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A dedicated post to introduce your brand to my audience.
Adarsh J
Building AI Employees | Impact First | 4× Hackathon Winner | Worked under 6 IIT’s projects , 4 startups |
Open to collaborations
Companies pay Adarsh to write a post about their product on LinkedIn.
This page is where they book it. Below: Adarsh's audience, recent posts and price. Naano, the platform behind this page, handles the brief, your approval of the post and the payment.
€3,750per post, fixed price
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About Adarsh J
Building intelligent AI systems at the intersection of LLMs, Agentic Workflows, Backend Engineering, and Applied Research. I focus on designing production-oriented AI architectures that move beyond simple chat interfaces toward autonomous execution, reasoning, and real-world decision intelligence. My work spans: • Multi-Agent AI Systems • Generative AI & LLM Applications • AI Workflow Automation • Computer Vision & Healthcare AI • Backend Infrastructure & Scalable APIs • AI Orchestration & Decision Systems Currently contributing to enterprise AI initiatives while building systems that combine reasoning, automation, retrieval, and execution into cohesive intelligent platforms. Over the past few years, I’ve worked on: • AI-powered Glaucoma Detection Systems achieving high segmentation accuracy • Autonomous Marketing & Workflow Agents • Conversational HR Interview Intelligence Platforms • Agentic Tender Intelligence Systems • Real-Time AQI Forecasting & Environmental Intelligence Platforms • Explainable AI & Multimodal Learning Architectures My engineering stack includes: Python • FastAPI • Java • React • SQL • Docker • REST APIs • RAG • LLMs • AI Agents • NLP • Deep Learning • System Design Along the journey, I’ve had the opportunity to: 🏆 Win multiple national-level hackathons 🏆 Build AI systems showcased across IITs and innovation platforms 🏆 Work on AI-first products across healthcare, automation, and enterprise workflows 🏆 Collaborate with founders, researchers, and AI communities across India I am deeply interested in the future of: → Autonomous AI Systems → AI Infrastructure → Applied AGI → Scientific & Healthcare AI → AI-native Product Engineering My long-term goal is simple: Build AI systems that create measurable real-world impact at scale — not just demos, but deployable intelligence.
AISaaSHealthTech
My LinkedIn audience
- Followers
- 9,606
- Est. median reach
- 5.5K
- Engagement
- 1.1%
My most engaged audience
82% Engineering / Data
From 233 people who reacted to or commented on my posts
Public LinkedIn data · Sep 17, 2026
Recent posts
All posts on LinkedInAdarsh J
ViksithBharat2047 strikes again, from 300 to 23 to top 2 , Honored to share that our team secured 🥈 Second Prize at the Supervity Autopilot Hackathon held at the Supervity office in Bandra Kurla Complex, Mumbai. At the hackathon, we built OmniFlow AI — an autonomous multi-agent AI employee designed to orchestrate and automate modern marketing workflows end-to-end. The idea behind OmniFlow AI was simple: modern campaign operations are fragmented across multiple tools, teams, and manual processes. We wanted to demonstrate how autonomous AI systems can unify intelligence, execution, and decision-making within a single orchestrated workflow. Our system was capable of: • identifying live trends • generating personalized campaigns and social media posts • discovering leads • automating outreach • publishing across platforms • monitoring execution in real time • generating ROI-driven executive reports —all through coordinated AI agents operating autonomously. ⚙️ Built using: • Supervity Auto Platform • Multi-Agent AI Architecture • React.js • FastAPI / Python • SSE Streaming • LinkedIn API acess token & URN • Slack webhooks integration • Gmail SMTP • OAuth 2.0 • Real-Time Workflow Orchestration This hackathon was a valuable experience in building production-oriented AI systems under intense timelines — focusing on orchestration, scalability, observability, and real-time automation. Grateful to my teammate Aakash Jangeeti for the collaboration, technical depth, and execution throughout the event. A sincere thank you to the judges Jaideep Patankar , Shweta Doshi , Yogesh Sahu , Raman Kumar for feedback and mentorship . Special thanks to Vijay Navaluri ,Founder of Supervity, for fostering a platform that enables developers and innovators to push the boundaries of AI-driven automation. Also thankful to Satyajeet kadu and the entire Supervity team for organizing such a high-quality hackathon experience and for the support extended throughout the event. Competing alongside talented builders, architects, and AI enthusiasts made the experience even more meaningful. Looking forward to building more autonomous systems that move beyond assistance toward true execution. #Supervity #AutopilotHackathon #ArtificialIntelligence #GenAI #MultiAgentAI #WorkflowAutomation #AIEngineering #AutonomousSystems #Innovation #Hackathon #AIProducts #Automation
175 reactions · 18 commentsViewAdarsh J
