Sponsored LinkedIn post
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Software Development Engineer 2 (L5) @ Amazon
Companies pay Kunika to write a post about their product on LinkedIn or X.
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€438per X post, fixed price
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Software Engineer | Amazon | Microsoft | Agentic AI | Mentor | 286k+ Linkedin | Influencer Marketing | DM for collabs 🤝
Hey there! I’m a Software Engineer with a passion for building systems that don’t just run ~ they think, act, and evolve. Had worked in around 20 Internships along with live project for US Client. As a freelancer, recreated some components of Skillslash academy website using Reactjs. Worked on a portfolio website for a Canadian client. Checkout my published articles at GeeksforGeeks. Open to collaborate for Brand Marketing (Tech & Non Tech) and have generated great leads (100+) as well. Connect with me in case you want to increase your brands visibility or for any social media promotion! Open for part time Mentor opportunities. Have mentored hundred plus students. Check reviews on topmate.io/kunika. Mentored at International platforms & Hackathons too. Given career guidance sessions and took mock interviews at Bosscoder Academy, Bosscoder School of Technology and Tutort Academy. Taken doubt sessions on Full Stack Javascript Bootcamp via Upgrad. Taken Live Classes on C++ & Data Structures at Lovely Professional University. Taken live classes on Javascript via Almabetter. Taken AI classes at Edspark. Taken Full Stack batches at Pregrad. Open for Speaker invitations. Been a Speaker at Coffee.io, Skillslash academy, GUVI, AXYYA, Squidbean Institute, Maangler & had taken live sessions on Coding Ninjas for different colleges. Also got invited as a Speaker at Galgotia University, Indira Gandhi Delhi Technical University for Women & at Guru Nanak Dev Engineering College, etc.
10 useful AI agents I’d build right now to make my life easier: I recently watched the Moe Ali podcast with Adi Singh, cofounder of AgentMail. Adi showed an agent that monitors competitors, another that watches business data, and a browser agent that signs up for a website and verifies its own email. Watch the podcast here: https://lnkd.in/eZGvN_BQ I came away with a long list of things I’d want an agent to handle. Here are the 10 I’d start with: 1. A competitor agent that checks pricing, landing pages, and new offers, then sends me the changes with links. 2. A customer voice agent that reads reviews, comments, and support messages, then flags objections that keep coming up. 3. A conversion agent that alerts me when a landing page drops below its normal performance and helps find the cause. 4. An email agent that spots campaigns with high clicks but low sales, so I know where to investigate. 5. A research agent that watches topics I care about and sends me a short brief with the original sources. 6. A meeting agent that prepares me for calls, captures decisions, and follows up on tasks afterward. 7. An inbox agent I can CC on a thread to collect documents, draft a response, or keep a task moving. 8. A subscription agent that finds services I’ve stopped using and prepares cancellation requests for my approval. 9. A content agent that finds the strongest moments in a podcast transcript and suggests clips with exact timestamps. 10.A weekly review agent that checks my projects, calendar, and unfinished tasks, then tells me what needs a decision. Some of these would take more than one prompt to build well. That’s exactly why Adi’s demos stuck with me: he showed agents connected to real tools and workflows, doing work beyond a chat window. Last week, the AI Build Labs inside Product Faculty’s AI Builder Fellowship focused on building multimodal AI products and agents. If you’d love to build useful agents like these, you can learn by building alongside frontier AI practitioners. The Fellowship includes 7 live certifications and support while you work on your projects. Go here to enroll: https://lnkd.in/e8KJs-kg
