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I build the systems companies run on - and the teams that run the systems.
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Sudhakar Jukanti shared thisEvery revenue organization is making AI design choices right now, whether deliberately or by default. Three of those choices will shape everything else: 1) Does intelligence become infrastructure you own, or a feature you rent inside every tool in your stack? 2) Which decisions can you delegate to AI, and which ones still require human judgment and accountability? 3) When a small team with AI can build what once required a vendor, how does that change the build vs buy equation? I spend my days on these questions at Anyscale. Revenue organizations that get these foundations right early will compound that advantage for years. On Aug 28 at 2 PM PST, I'm joining the GTM Council briefing on first principles of building an AI-native revenue organization, alongside Mark Deacon and Chris Schwass, with Amrutha Suresh moderating. We'll each share what we're learning from doing this work inside real companies. Link to register: https://lnkd.in/g-xRscyzSudhakar Jukanti shared thisAI in GTM is a huge topics and I'm so excited for this session organized by Amrutha Suresh It brings together 4 awesome GTM Council members to share their insights on driving AI GTM transformation pumped for this Sudhakar Jukanti Mark Deacon Chris Schwass FYI Noah Marks link to register in comments
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Sudhakar Jukanti shared thisExcited to share that Anyscale has entered into an agreement to be acquired by Nscale. Together, we will make AI infrastructure simpler, more reliable, and more efficient, all while doubling down on openness and portability of Ray. Read more: https://lnkd.in/gisRsAxPNscale Acquires Anyscale, Enhancing its Full Stack AI Cloud Platform | NscaleNscale Acquires Anyscale, Enhancing its Full Stack AI Cloud Platform | Nscale
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Sudhakar Jukanti reposted thisSudhakar Jukanti reposted thisRay Summit is less than one month away! 🤯 ‼️ Last week, Jensen Huang used his first-ever X post to share a letter — signed by 70+ companies (and growing) on why an open AI ecosystem matters. An open model is an important component to that, but so is your ability to train, adapt, and run it. If the model is open but the compute layer underneath is proprietary, you've just traded one lock-in for another. That's why the AI Compute Engine has to be open source too; and that's Ray. Sure, I sell a commercial platform at Anyscale, but it only succeeds because of the vibrancy and growth of the Ray community. It's even more fitting that two of the letter's signatories in NVIDIA & Microsoft AI will be at Ray Summit sharing how they use Ray to build their open models. Ray Summit brings together builders, platform leads, executives, and researchers who are training foundation models, constructing multimodal pipelines, and executing reinforcement learning at scale. New this year: the first vLLM Conference at Ray Summit, bringing together the engineers and researchers advancing open, high-performance inference. I've had the privilege of collaborating with some of these talented teams who will be presenting their work at Ray Summit, and I'm especially excited to see two of their leaders take the main stage: Andrew Beam with Lila Sciences and Felix Heide with Torc Robotics. Ray Summit 2026 promises to be even bigger and better than ever before. Check the comments for details. 👇
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Sudhakar Jukanti reposted thisSudhakar Jukanti reposted thisEarly bird pricing for Ray Summit 2026 is extended through July 17. $200 for a Summit pass, $250 for Summit + Training, and rates go up after that. The full agenda is live, with teams from Google, Apple, Microsoft, Uber, Spotify, JPMorgan Chase, BMW, and many more. Banking, automotive, ride-hailing, drug discovery, mental health care, and more. Different industries, same scaling problems. San Francisco, Marriott Marquis, August 24–26. Register → https://lnkd.in/gqHdq__N
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Sudhakar Jukanti reposted thisSudhakar Jukanti reposted thisThe Ray Summit agenda is live! (SF Aug 24-26) Ray Summit brings together engineering and platform teams focused on development and deployment of frontier AI, making it one of the leading gatherings for end-to-end AI infrastructure. If you're building the next generation of AI systems, this is where you'll hear how leading teams are taking them from research to production. Specially on topics such as: 🧠 Reinforcement Learning Learn how teams are scaling RL for reasoning models and agents from Microsoft AI, Lila Sciences, Alibaba, Pinterest, Notion, Nvidia, RadixArk, and Torc Robotics. 🤖 Physical AI See how autonomy and embodied AI are being built at companies including Bedrock Robotics, Latitude AI, Torc Robotics, Hyundai Motor Company, Mimic Robotics, Motive, Samsara, Zoox & more. 🖥️Other Frontier AI Check out how teams are building AI at scale at Adyen, Anyscale, Apple, Autodesk, AWS, Robinhood, CoreWeave, Cubist / Point72, Discord, Google, Grab, Heartflow, JPMorgan Chase, LanceDB + Exa, Luma AI, Microsoft, Nebius, Netflix, Recursion Pharmaceuticals, RedNote, Sondermind, Spotify, and Xoople. 🎟️ Full Agenda and Registration: https://lnkd.in/ge5Yy7gQ
