memory systems, where latency, data movement, and memory placement become core challenges. Coral Bricks AI is building GPU-native retrieval and memory infrastructure designed for that future. I split my time between Seattle and the San Francisco Bay Area. Previously, I spent 13 years at Meta working on large-scale AI personalization and safety systems powering products used by billions of people. I'm also an early stage investor in 7 startups. I enjoy connecting with people working on AI, retrieval, and agent systems.

Experience

Coral bricks ai

Founder - AI memory startup

Jul 2025Present · 8 mos

  • Building infrastructure for next generation AI agents that execute multi-session, long-term workflows, action-oriented workflows.
  • Responsibilities include:
  • Defining company vision, product strategy, and long-term roadmap for agent memory infrastructure
  • Leading product and research direction across embedding models, large-scale retrieval systems, and memory architectures
  • Building the company from the ground up: hiring, fundraising, partnerships, and go-to-market strategy
  • Developing GPU-native retrieval pipelines and domain-optimized embedding models for large-scale AI workloads
  • Engaging with the AI ecosystem across researchers, infrastructure teams, and design partners
  • Based in Seattle.
GPU-native retrievalembedding modelslarge-scale retrieval systemsmemory architecturesAI agentsAI Infrastructure+1

Meta

7 roles

Principal Engineer - Generative AI

Feb 2025Jul 2025 · 5 mos

  • Make AI chatbots personalized so they are helpful and engaging.
  • Improved experimentation velocity at Meta AI by developing infrastructure for training data collection from human, synthetic data generation, prompt centralization and evals.
  • Improved engagement by fine tuning llama through SFT, DPO, RLHF and reward model training
AI personalizationinfrastructure developmentdata collectionsynthetic data generationprompt centralizationAI Personalization+1

Tech lead Manager - Privacy

Promoted

Feb 2023Feb 2025 · 2 yrs

  • Deliver on Facebook's obligations towards data use and privacy regulations while minimizing privacy tax for the developers.
Data PrivacyRegulatory Compliance

Software Engineer - Integrity and Brand safety

Sep 2018Jan 2023 · 4 yrs 4 mos

  • I develop systems, consult across product engineering teams, ensure engineering design and operational excellence, identify opportunities of impact and build a world class product. The systems protect Facebook products from various kinds of bad content and actors.
system developmentconsultationengineering designoperational excellenceSystem DevelopmentProduct Integrity

Software Engineer - Video Comprehension

Promoted

Jul 2017Sep 2018 · 1 yr 2 mos

  • I have been developing algorithms that detect audio/video copyright infringement on facebook and instagram. I work with the product teams to define the problems and use machine learning techniques for them. It includes literature review, training and collaborating with teams around the world for data collection, developing accurate and highly performance optimized models(performance is important at facebook scale), integrating them with facebook infrastructure and repeating.
algorithm developmentmachine learningdata collectionMachine LearningAlgorithm Development

Software Engineer - Live Infra

Jan 2017Jun 2017 · 5 mos

  • I worked on the videos infra team. I worked on Livewith which allows two people to be live together on facebook surfaces. Specifically, I worked on compositing the two media streams, which involved working on streaming protocols and tools like ffmpeg and gstreamer.
streaming protocolsmedia compositingffmpeggstreamerStreaming TechnologyMedia Infrastructure

Software Engineer - Real Time Infrastructure

Jun 2014Dec 2016 · 2 yrs 6 mos

  • As a backend engineer on Real Time Infrastructure, I built a set of distributed systems that enable all devices/browsers running Facebook’s leading products to stay connected to our backend 24x7 and be engaged in real-time exchange of content, push notifications and signaling. The services handle close to a trillion messages a day, solving one of the biggest scale problems in the world.
  • In the earlier part, I focussed primarily on the gateway layer which is essentially the last mile to the device and implements the protocols for communication like MQTT, HTTP and XMPP.
  • Next I worked on the presence system which is responsible for the *green dot* or availability status on all facebook surfaces. It's an in memory system that handles over a billion RPC requests a minute, does complex privacy checks, staying up to date with a large in-flow of ephemeral user availability events.
distributed systemsreal-time communicationprotocol implementationDistributed SystemsReal-Time Infrastructure

Software Engineer - Ads and Pages Insights

Jul 2012May 2014 · 1 yr 10 mos

  • I worked as a backend systems engineer on Ads and Pages insights platform. The insights platform is a distributed system that collects data from various sources across the site, aggregates it for easy consumption and presents it to the businesses, all in real time. The data provides insight into the perceived quality of their content and measure user sentiment/engagement across various demographics and drives key business decisions. The platform crunches billions of events per day for millions of active pages and advertisers.
data aggregationreal-time insightsdistributed systemsData InsightsSystem Engineering

Angel investor

Angel Investor

Sep 2024Jul 2025 · 10 mos · Greater Seattle Area

  • I hold a portfolio of 5 startup companies.
  • Independently:
  • Cielara AI
  • Byteroll
  • Incantio
  • In a special purpose vehicle:
  • Aveera Health
  • Image Rehab

Cisco

Software Engineering Intern

May 2011Jul 2011 · 2 mos · Bengaluru Area, India

Education

Indian Institute of Technology, Roorkee

Bachelor of Computer Science and Engineering — Computer Science

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