FREE: The Complete Grok Bot Course: Go from zero to building personal AI agents that automate your workflows in just 45 minutes. No paid course. No email gate. No surface-level product tour. Senior Google AI PM Shubham Saboo sat down with Matt Van Horn—one of the most advanced Grok Bot users and created a practical, step-by-step course you can watch right now. Matt has built 15 Grok Bots. Eight already own recurring jobs. They research across multiple sources, search his recorded meetings, review pull requests, manage family operations, monitor important information, and handle everyday tasks. One even helped him negotiate a $10,000 sponsorship. Inside the free course, you’ll learn how to: ● Set up your first Grok Bot ● Build a personal AI chief of staff ● Turn repeated tasks into automated workflows ● Give agents tools, memory, email, and schedules ● Connect calendars, meetings, research sources, and other apps ● Make multiple agents communicate ● Diagnose and repair failed workflows ● Scale from one useful bot to an AI agent team They also build, test, and troubleshoot agents live so you see how the systems actually work outside a perfect demo. Watch the complete course for free here: https://lnkd.in/gbX5JpFR If you’ve been waiting for the right place to start with AI agents, this is it. Shubham also teaches Agentic Engineering and leads hands-on AI Build Labs inside Product Faculty’s AI Builder Fellowship. If you want to build production-grade agents with live instruction, capstone projects, and unlimited 1:1 support, go here: https://lnkd.in/gq9Fa2mK
If you want a high-paying AI job, stop collecting certificates. Build these seven projects instead: 1. A working multi-agent AI product 2. A production-ready agent fleet 3. An end-to-end AI evaluation system 4. A Claude-powered operating system 5. A defensible AI Moat Blueprint 6. An organizational AI Operating Plan 7. A complete AI PM interview portfolio Because no serious AI company will hire you simply because you watched 100 hours of videos. They want proof that you can build. That’s exactly why I joined Product Faculty’s AI Builder Fellowship through its Creator Program. Each of its seven live certifications ends with a real capstone project: → AI Product Management with Rohan Varma, Product Manager at OpenAI Codex Build and ship a multi-agent AI product, create its AI PRD and eval suite, and present it live at Demo Day. → Agentic Engineering with Henry Shi from Anthropic and Shubham Saboo, Senior AI PM at Google Deploy an agent fleet that survives a 72-hour unattended production run with monitoring and an incident log to prove it. → AI Evals with Reah Miyara, Head of AI Models at Google Build a complete evaluation system with a rubric, dataset, judge prompts, baseline results, and improvement plan. → AI-Native Product Management with Claude with Paweł Huryn Create your own Claude-powered PM operating system with reusable workflows, agents, documents, evals, and a working prototype. → AI Product Strategy with Rohan Varma and Moe Ali Develop a defensible AI Moat Blueprint for a real product or company, then have it reviewed 1:1. → AI Product Leadership with Amit Fulay, VP of Product at Uber Create an AI Moat and Operating Plan for your organization and workshop it live with Amit. → AI Product Manager Interviews with Jennifer Liu, former Senior Director of Product at Google Build your complete interview portfolio with career stories, technical trade-off frameworks, and structured answers. You also get 1:1 support from AI engineers who work alongside you to help you ship every capstone. Imagine walking into your next interview and saying: “I didn’t just study multi-agent systems. I deployed one.” “I didn’t just learn about evals. Here is the evaluation system I built.” “I didn’t just memorize AI strategy frameworks. Here is the moat and operating plan I created.” That conversation is completely different. I’ll share my projects and lessons publicly as I build them. And if you want to create the same portfolio, I’ve secured $1,400 off the Fellowship for my community: https://lnkd.in/gxqmeWJS Certificates might get added to your LinkedIn profile. Proof of work gets you hired.
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Finally, AI-first data analytics. 👀 Querio puts your analytics in a Git repo you own, so AI agents can work directly with your metrics, dashboards and reports. Code-first + agent-ready is a compelling direction for the modern data stack. Congrats to the team on the launch 🚀 https://t.co/Zv3M2tLCCL
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Kunika Malhotra is a B2B LinkedIn creator based in India, posting about Software, AI, and Marketing. On Naano, one sponsored LinkedIn post by Kunika Malhotra costs €1,132, a fixed price per post. A sponsored X post costs €438.
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