Neeraj Kulkarni

Happy to announce about the release of Echovox Studio, an end-to-end, AI-powered audio-content workflow that takes you from no idea to polished audio. Shalaj Gupta, Tejesh Babu, Saurabh Radke and I have been building it for the past few months, iterating all along trying to make it as simple as possible. We focused on building a clear path: Ideation → Research → Script → Generate Voiceovers → Edit → Export Every feature is customizable enough to feel like your own studio, without drowning you in knobs and technical settings. Why build it? 💡 We spoke with dozens of knowledge creators: professionals, founders, bloggers, educators & storytellers. The same pain points kept coming up: “Lack of time.” “Struggle with content ideas.” “Too many disconnected tools: going end-to-end is a hassle.” So we created the entire connected flow together. Where we are now 🔹 Get personalized content ideas, 1-click summaries, or do research 🔹 Generate audio via your own cloned voices, 200+ lifelike AI voices, or in-app recording 🔹 Polish with smart editing: noise removal, silence removal, and more 🚀 The tool is free to use with regular monthly credits: use it for ideas, research, or complete your audio workflows. We currently support payments in INR for heavy users (global payments coming soon). Try it here: 👉 https://studio.echovox.in Product Hunt: 👉 https://lnkd.in/g3Pa4ACU If you create, or plan to create content, we’d love your feedback. Check out the quick demo and let us know what you think!

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Pleased to share that our XR team at Samsung R&D Institute India - Bangalore has secured four paper acceptances at CVPR 2026, reflecting our continued commitment to advancing research in 3D Vision and Generative Modeling. The accepted papers are: 1) HandDreamer: Zero Shot Text-to-3D Hand Model Generation using Corrective Hand Shape Guidance Green Rosh K S, Prateek Kukreja, Vishakha SR, Pawan Prasad, PhD 2) Private Eyes: Gaze-preserving Anonymization for Data Sharing Surabhi Gupta, Dinesh Prabhu, Biplab Das, Anoop Kolar Rajagopal, Kiran Nanjunda Iyer,Donghwan Seo 3) Grid Distillation: Compositional Image Distillation via Structured Generative Grids Biplab Das, Shouvik Das 4) Turbo-GS: Accelerating 3D Gaussian Fitting for High-Resolution Radiance Fields Ankit Dhiman Collectively, these works reflect ongoing research across 3D generative modeling, efficient scene representations, structured image learning, and privacy-preserving vision. Congratulations to all the authors for their sustained effort and strong technical contributions. Appreciation as well to our mentors Biplab Das, Green Rosh K S,Anoop Kolar Rajagopal,Pawan Prasad, PhD,Sathish Chalasani,Ankit Dhiman, Basavaraja S Vandrotti for their guidance and thoughtful feedback throughout the process. This progress has been shaped under the guidance of our strong SRI-B leadership of Mohan Rao, Raju Dixit with a clear focus on long-term research and innovation. Thanks to the continued support of our Suwon leadership Beomsu Kim, Won-Joon Do,Sean Choi. Proud of the team and the progress we are making together. #CVPR2026 #3DVision #ComputerVision #GenerativeAI #Research

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Generative AI and Character Design: An overview of Zuraverse's Approach I had a fascinating conversation with my best buddy, Abhishek Sagar , the founder of Zuraverse.xyz, about how his team leverages generative AI for character design. It's a complex challenge, especially for a gaming platform with thousands of unique, NFT-based characters that need to maintain consistency while remaining true to their core identity. Abhishek shared some great insights, particularly their method of creating highly descriptive character prompts. Instead of generic descriptors, they use multi-layered strategy for character design consistency: • Prompt Engineering: They use a "recipe" of descriptive elements for each character. This goes beyond just physical appearance and includes: • Core Visuals: Specific details on body shape, color palette, unique markings (scars, tattoos), and accessories (a glowing sword, a specific type of armor). • Personality & Emotional Cues: Describing a "mischievous rogue with a sly grin" or a "somber sorceress with a furrowed brow" helps the AI generate consistent facial expressions and body language. • Style Cues: They include instructions to maintain a specific art style, whether it's "hyper-realistic," "anime-style," or "dark fantasy," to ensure all characters in a specific game universe look cohesive. • Reference Images: In addition to text, Zuraverse uses a core set of reference images for each character. This allows the AI to learn and replicate a character's "look and feel" with much greater accuracy, even when generating the character in new situations, poses, or wearing different outfits. • Agentic AI for Iteration: Abhishek also gave me a sneak peek into his journey with agentic AI. They are not just using a simple text-to-image generator. They're building AI agents that can take the initial character prompt and a set of rules, and then autonomously iterate on the design. This would allow the system to generate hundreds of variations—different outfits, poses, and expressions—while ensuring each one adheres to the character's core design principles. This isn't just theory—it's a practical application of AI by industry experts to tackle a real-world problem. Abhishek also promised that he will be sharing more details in the form of hands-on examples and podcasts in the coming weeks for the benefit of new explorers in his field. Feel free to checkout what zuraverse is Upto at: Zuraverse Story: https://lnkd.in/gz6Wuc4V Zuraverse: https://zuraverse.xyz Review: https://lnkd.in/gqkTSNxK #GenerativeAI #AIinGaming #Zuraverse #CharacterDesign #NFT #Gaming #AIagents #Innovation

