Rohit Anand

When you join a new org or switch teams in the same, it is quite an unsettling and borderline anxious experience. Here are a few things that I did to ramp up faster. 1. I consciously made an effort to remain unblocked 2. I read a ton of code and its history, sometimes even unrelated 3. I asked questions about the past, the present, and the future 4. I took up relatively mundane tasks - cross-team work, tests, and docs 5. I extended a helping hand in whatever capacity I could 6. I proactively met skip-level leaders and managers to understand the vision Some companies do have a culture of pairing up with someone existing in the team, but even if you do not get a mentor, it is important that you still navigate the situation and ramp up as quickly as you can. The above list is not exhaustive, by any means, and hence you can always add things that you find helpful in your context. but the lowest common denominator is to show extreme intent and interest to get output and drive outcomes. Hope this helps.

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System Design Prep and Career Growth Secrets from a Microsoft Senior Software Engineer... I recently sat down with Tannika Majumder, a Senior Software Engineer at Microsoft (ex-Infosys, now at Microsoft) to talk about her journey through Infosys, startups, and now big tech — and wow, the insights were GOLD. ✨ These insights are incredibly valuable for anyone in tech. We discussed about- ✅️ Her journey from Infosys to Microsoft ✅️ Why switch companies: growth, learning, or environment? ✅️ Startups vs Microsoft: what’s different? ✅️ How to prepare for system design interviews (zero → confident) ✅️ Best resources for system design ✅️ Moving from mid-level to senior roles ✅️ Red flags to look out for in junior engineers ✅️ Staying sharp in tech after years in the industry ✅️ Growing a YouTube & LinkedIn following ✨ We also touched on the power of sharing knowledge online through YouTube and LinkedIn. If you’re preparing for interviews, planning your career growth, or simply curious about life at Microsoft, this episode is packed with useful takeaways. 🎧 Watch the full conversation here: https://lnkd.in/g5wwXCK2 I’d love to know: What’s the best advice you’ve received (or given) about preparing for system design interviews? #Microsoft #SystemDesign #SoftwareEngineering #CareerGrowth #TechPodcast

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Oracle laid off nearly 10% of its 28,800 employees in India, mainly from software, cloud, and support roles. Reports say this move is linked to their AI expansion plans and partnership with OpenAI for building AI infrastructure in the U.S. This is a reminder that AI is not just transforming tech, it’s reshaping jobs too. #Layoffs #Oracle #AI #Career #TechNews #Upskill

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You can earn ₹50–80 LPA+ with this one emerging skill that very few professionals are talking about yet If you are learning AI, tools like ChatGPT are just the entry point. The real opportunity lies in LangChain the framework behind many of today’s AI Agents. But here is the catch: without knowing the core building blocks of LangChain, you will struggle to build real-world AI systems. 𝐇𝐞𝐫𝐞 𝐚𝐫𝐞 𝟐𝟎 𝐤𝐞𝐲 𝐭𝐞𝐫𝐦𝐢𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐞𝐯𝐞𝐫𝐲 𝐀𝐈 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐬𝐡𝐨𝐮𝐥𝐝 𝐦𝐚𝐬𝐭𝐞𝐫: 1. Chat Models: Special AI models for human-like conversations 2. Messages: The basic building blocks of chat 3. Chat History: Past conversations the AI remembers 4. Tools: Extra skills like search, APIs, or databases 5. Structured Output: Forcing AI replies in clean formats like JSON 6. Prompt Templates: Reusable prompts with placeholders 7. Chains: Step-by-step pipelines connecting tasks 8. LCEL: Shortcut language to run chains faster 9. Retrievers: Helpers that dig up the right documents 10. RAG: Combining AI with outside knowledge for accuracy 11. Agents: Smart AIs that choose tools and actions 12. Runnable Interface: Plug-and-play execution of LangChain parts 13. Document Loaders: Connectors for PDFs, Slack, and more 14. Vector Stores: Databases that search by meaning 15. Architecture: The blueprint of how it all fits together 16. Integrations: Connecting LangChain to APIs and services 17. Crossway: Handling text, images, sound, video, and more 18. Tool Calling: AI using tools like search or translation 19. Custom Tools: Functions solving unique tasks 20. LangSmith & LangGraph: Tools to test, monitor, and scale AI systems Learning these is like learning the alphabet of AI Agents. Skip them, and you will only ever be a user. Master them, and you’ll become a builder. 𝐖𝐡𝐢𝐜𝐡 𝐨𝐟 𝐭𝐡𝐞𝐬𝐞 𝟐𝟎 𝐭𝐞𝐫𝐦𝐬 𝐝𝐨 𝐲𝐨𝐮 𝐚𝐥𝐫𝐞𝐚𝐝𝐲 𝐤𝐧𝐨𝐰 𝐚𝐧𝐝 𝐰𝐡𝐢𝐜𝐡 𝐨𝐧𝐞 𝐬𝐡𝐨𝐮𝐥𝐝 𝐈 𝐛𝐫𝐞𝐚𝐤 𝐝𝐨𝐰𝐧 𝐟𝐨𝐫 𝐲𝐨𝐮 𝐢𝐧 𝐝𝐞𝐭𝐚𝐢𝐥 𝐧𝐞𝐱𝐭? ♻️ Repost this to help your network get started ➕ Follow Sathish Kumar Subramani for more #LangChain #AIagents #GenerativeAI #AgenticAI

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MSMEs are India’s heartbeat and at Flipkart’s Seller Summit in Delhi that heartbeat grew stronger. From artisans to digital-first sellers, everyone arrived with a shared aspiration to grow with purpose. The government’s emphasis on self-reliance and quality deeply resonated. These summits are practical guides that can turn festive seasons into turning points. When small businesses gain the right tools and insights, they shape sales and they shape the future of India’s economy. What more can be done to empower MSMEs to unlock their full potential in the digital era? #FlipkartSellerSummit #Entrepreneurship #Flipkart #DigitalIndia #MSMEGrowth #SellerCommunity https://lnkd.in/gDYvs5nZ

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If you thought you’d leave data structures behind after college.  Think again. – Google Maps, graphs in action, finding the shortest path for you every single day. – WhatsApp, queues, to make sure your messages are delivered in order. – Instagram Stories, stacks, letting you go back through stories one by one. – Chrome’s Incognito Tabs, linked lists, so you can jump between tabs seamlessly. – Spotify, hash maps, to instantly pull up your playlist or favorite song. Also, – Amazon uses recommendation algorithms to suggest products just for you. – Facebook uses priority queues to decide what shows up on your news feed. – Uber uses graph search to find the closest drivers and fastest routes. – YouTube uses tries to autocomplete your search instantly. – Twitter uses rate-limiting algorithms to prevent spam and abuse. You have to practice DSA for interviews, yes. But don’t skip over the foundations just because you’re in a hurry. Because one day, you’ll hit a challenge where the right answer will come from actually understanding how things work under the hood. If you don’t build a strong foundation now, you’ll feel it when it matters most. Because sooner or later, every real engineering problem comes back to the basics. When the system breaks, the deadlines close in, or your code needs to scale for millions, It won’t matter what language or framework you know. What matters is whether you understand the building blocks. That’s the difference between fixing things and just guessing.

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