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Sudhakar Jukanti reposted thisSudhakar Jukanti reposted thisRobert Nishihara says “Inference is a subroutine of larger more complex AI pipelines”. This is a very succinct way to understand what is happening in AI right now. AI projects are graduating from custom inference to custom models. The business imperative is shifting from simply lower costs to owning a moat. The moat is the data and the AI learning loop. Learning loops require complex orchestration of rollouts, data, evals, policy updates and more across a heterogeneous compute estate of GPUs and CPUs. Inference is a subroutine in this context. It’s still critical. But a part of a whole that is more complex. For this new era of AI, composability becomes a key aspect without giving up on performance. Ray is the backbone for this era with Ray Serve as the most ergonomic way for developers to compose model serving as a part of the AI learning loop. But that is not an excuse for lower performance. Performance still matters in this context. This is why we have focused on improving Ray Serve performance 4.4x for prefill and 28x for decode stages. We are excited for what this does to unify the disparate parts of the AI learning loop into a single cohesive AI backbone for all your varied workload needs. Read more about the performance optimizations in this blog: https://lnkd.in/gVdsg7cj Try it out in Ray 2.56 or easier still on Anyscale, and join us on the Ray Slack to share feedback!High Performance Distributed Inference with Ray Serve LLM | AnyscaleHigh Performance Distributed Inference with Ray Serve LLM | Anyscale
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Sudhakar Jukanti reposted thisSudhakar Jukanti reposted thisOne of the biggest shifts happening in AI right now isn't about model intelligence. It's about control. Over the last two years, APIs have been the fastest path from idea to application. They helped organizations experiment quickly and prove value. But as AI moves deeper into production, many enterprises are running into two realities: (1) The capabilities available to them are increasingly defined by model providers. Recent launches have shown how new limits are being put in place to build differentiated AI systems. (2) The economics become harder to predict. As model providers look to monetize beyond infrastructure costs, organizations face rising per-token costs. For many enterprises, the question is shifting from "How do we use AI?" to “How do we own our AI?” The shift from renting to owning intelligence means controlling where models run, where multimodal data is processed, and how costs scale. Ultimately with the goal of creating a competitive advantage. This is exactly why we're excited about the Anyscale on Azure announcement at Microsoft Build. We're already seeing this transition with companies like Xoople and Wayve. These AI-native organizations were among the first Azure customers to move beyond experimentation and build AI platforms that give them full control over their data, models, and infrastructure. Today, more enterprises are following the same path. Anyscale on Azure, now available to all Azure users is the foundation to that path: https://lnkd.in/gCggHp3EAnyscale Launches on Microsoft Azure as a Native Integration for Enterprises to Build Sovereign AI and Take Control of Variable API CostsAnyscale Launches on Microsoft Azure as a Native Integration for Enterprises to Build Sovereign AI and Take Control of Variable API Costs
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Sudhakar Jukanti reposted thisSudhakar Jukanti reposted thisWe are ecstatic to share that Anyscale, the AI compute platform and creator of the Ray open-source project, today announced the public preview of Anyscale on Microsoft Azure. Built on Azure Kubernetes Service (AKS) and Azure Resource Manager (ARM), this Azure native integration allows enterprises to build and operate production-scale AI workloads entirely within their own Azure tenancy, with the same security, identity, billing, and operating model as other Azure services. Huge congrats to the amazing Anyscale team- Robert Nishihara, Ion Stoica, Philipp Moritz, Keerti Melkote, Pradeep Iyer, Lanbo Chen, Jooree Na, Julian Forero, Katarina Stanley, Lou Serlenga, Chad Carlisle,Anirudhya (Arnie) Dasgupta and the awesome Microsoft team- Sam Sudakoff, Mahek Prasad, Ryan G., Sanjay Vara, @Ken Kitty,Brendan Burns, Subhav 'Bob' Mital, Nate Waters, Bethany Cordes, Kenny Schulman, Vini Carvalho, Jinyu (Jinn) Zhou on this incredible collaboration! Click here to learn more: https://lnkd.in/gXUdS-hr Meet the Anyscale at Build. Grab a slot right here to meet a team member: https://lnkd.in/ggyAkdeB #microsoftBuild #AINative #Microsoft
