I've always been fascinated by how complex systems work. Streaming one live game to 800M viewers is about as complex as it gets.
I sat down with @akisaxena, CTO of JioHotstar, on leadership, ambition, conviction, & what it takes to operate at extraordinary scale.
SEICon II in 2025 was one of the few conferences where I genuinely felt Proximity belonged. It brought together some of the most forward-thinking minds across sports, entertainment, and technology.
I'm excited to be back for SEICon III this year.
Here's a little throwback to our experience from last year:
https://t.co/6DR6Yi8nZX
Looking forward to the conversations, the ideas, and seeing both familiar and new faces. See you in Vegas!
With over 800 million smartphones in India, the future was always going to be digital.
JioHotstar CTO @akisaxena explains why storytelling not technology alone has been the driving force behind building digital experiences for millions of fans.
What happens when emerging tech meets one of the world's biggest sports audiences?
The CTO of JioHotstar @akisaxena on the fan experience that surprised even him, and why he thinks sports viewing is about to change in ways we haven't seen yet.
#JioStar#SportsTech#JioHotstar #SportsMedia #VR #LegacyEngine
For years, @akisaxena has been building the systems behind some of the largest live streams in history (72M concurrent and counting), shaping how hundreds of millions experience sports.
Here's how he does all of it, and more.
Head over to https://t.co/Awpb4l1SoU
I've always been fascinated by people who see the world differently. Those who imagine what's possible long before the rest catch up.
Those conversations became @LegacyEnginePod.
A cinematic show where I sit down with leaders shaping sports, media, tech, AI, & culture.
Our CEO, @h4rdik, explained why we don’t just hire A-players—we hire high-EQ A-players.
🌍 How we built a 25+ city global team
💡 Leadership driven by trust, ownership, and emotional intelligence
⚡️ Why EQ isn’t a soft skill or leadership trait—it’s a competitive edge
Leading by example at #SFTechWeek, where we moved beyond theory to show real-world AI in action. From live demos and POCs to sharing lessons on deploying AI at scale, I had the chance to engage with founders and investors—both technical and non-technical—on driving real business outcomes through AI.
Apple Intelligence has shown us that they like to keep their AI close to their chest, only letting it out to play when you give the green light.
Many businesses are chomping at the bit to explore the power of LLMs. But, the journey to harnessing this potential is often hindered by two significant obstacles 🤔
❌ The high costs associated with LLM technology adoption
❌ The nagging worries about security and data privacy
These challenges have left many organizations scratching their heads, trying to figure out how to harness the power of LLMs without emptying their piggy banks or compromising their data.
💡 Local deployment of LLMs has emerged as a solution enabling businesses to utilize AI models on their own devices or at the networks' edge.
What's going on under the hood of these local LLMs?
🔸 Model compression — LLMs are squeezed into a smaller size for efficient local storage and execution.
🔸 Hardware acceleration — Utilizing GPUs or AI chips for computations and enhanced performance.
🔸 Containerization — Organizing LLMs into containers for deployment across environments.
🔸 API integration — Local LLMs play nicely with existing software via APIs.
Why opt for a setup?
✅ You can build it your way
✅ It's a privacy powerhouse
✅ It's faster
✅ It's cost-effective and scalable
Tools like @ollama (open-source) and @LMStudioAI (closed-source) simplify the process of setting up and running local LLMs.
Ollama's simplicity caters to beginners and non-technical users, while LM Studio's advanced features appeal to those seeking greater customization and control.
With more and more local LLM tools popping up, businesses have a bunch of options to choose from. In my next post, I'll be diving into the most compelling applications and use cases for local LLMs.
If you've already implemented local LLMs in your organization and have a success story to share, I'd love to feature your experiences!
#AppleIntelligence #LLM #LocalLLMs #LocalAI #LMStudio #Ollama
Hello from the Big Apple 🏙️
I’m in NYC for a week for meetings. I’ll also be at the National Security Breakfast tomorrow by @a16z and @decisivepointvc.
DM me if you’re around, and let’s grab a coffee.
A quick throwback one week after #PlatoElevate; this is what has stayed with me —
From Shadi Rostami’s talk on leveraging #GenAI at @Amplitude_HQ — playing Sherlock to solve mysteries, troubleshooting like a boss, and gaining a deeper understanding of the systems in the process.
From Tanner Johnson's talk about cloud cost efficiency at @NotionHQ —
- Trust newbies and empower them.
- Don’t reinvent the wheel. Leverage the knowledge of experts instead.
- For everything you prioritize or invest in, ask yourself — is it worth it?
Loved Shweta's talk on platform innovation at @netflix , especially how leaders can create the conditions for their teams to experiment, collaborate, make mistakes, and learn from them. It was great chatting after about all things performance and scale!
@NetflixEng
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@qhoang09, kudos to you and the rest of the @platohq team for organizing this phenomenal event! It was a true celebration of #engineering leadership and no-BS insights!
Day 1 of #PlatoElevate hit the ground running with a fabulous session by Simi Gupta and her journey so far. It was fascinating to see her trajectory from being an engineering leader to holding many Board Advisor and Board Director roles.
#ElevateConference