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• A technologist with experience in building large scale distributed platforms.
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Raghuveer C. reposted thisRaghuveer C. reposted thisOrthopaedic Surgeons Warn, Irrespective of AGE - NEVER Climb On Stool Unattended.Plastic Stools, Aluminium Ladders NEVER. Watch the above video and take precautions. Avoid Falls & Be Safe... Video Credits - Aduarte...Please Repost for Maximum Reach...🌿🌿
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Raghuveer C. shared thisGenerative AI is going to be a game changer for writing narratives like: Press releases Product manuals Technical writing Release process Any generic verbose content For the above and many more most of them can be used as is with some minimal changes as per one's context. Microsoft's embedding in their office suite of products will be a killer app.Raghuveer C. shared thisBreaking:🔥 Microsoft just launched 365 Copilot, and it's insane. It's essentially ChatGPT for: -Word -Excel -Powerpoint -Outlook -Teams Check out the demo
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Raghuveer C. shared thisSo true. It's like the proverbial which came first - the chicken or the eggRaghuveer C. shared this**** If you want venture returns, take the venture risk. **** So true, esp in developing VC markets like India. The world is full of second believers who only want to follow a lead fund’s conviction. And it’s often frustrating for founders, and for first believer VCs. If you want venture returns, take the venture risk. Don’t borrow conviction.
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Raghuveer C. shared thisWe are happy to add value to the buyer and fulfilled their dreamsRaghuveer C. shared thisWe sold this property on @Hecta. Nothing beats the excitement when the buyer gets the possession and shares the joy with our team. #bankofbaroda #bob #property #plot #customer #sales #possession #joy #excitement
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Raghuveer C. shared thisWhy Zara Succeeds: It Focuses On Pulling People In, Not Pushing Product OutWhy Zara Succeeds: It Focuses On Pulling People In, Not Pushing Product Out
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Raghuveer C. shared thisRaghuveer C. shared thisvirtuality Add augmented reality overlays to your everyday view.
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Raghuveer C. shared thisNeed Funding for Your Startup? Here’s What VCs Want to SeeNeed Funding for Your Startup? Here’s What VCs Want to See
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Raghuveer C. shared thisRaghuveer C. shared thisHere is an example of the Augmented Reality (AR) work we are currently developing. A portal door that allows you to visit a school in Worcester without leaving London. Just imagine the possibilities for this technology.
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2mo
Very well captured. Useful and relevant to most folks whatever stage is working stage journey. Simple and minimalistic in how you have articulated based on first hand experience Amit Chopra
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Raghuveer C. liked thisRaghuveer C. liked thisTech is quietly killing skills most people don’t even realize they’re losing. These aren’t just nostalgic losses. They’re mental muscles. Not every lost skill matters. Some are obsolete, and that’s fine. But some are foundational: sustained attention, working memory, spatial reasoning, verbal fluency, emotional attunement, tolerance for uncertainty. Those underpin learning, relationships, creativity, and citizenship. Remember, machines may not destroy us as is being predicted. But they will make us less ourselves. So for any skill you want to keep, never let the tool go first. #technology #ai #skills
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Raghuveer C. liked thisFirebolt is 🔥 TLDR: My team at Esper has developed a tool to flip the operating system on your Point-of-Sale from Windows to Android. Remotely, and no bricking guaranteed. With hardware life extended and low fee AOSP, save on capex and opex! You just made IT and Procurement happy at the same time.Raghuveer C. liked thisWindows 10 LTSB 2016 sunsets October 13th. If you bought POS or kiosk hardware anywhere between 2016 and 2021 you are most likely running it right now. After that date Microsoft stops patching it. For devices that take credit cards that is a compliance problem not just a software one. I put together a short video at Esper breaking down what your actual options are. One of them surprised most people I talked to. ↓
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Raghuveer C. liked thisRaghuveer C. liked thisAI has made it easier than ever to look like an architect. Give an AI tool a prompt and within seconds you can have: → A multi-agent architecture → RAG pipelines → Event-driven services → Kubernetes → Vector databases → Guardrails → Observability → A beautiful architecture diagram It can look enterprise-ready. But there’s a problem. Architecture isn't the diagram. The real test starts after the diagram. What happens when the agent makes the wrong decision? What happens when retrieval returns poor evidence? What happens when an external API is unavailable? What happens when traffic suddenly grows 20x? Who owns state? Where are the boundaries between agents? What gets automated and what requires human approval? How do you control latency and token costs? How do you observe failures across a workflow that spans models, tools, APIs, queues and databases? And when something breaks at 2 AM… Can you actually reason through the system? This is where I think the role of the AI Architect is evolving. We're no longer designing only applications and services. We're designing socio-technical systems where software, AI models, data, infrastructure, security, governance and humans all interact. The architect's job isn't to put more boxes on the diagram. It's to establish the right boundaries, make the hard trade-offs, reduce unnecessary complexity, and create a system that can actually operate at scale. And yes, I still believe architects need to stay close to engineering. You don't have to write every service. But you should understand enough of the implementation to challenge the design, investigate failures, and know when an elegant architecture is actually a terrible system. In the AI era, architecture is becoming easier to generate but harder to own. That's why I believe the best architects will be the ones who can move comfortably between: Business → Architecture → Engineering → Production Not just draw the boxes. Own the decisions behind them. What do you think the AI era will change most about the role of the AI Architect? #AIArchitecture #EnterpriseArchitecture #AIEngineering #SoftwareArchitecture #SystemDesign
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Raghuveer C. liked thisEven though the post below is an obvious AI composition the data is worthy of a repost. And…for those of you keeping score, @Meta is still working hard to be the worst led company in technology.