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Powerful takeaways from today’s “Building AI Agents for Enterprise” session with Ajay Shenoy and Abhijith Neerkaje The discussion went well beyond surface-level RAG patterns. We unpacked Retrieval-Augmented Generation from first principles through production realities—why chunking is not a preprocessing detail but a design decision, how embedding spaces influence recall vs. precision, the role of retrieval strategies under latency constraints, and why evaluation frameworks are the hardest (and most critical) part of making RAG reliable in production. A key reminder: fundamentals scale. These concepts aren’t academic—they directly determine whether AI agents can reason autonomously, retrieve the right context under ambiguity, and make defensible decisions in enterprise systems where correctness, cost, and observability matter. The Q&A stood out. Seeing seasoned practitioners deconstruct real-world failure modes—hallucinations, poor grounding, retrieval drift, and evaluation blind spots—and reason through solutions live was invaluable. This is what effective technical learning looks like: clarity rooted in experience, not abstractions. Agentic AI is no longer a future concept. As systems evolve from prompt-response to planning, tool-use, memory, and self-correction, a solid grasp of RAG fundamentals becomes non-negotiable for anyone building production-grade AI. Grateful for sessions like this—where theory meets operational reality, and learning is anchored in what actually works at scale. #AgenticAI, #LLM,#RAG, #AgenticRAG

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Agentic AI role is exponentially increasing in software development lifecycle. Janus is an agentic tool developed by Vayavya Labs that automates part of this lifecycle for code compliance. For more information meet us at nasscom ai

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Recently, I got the opportunity to be on Vishal Malhotra’s podcast to talk about AI. This wasn’t a basic “AI is the future” conversation. We discussed thing like: AI voice cloning scams AI leading to war AI replacing actors Students over-depending on tools where India stands in the AI race and even whether AI could develop self-preservation instincts you won’t just learn how you can integrate AI into your life. You’ll understand what it means for media, creativity, education, and human thinking. Because AI is not just a tech upgrade anymore. It’s a shift in how we live, create, and make decisions. Watch it now Link: https://lnkd.in/dB3dgtyp

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Ever thought Technical Management and leadership can be taught like an art class->interactive, surprising, and deeply personal? Well, that’s exactly what the FIRST TIME MANAGER , a 3 month program at Samsung R&D Institute India - Bangalore (SRI-B) felt like! In most places, technical leadership is seen as a self-acquired skill, but at SRI-B, it’s a journey we are actively nurtured into. The transition from being an Individual Contributor to a Tech cum People Leader isn’t just a job change - it’s a mindset shift. And Samsung made sure we were equipped every step of the way. Over three months of immersive classroom sessions and simulations, the First Time Manager program, curated by Samsung R&D Institute India - Bangalore in collaboration with KNOLSKAPE, gave us a toolkit that goes beyond management. It taught us to lead with purpose and empathy. Here’s a peek into the powerful lessons from trainers and leaders from SRI-B and beyond, that reshaped our thinking: 1. Emotional Intelligence – the unsung hero behind great leadership 2. Psychological Safety – why it’s the core of high-performing teams 3. Growth Mindset – adapting and evolving like never before 4. Giving & Receiving Feedback – a skill and an art 5. Coaching vs Mentoring – knowing when to ask, when to guide 6. Effective Delegation – not just assigning, but empowering 7. Trust Building – through actions that matter 8. From Doing to Enabling – letting go of the urge to "do it all" 9. Influencing Skills – moving hearts and minds, not just metrics 10. Flexing with People – my personal favorite! Learning how to adapt your leadership style based on the person, the moment, and the mission. A heartfelt thank you to our MD, Mohan Rao, for spearheading the development of young tech leaders through such a thoughtfully crafted program. Your support and foresight inspire us to lead with purpose. A huge shout-out to Manavi Pathak Ph.D. and Parth khare from Learning & Development team-your vision made this program so uniquely impactful. Thanks to Durga Girish and Khushboo Churendra for supporting us throughout the program. It’s rare to find such depth and fun packed into a leadership journey! This program has laid a rock-solid foundation for us to thrive as the next wave of empathetic, agile, and effective technical leaders at Samsung. Sharing a few glimpses from our graduation ceremony and one of the power-packed sessions with Knolscape. #Samsung #SamsungResearch #LeadershipJourney #FirstTimeManager #SRIB #Knolscape #GrowWithSamsung #TechLeadership #PeopleLeadership