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Sudhakar Jukanti reposted thisSudhakar Jukanti reposted thisRay Summit is back. San Francisco, Marriott Marquis, August 24–26. Three days on the four frontiers shaping AI right now: → Foundation Model Training → Multimodal Data Curation → Physical AI → LLM Reinforcement Learning Keynotes confirmed from Felix Heide (Torc Robotics), Ioannis Antonoglou (Reflection), and Kevin Peterson (Bedrock Robotics), with more to come. Three ways to be part of it: 🎟️ Register at early bird pricing before rates double 🎤 Submit a talk – CFP is open to teams running Ray in production 🤝 Sponsor the summit and reach the builders shaping what's next in AI Full details: https://lnkd.in/ggnZex9v
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Sudhakar Jukanti liked thisI am not much of a "post" kind of person but this is one moment in my career where I felt I needed to mark for later as not just a fond memory, but a pivotal moment in my career. At every turn, every company change, every leadership change, a change in industry, I always walk away with so much more. Especially through the lens of Compensation and Total Rewards where it can be criticized or applauded, a Philosophy that can make or break the trust of the employees, and have a great impact on the culture. I am always super grateful to the companies that gave me the opportunity, the leaders who took a chance on me, and the changes in itself that helped me realize why I love what I do and why I want to continue to do it. This week marks the end of my Confluent journey where I have been for the last 4+ years. My career has gotten increasingly more fun and exciting and Confluent was at the pinnacle (until the next opportunity of course). Thank you for taking a chance on me Cameron Lazek and bringing me into this amazing organization with Jay Kreps vision and leadership. Thank you to all the leaders in the business I've had the opportunity to partner with and more importantly, learn from: Stephen Deasy, Shaun Clowes, Rey Perez, Rohan Sivaram, Stephanie Buscemi and all of your LTs. The leadership team that had such a profound impact on how I now think about Compensation, Rewards, and their importance; and taught me new meanings of the words "impact", "leadership", and "empathy" in the workplace Colleen McCreary (Wheeler), Ashleigh Anderson, Josh Norris, and Sam McLeod, CCP, GRP and the entire People team/People leaders (PBPs, Ops, HRIS, TA). Last but not least, thank you to the most amazing Compensation team to work with day in and day out Jeremy Shortell, Annie Schwiderski, Abhishek Rawat, and Courtney Dunbar. Every single colleague I've had a chance to work with, thank you for your questions, challenges, support, and friendships. Cheers to Confluent's future growth with IBM! As for me, I'm looking to continue my journey where I can continue to use compensation to support your business and talent strategies, create philosophies and programs that are applauded, to build and maintain trust in employees, and create a positive impact on your culture! It's been such a great run! Now bring on the next adventure!
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Sudhakar Jukanti liked thisSudhakar Jukanti liked thisI am very excited to share that I’m joining Meta as Chief Enterprise Platform Officer to lead Meta’s enterprise efforts reporting to Mark Zuckerberg. This newly formed unit will focus on translating Meta’s AI leadership into transformative products for developers and businesses. The first wave of AI tremendously changed what individuals could accomplish. Over the next few years, businesses of every size will rebuild how they innovate, sell, and serve customers, and run day to day efficiently using AI. Businesses will be able to reinvent entire workflows: from product development and customer engagement to decision-making and, ultimately, scale Meta has a rare advantage in this transition: advanced AI models, large-scale infrastructure, and agents paired with an ecosystem that already helps millions of advertisers and hundreds of millions of businesses grow and succeed. Bringing those strengths together creates the opportunity to build an entirely new enterprise platform. I’m deeply grateful for the opportunity to lead this effort and excited for everything we’ll build with our customers. I want to thank the incredibly talented people I had the privilege of working with at MongoDB. Getting to build the leading modern data platform for the multi-cloud AI era alongside such an exceptional group of people was truly special. It was an absolute honor serving a growing community of MongoDB customers.