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Raghuveer C. liked thisRaghuveer C. liked thisThis is the city we wish to live in ❤️ Bangalore is just not the city of language disputes , it is also the city of innovation and kindness This is the reason I fell in love with this city - where someone who dosent speak your language , understands your heart ❤️ Kudos ❤️
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Raghuveer C. liked thisRaghuveer C. liked thisBangalore's newest nightlife trend is people paying to attend a college-style lecture inside a bar. Harsh Snehanshu, Shruti Sah and Meghna Choudhary started a bar called Pint of View in 2025. The whole point is to get real academics into neighbourhood bars and let them talk about whatever they actually study - bat ecology, neuroscience, textile history, literature. In Bengaluru alone, they now run about 12 of these a month. Around 100 people show up each time, paying roughly 1,000 rupees a ticket. As per YourStory, that comes to about ₹1.2 to ₹1.5 crore/year. The audience is largely adults who want to keep learning outside formal education, without the pressure of degrees, exams, or career outcomes. People are paying for a combination of learning + entertainment + community. They’re increasingly spending their disposable time: not just consuming entertainment, but participating in experiences that leave them with something to talk about afterwards. Maybe we didn't get bored of learning. We got bored of learning that came with homework attached. Would you pay ₹1,000 for a night like this?
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Raghuveer C. liked thisRaghuveer C. liked thisIn Esper, scanner configuration for Zebra Android devices runs through Blueprints. A blueprint is the declarative definition of what a device should look like: apps, policies, network config, and now scanner settings. When you add scanner configuration to a blueprint, it deploys and enforces alongside everything else. Three configuration methods are supported for Zebra scanner config inside Blueprints today: > DataWedge Profile Deployment: Export the .db file that defines your DataWedge profile from your reference device or StageNow, attach it to a blueprint, and deploy. Every device that receives that blueprint gets the same scanner behavior: symbology selection, intent configuration, data formatting rules. No StageNow barcode staging per site or manual file copying per device. > MX configuration via XML: Zebra's MX framework exposes hardware-level controls: symbology enable/disable, trigger mode, connectivity settings, kiosk parameters, power management. Export the MX XML and upload it into the blueprint configuration, and those settings deploy as part of the blueprint lifecycle (MX 11–13 is the supported baseline). > OEMConfig Managed Configurations: Add Zebra's OEMConfig app and set device policies through Blueprints — select settings directly or paste/upload a JSON config, and the blueprint delivers it to every enrolled device. Covers the settings Zebra exposes through OEMConfig, with schema-driven fields instead of hand-built files. No JSON authoring from scratch. Plus, it’s not a separate deployment path: it publishes and converges with the rest of the blueprint settings. Both methods run through the same RBAC and policy controls that govern every other blueprint setting. The same roles that control who can modify app policy or network config also control who can modify scanner settings. > Full breakdown in 💬 #DeviceInfrastructure #FleetManagement #RuggedDevices
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Raghuveer C. liked thisRaghuveer C. liked thisEsper Firebolt converts x86-based systems running Windows 10 IoT Enterprise LTSB 2016 directly to Esper Foundation for Android — Learn more from Keith Szot on the blog: https://lnkd.in/eW3DQK99
