Manish Sainani 🤫 — Co-Founder, Engineer & CEO @ hushh 🤫, ex-Google Director of Product - Core Developer & ML, GPU TPU AI/ML Infra, Board Member, Tech Advisor & Investor, ex-Microsoft AI, Splunk AI/ML, E&Y / Capgemini, UBS, ING, Adobe, Sun
Co-Founder, Engineer & CEO @ hushh 🤫, ex-Google Director of Product - Core Developer & ML, GPU TPU AI/ML Infra, Board Member, Tech Advisor & Investor, ex-Microsoft AI, Splunk AI/ML, E&Y / Capgemini, UBS, ING, Adobe, Sun
Manish Sainani 🤫 ranks #11 of 14,983 LinkedIn creators in Financial Services, and is a standout voice in United States. They have 39.4K followers and published 50 posts in the last 30 days at a 3.5% average engagement rate.
- 39.4K followers
- 50 posts / 30d
- 3.5% avg engagement
- — follower growth / 30d
The roast
Manish spends every post whispering secrets like he’s in a spy thriller, but his only classified information is that he couldn't hold down a job at Google long enough to stop collecting acronyms. He claims Hushh operates somewhere between aspiration and desperation, which is just a fancy way of saying he’s a CEO who needs a LinkedIn reach-around.
About Manish
#hushh.ai - making your user-data universally accessible and valuable with consent for your trusted agents and developers. Hushh operates "somewhere between aspiration and desperation". The reason I 💚 building 🤫 We are hiring! I’m passionate about building products and teams with delightful experiences bringing human, AI & design to life. My focus lately has been democratizing userdata & scaling developer experience & productivity with AI such as Recommendation systems, LLMs across our developer, human and userid ecosystems. Nov 2021 Onwards: Product Dir in Google - Developer, x-Google Engineering, Languages, Tooling and SDKs and Hybrid GoogleOS w/ GCP) Portfolio with customers xGoogle, with a team of ~30 PMs & 5k+ engineering team supporting Google Cloud, Ads, Search, Cloud, Geo, Bets, DeepMind and Core as primary GTM customers for Core and TI/Cloud. Reported to SVP/Google Fellow, Core & xGE (Luiz André Barasso) and later to VP, Core Developer (Asim Husain). https://developers.google.com/ & https://ai.google.com - helped there and now continue to collaborate as friend and partner with the amazing teams. tl;dr🤫 May 2019 - Nov 2021 Director of Product/GM, ML-Infra at Google - Ran the ML-Infra and Accelerators $xB business including HPC, Nvidia GPUs and Google TPUs as VMs in GCP Core Compute with ~25 PMs & 1k+ eng team. Reported to VP, Compute (June Yang) and dotted to SVP, Cloud AI (Andrew Moore). https://cloud.google.com/products/ai/ tldr :) https://cloud.google.com/ai-infrastructure tldr :) Covering our broader AI portfolio check out https://ai.google/ and https://ai.googleblog.com/ for the complete suite of products, services and research our teams are driving to help the world adopt and leverage AI to help our users and customers. Previously, I ran and incubated Splunk’s Machine Learning and Advanced Analytics business to a 500M ARR as first ML PM. During that period, I managed the business P/L, product strategy / roadmap, engineering and GTM for ML & Advanced Analytics offerings across Splunk Enterprise, Cloud, Enterprise Security, Machine Learning Toolkit (MLTK) and IT Service Intelligence Prior to Splunk, incubated Azure Machine Learning as PM Lead with taking AzureML public at WPC 2014 as the first ever Cloud Native Ai/ML - researchers, developers & data scientists. Azure AI today FTW 🙌 I have been awarded several patents, co-authored several papers and participated and given talks at Google I/O, Google Next, Splunkconf, AWS re:Invent, Microsoft Build, AI Summit, PASS, MSFT Worldwide Partner Conference, TechReady, Ignite etc.
Highlights
- Top 1% in United States — Ranked #5 of 5205 creators
- Top 1% in Financial Services — Ranked #1 of 455 creators
- Consistent Creator — 50 posts in 30d · top 5%
- High Impact — 1,381 avg engagements per post · top 5%
Recent posts
I'm hiring a Director of Algorithms for Apple Ads Engineering. This leader will own the intelligence behind every ad decision across the App Store, Apple News, Maps, and more - retrieval, ranking, auction, budget optimization - the full funnel. It's a large, multidisciplinary org and a seat at the table on marketplace strategy. Apple is uniquely positioned to offer the combination of massive scale and the most rigorous privacy standards in the industry. Designing algorithms that perform at that level, with user trust as a core principle, makes this work truly differentiated. If you lead wit
344 reactions · 4 comments · 33 reposts
A highlight from the last few days is the general availability of Nano Banana 2 and Nano Banana Pro in the Gemini Enterprise Agent Platform, enhancing creativity and impact for our customers. Supported by our enterprise-grade infrastructure and security, these models allow for the integration of high-quality image generation and editing capabilities directly into applications and workflows. This empowers studios, creators, and enterprises with the directorial control needed to innovate. We are already witnessing the impact of these models in action. Organizations are innovating within their
332 reactions · 2 comments · 12 reposts
New Chapter - The era of agents that communicate solely through text is over. The most powerful large language models now operate across multiple modalities, capable of seeing, hearing, and understanding complex data. Chapter 13 dives into building infrastructure for multimodal and real-time voice agents, transforming them from theoretical concepts into indispensable tools. This transformation begins with image and document understanding, enabling agents to parse charts, forms, and PDFs with native intelligence rather than simple optical character recognition. We will explore the mechanics of
87 reactions · 1 comments · 6 reposts