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I had the pleasure of talking about AI in Healthcare and the need and opportunity for collaboration between Academia and Industry to accelerate innovation. It was an enriching experience at the event organized by the Mehta Family Foundation and IIT Guwahati. I really liked the intriguing questions posed by Kriti Sutwala and hope some of my responses resonate with PhD scholars and stakeholders from the industry interested in using AI for healthcare. #Solventum #EthicalAI #HealthcareAI #HealthTech

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How can I ride the AI wave through public markets in India? I asked this research question on ChatGPT 5Pro: "Which industries and subsequently type of companies will benefit substantial from the introduction of AI in mainstream business? Research recent past results of public companies, earnings calls of ceos and cfos and discussions to provide insights What’s the purpose of this report? As a public market investor in India, I want to get ahead of the curve and invest in publicly listed companies (from any industry) that will benefit from AI in their earnings over the next few quarters, thereby providing an edge for investing in them before the market catches on." The answer is available to read as a PDF in the link below! (Gimme feedback if this helps you and you want more! Also, if you wanna partner with me on researching and investing in Indian/Global markets, just ping or write me at alok@Games2win-dot-com #Dhandhekibaat https://lnkd.in/dp47ZCVZ

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🚀 Fine-Tuning Small Language Models (SLMs): A Step-by-Step Guide As AI adoption accelerates across industries, Small Language Models (SLMs) are emerging as powerful, cost-effective tools for domain-specific tasks — especially in regulated sectors like healthcare. Here’s a practical guide to fine-tuning SLMs for your enterprise use case: 🧠 Step 1: Define the Use Case Start with a clear objective — e.g., member journey optimization, clinical note summarization, or marketing content classification. 📦 Step 2: Prepare the Dataset Curate high-quality, domain-specific data. Clean and tokenize text. Ensure compliance with data privacy (HIPAA, etc.). 🏗 Step 3: Choose the Right SLM Options: TinyLlama, DistilBERT, BGE-Small, etc. Consider model size, latency, and inference cost. 🛠 Step 4: Set Up the Environment Use Databricks, Hugging Face, or Azure ML. Leverage GPU clusters for faster training. 🔁 Step 5: Fine-Tune the Model Use transfer learning with domain-specific data. Apply techniques like LoRA or QLoRA for efficiency. Monitor training loss and validation accuracy. 🔍 Step 6: Evaluate & Test Use benchmark datasets and real-world samples. Measure precision, recall, F1-score. Perform bias and safety checks. 🚢 Step 7: Deploy Securely Containerize with Docker. Use Azure endpoints or Databricks Model Serving. Implement RBAC and audit logging. 📈 Step 8: Monitor & Improve Track performance in production. Collect feedback and retrain periodically. 💡 SLMs are not just lightweight — they’re agile, interpretable, and ideal for enterprise AI. If you're working in healthcare, MarTech, or regulated domains, now is the time to explore their potential. Let’s connect if you're exploring SLMs for your next AI initiative! #AI #SLM #Databricks #HealthcareAI #MarTech #FineTuning #LLM #AzureML #MLOps #EnterpriseAI #DataScience

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India is at a defining moment for medical diagnostics AI. We have scale, diversity, clinical expertise & encouraging to see that we are now building the data foundation. Initiatives like IndiaAI’s #AIKosh are emerging as a national, permissioned data layer. To move from pilots to real impact, we need more high-quality, diverse, clinically validated datasets. Iam working on a project in this area & would love to collaborate with India #healthcare data partners. #MedicalDiagnostics #AIhealthcare #Aidiagnostics https://lnkd.in/dJR475tK

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