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Raghuveer C. liked thisRaghuveer C. liked this'I can't get to the gym'. I've trained in hotel rooms, living rooms, and airport terminals during a decade of professional sport. Here are the 5 bodyweight exercises I keep coming back to — and how to actually do them: 1. Push Ups Muscles targeted: ▫️ Chest ▫️ Shoulders ▫️ Triceps Do them right: ▫️ Shoulder-width hand position ▫️ 3-4 second eccentric — no momentum ▫️ Lower until sternum touches the floor ▫️ Explode back to the top Do these too fast and you get nothing. Slow down. 2. Squats Muscles targeted: ▫️ Quads ▫️ Glutes Do them right: ▫️ Feet flat — whole foot in contact with the floor ▫️ Drop hips straight down ▫️ Drive toward femur parallel with the floor ▫️ Control the descent — don't drop Depth beats load every time at this stage. 3. Lunges Muscles targeted: ▫️ Quads ▫️ Glutes ▫️ Hamstrings Do them right: ▫️ Chest up, eyes forward ▫️ Slow eccentric — own the movement ▫️ Back knee stops just before the floor ▫️ Drive through the front heel to return Knee issues? Move the front foot further forward. 4. Reacher Row Muscles targeted: ▫️ Rear delts ▫️ Upper back ▫️ Core Do them right: ▫️ Chest elevated, back neutral ▫️ Elbows back — squeeze hard at the top ▫️ Full range of motion ▫️ Core braced Most overlooked bodyweight movement for posture. Desk workers — non-negotiable. 5. Bird Dog The exercise most skip. The one they need most. Muscles targeted: ▫️ Core ▫️ Lower back ▫️ Glutes Do them right: ▫️ Back flat, hips level — don't rotate ▫️ Extend opposite arm and leg fully ▫️ Slow and controlled — stability is the point ▫️ Hold before returning 5 exercises. Every major muscle group. Zero equipment. 1 → Push Ups 2 → Squats 3 → Lunges 4 → Reacher Rows 5 → Bird Dogs Progress them over time — more reps, slower eccentrics, shorter rest. Add a resistance band or dumbbells and your options double overnight. I used variations of these through my professional athletic career. Not because I had to. Because simple movements executed with precision and consistency build real results. The gym is a tool. Not a requirement. Add nutirtion + recovery and you have a system that works. PS. Want a bespoke system built around your schedule that guarantees you'll optimize your health permanenlty? 17 years. 1000+ transformations. Zero guesswork. DM me 'APEX' now for more info. Or skip the cue and apply direct now → https://lnkd.in/g_YUxfun
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Bharat Krishnamurthy
Bharat Krishnamurthy
At Yubi I led the ground-up rearchitecture of the entire lending stack into BankingOS - a unified platform now processing 200,000 loan applications a day for 60+ banks and 150 fintechs across India, MENA, Southeast Asia, and the USA. We migrated from a fragmented Ruby on Rails codebase to a modern API-first microservices stack on Java, PostgreSQL, Kafka, Kubernetes, and Temporal to be cloud-agnostic and on-prem ready, spanning Co-lending, Digital Lending, Supply Chain Finance, Securitization, LOS, LMS and 15+ asset classes. I'm in the architecture reviews, the customer steering committees and the go-live warrooms in the same week. <br><br>My background is unusually wide for a fintech CTO: <br>- Life and General Insurance (Exide Life / HDFC Life, Paytm Insurance Broking)<br>- Wealth and Equity Trading (Paytm Money - 7M MAU) <br>- Enterprise Cloud and Infrastructure (IBM Research - 7 years, 2 US patents, ACM/IEEE publications) <br>- Startup founding (Thinix, USA. Co-founded, scaled to cash flow positive) <br><br>At Paytm, I scaled up the wealth management stack from 1-10 and built the General Insurance stack from zero. I also scaled up the Insurance Broking business and enabled new product lines and manufacturers on the marketplace.<br><br>At Exide Life as CTO, I transformed an outsourcing-dependent tech org into a 220-engineer in-house team during a difficult financial period, a transformation that contributed to doubling AUM from ₹7,000 Cr to ₹15,000 Cr within 18 months. <br><br>I operate across the full CTO stack, which means that I go deep enough to lead architecture and code reviews, broad enough to own P&L, board reporting, investor relations, and CXO advisory across international markets. <br><br>Right now I'm most energised by agentic AI in banking. We've rebuilt our development process around AI - what is referred to as AIDLC (AI-driven development lifecycle) cutting engineering costs by 50% and improving velocity by 25%. The next frontier is customer-facing agentic capabilities: AI that actively drives lending outcomes, not just assists them. <br><br>Currently, I am focused on leveraging the wide array of products built at Yubi to imagine new business opportunities. I'm always open to conversations about what technology looks like in the next phase of fintech.
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