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Sudhakar Jukanti liked thisSudhakar Jukanti liked this𝗘𝘃𝗲𝗿𝘆 𝗔𝗜 𝗰𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗵𝗮𝘀 𝗴𝗿𝗲𝗮𝘁 𝗱𝗲𝗺𝗼𝘀. The harder question comes after the demo: 𝗛𝗼𝘄 𝗱𝗼 𝘆𝗼𝘂 𝗽𝗿𝗶𝗰𝗲 𝗮𝗻 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁, 𝗮𝗻𝗱 𝗱𝗼 𝘆𝗼𝘂 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗺𝗮𝗸𝗲 𝗺𝗼𝗻𝗲𝘆 𝗼𝗻 𝗶𝘁? That’s the conversation we’re bringing to 𝗧𝗵𝗲 𝗔𝗜 𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗶𝗻 𝗦𝗮𝗻 𝗙𝗿𝗮𝗻𝗰𝗶𝘀𝗰𝗼, 𝗦𝗲𝗽𝘁. 𝟮𝟵 𝘁𝗼 𝗢𝗰𝘁. 𝟭 𝗮𝘁 𝗣𝗶𝗲𝗿 𝟰𝟴. Our founder, Venkat Kam, and the Revinci team will be there talking about what happens when AI moves from 𝗱𝗲𝗺𝗼 --> 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 --> 𝗿𝗲𝘃𝗲𝗻𝘂𝗲. SaaS was built around seats. AI runs on 𝘁𝗼𝗸𝗲𝗻𝘀, 𝘁𝗼𝗼𝗹 𝗰𝗮𝗹𝗹𝘀, 𝘂𝘀𝗮𝗴𝗲, 𝗮𝗻𝗱 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀, which makes pricing and margins a very different problem. A few questions we’re looking forward to: 🔹 What breaks when agents meet real customers and real usage? 🔹 When does inference cost become a margin problem? 🔹 How are teams pricing AI today? At the top of our session list is The New Economics of AI Fireside chat with Chris Clark of OpenRouter and Malika Aubakirova. We’re also looking forward to sessions from João (Joe) Moura(CrewAI), Ion Stoica (Databricks), and Chris Lattner(Modular, a Qualcomm company). 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴, 𝗽𝗿𝗶𝗰𝗶𝗻𝗴, 𝗼𝗿 𝘀𝗲𝗹𝗹𝗶𝗻𝗴 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀? Come find us, or message the page and let’s grab coffee between sessions. ☕ We’ll be sharing what we learn throughout the week. #TheAIConference #AgenticAI #AIAgents #AIPricing
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Sudhakar Jukanti liked thisSudhakar Jukanti liked thisThanks to everyone that joined us yesterday for part one of why #Quote-to-Cash is broken This afternoon we are continuing the conversation with a focus on Manufacturing. So please join Srinivas Vemuri Kristina Collie and Raj Saladi at 2:15 at Amber India
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Sudhakar Jukanti liked thisSudhakar Jukanti liked thisAfter an amazing 9 years, it’s time for me to say goodbye to Apttus / Conga. Nine years is a long time, and it’s hard to capture everything that this chapter has meant to me in one post. I’ve had the opportunity to work with incredible customers, tackle some incredibly challenging problems, build teams and capabilities, and grow tremendously along the way. Most importantly, I’m grateful for the people. To the amazing team I had the privilege of leading and working alongside- Derrick Herbst, Bob Sprague, Schuyler Van Ark, Coleman Davis, Arooj Chughtai, and Adam Rellig thank you. I’m incredibly proud of what we accomplished together. Thank you to the most amazing Presales Mgmt. Team one could ask for; Jerry Coalson, Jon Grimm, Joshua Dials, David Rothenbucher and Steve Bradburn A special thank you to Nick McCoy - what an amazing 9yrs it has been! I also want to thank my peers across Conga. There are far too many of you to name individually, but you know who you are. The collaboration, the big wins, the tough deals, the late nights, and yes, the occasional whiskey. Conga has been a huge part of my career, and I’ll always be grateful for the relationships, friendships, experiences, and lessons from these nine years. I’m excited about what’s next and looking forward to sharing more very soon.