🚀 Closing an incredible chapter at Supervity.ai I’m excited to share that I’ve successfully completed my internship as a Forward Deployed Engineer at Supervity.ai, working closely with the US Business Unit. This experience gave me a first-hand understanding of what it truly means to build and deploy AI solutions in real-world enterprise environments — where engineering goes beyond writing code and extends into understanding business problems, building POCs, validating solutions, working with clients, and taking solutions to production. During my internship , I had the opportunity to work on AI Employees for healthcare referral management using RPA, along with projects involving Bank Reconciliation, and Dispute Investigation workflows. I also gained valuable exposure to enterprise workflows across: 🔹 Accounts Payable & Accounts Receivable 🔹 Procurement 🔹 IT Support 🔹 HR Support As an FDE, my work involved the complete journey from understanding BRDs and requirements under TPMs → solution design → POC development → internal testing → client pitching → iterations → production deployment. Technically, this journey exposed me to a wide range of technologies and concepts, including: ⚙️ RPA Automation 📄 Document Intelligence 🧠 Context Engineering 🐳 Docker & Containerization 🔗 API & Workflow Integrations One of my biggest takeaways has been understanding the FDE mindset — working at the intersection of engineering, product, business, and customers, and building solutions that solve real problems and ultimately make their way into production. A huge thank you to the leadership and management at Supervity.ai for trusting me with meaningful responsibilities and giving me the opportunity to learn by working on real enterprise problems. Special thanks to Vijay Navaluri , Hima Bindu and everyone who supported me throughout this journey. 🙌 It was an absolute pleasure working alongside my managers, mentors, and fellow interns. The collaboration, discussions, POCs, debugging sessions, testing, and constant iteration made this experience truly memorable. ❤️ Satyajeet kadu ,Vedant Kaul, Kaushal Tiwari , Siddhant Badola Mohan Mahesh Boggavarapu - the mitochondria of supervity. And a special appreciation for AUTOS — a next-generation platform that made this journey even more exciting. Getting to see how intelligent automation can evolve into scalable AI Employees across complex enterprise workflows was one of the most valuable parts of my experience. I’m incredibly grateful for everything I learned — technically, professionally, and most importantly, from a customer-first engineering perspective. Thank you, Supervity.ai, for an amazing learning journey. Looking forward to carrying these experiences into everything I build next. 🚀 #SupervityAI #ForwardDeployedEngineer #FDE #ArtificialIntelligence #GenerativeAI #AgenticAI #AIAgents #EnterpriseAI #Automation #RPA #DocumentIntelligence #ContextEngineering #AIEngineering
107 reactions · 2 commentsViewAdarsh J
Excited to share that I secured 1st place with Optim at the Innovation, Design and Entrepreneurship (IDE) Ideathon – Edition 3 (Phase I), organized by AICTE (Ministry of Education, Government of India) in collaboration with MIC (Ministry of Innovation Cell) and Wadhwani Foundation. A special thanks to the mentors Mr Shyam perika , Dr Nara Kalyani , and Mrs Meghna Bandi PhD (Economics) from Wadhwani Foundation for their invaluable mentorship and guidance throughout the bootcamp. Grateful to AICTE, MIC, and Wadhwani Foundation for enabling such meaningful opportunities for student innovators. Narendra Modi AICTE Ministry of Education #AICTE #MIC #WadhwaniFoundation #Innovation #Entrepreneurship #StartupIndia #StudentInnovation #IDEathon
97 reactions · 7 commentsView
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How does this price compare? B2B creator rates 2026
Who engages with my posts
Based on 233 people who reacted to or commented on my posts. Percentages use the profiles that could be classified.
Based on 233 people who reacted to or commented on my posts. Percentages use the profiles that could be classified.
Based on 233 people who reacted to or commented on my posts. Percentages use the profiles that could be classified.
Based on 233 people who reacted to or commented on my posts. Percentages use the profiles that could be classified.
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Booking Adarsh J: frequently asked questions
Adarsh J is a B2B LinkedIn creator based in India with 9,606 followers, posting about AI, SaaS, and HealthTech. On Naano, one sponsored LinkedIn post by Adarsh J costs €3,750, a fixed price per post.
- How much does Adarsh J charge for a sponsored LinkedIn post?
- One sponsored LinkedIn post with Adarsh J costs €3,750 on Naano. It is a fixed price per post, the amount your brand pays. Compare with the B2B creator rates 2026 report
- How do I book Adarsh J?
- Create a brand account on Naano, choose an offer on this page and send your brief. The price is held when Adarsh J accepts and paid when the post URL is submitted. You can turn on draft approval to review the post before it goes live.
- Can Naano run the campaign for me?
- Yes. With Managed Campaigns, the Naano team sets the strategy, casts the creators, writes the briefs, reviews the drafts, pays the creators and reports results per creator and campaign. It is a three-month programme: a management fee from €3,000 per month, plus a creator budget from €6,000 per month. See Managed Campaigns
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