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Sudhakar Jukanti liked thisSudhakar Jukanti liked thisLast week, after the IBM acquisition, I wrapped up my time at Confluent. Like any job, there are things I look back on with pride and, obviously, always things that could have gone better. It was the first time I had been CPO at an “already” public company, rather than helping two companies go public as CPO. It was my first all-remote company (except COVID times). More importantly, I took this role as a jump back into operating after a side street into venture capital. It reignited my passion for being the HR Lady. HR is highly misunderstood. I joke that it’s the only job on an executive management team that every other leader thinks they can do - as does every other employee in the company. Our work touches almost every aspect of a company, and building the systems and tools that support the management team’s culture is a giant team effort; that teamwork and the opportunity to make an impact really inspire me. We can do things to make somewhere a great place to do work. It’s still work, but we can do our best to create the conditions that help people feel their time and work are valued, that we make an impact for customers, and that we are a workplace people are proud be from. I’m incredibly thankful to Jay Kreps for trusting me with his company and to the leadership team that built a partnership to help lead through this acquisition by IBM - Stephen Deasy , Shaun Clowes, Rebecca Chavez, Stephanie Buscemi , Maddie Chavez, Rohan Sivaram, Ryan Mac Ban. I'm also equally proud of the work I did with my own productivity organization, led by Sam McLeod, CCP, GRP, Josh Norris , Scott Wong , Chanae Alexander, Lauren Clark , Juliet Peniston , Ashleigh Anderson, Brad Michael, and Wooten Schmitz. The entire Confluent team was incredible high talent and will be a jewel in IBM’s portfolio. I’m still not quite ready to retire, and I'm doing the company meet & greets/interviews/dating right now to see what comes next … but I know that even in the age of AI, great people with good judgment matter more than ever, and finding a team that embraces this hypothesis is most important as I figure it out.
Experience & Education
Volunteer Experience
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Co Founder
Sangam Trust
- Present 22 years
Education
- Provide scholarship to bright students who can't afford to pay for their college fees.
- Coaching / Mentoring students on career opportunities.
- Given scholarship to 100 + students worth of Rs. 2M.
Honors & Awards
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OAUG Presentation - Oracle Label Security
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Presented on Oracle Label Security (OLS) and it's usage in Oracle E-Business suite at OAUG conference in November 2012
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Certified Scrum Product Owner (CSPO)
Scrum Alliance
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Project Management Professional (PMP)
Project Management Institute
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Ramesh Rajagopalan
Ramesh Rajagopalan
As a CX Transformation Sales Leader, my mission is to drive growth by solving critical customer experience (CX) challenges. I lead the sale of transformative, AI-powered solutions, securing the strategic, multimillion-dollar deals that power business success, with a sharp focus on the healthcare industry.<br><br>With over 20 years of experience, I excel at leading high-performing teams and partnering directly with C-suite executives. My approach is consultative and results-driven: I diagnose an organization's most pressing needs and translate them into concrete, technology-infused solutions that deliver significant ROI. I have a proven ability to not only win new business but also to turn around at-risk accounts and build them into lasting, high-value partnerships.<br><br>This strategy has enabled me to consistently deliver measurable results, including generating a $500M+ sales pipeline and closing enterprise contracts in excess of $75M annually.<br><br>If you are a leader focused on leveraging technology to build a world-class customer experience and drive revenue, I welcome a connection.<br><br>Areas of Expertise:<br>* CX Transformation Sales Leadership<br>* Strategic & Consultative Selling<br>* High-Value Deal Closing <br>* Go-to-Market (GTM) & Commercial Strategy<br>* AI-Powered Digital Solutions<br>* Healthcare Payer & Provider Markets<br>* C-Suite Partnership & Negotiation<br>* At-Risk Account Turnaround & Growth
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