Omkar Kulkarni

H1B Landscape is Changing The H1B world is shifting, and I see a few trends that could shape demand: 🔹 Premium H-1B Talent – only highly specialized roles will justify sponsorship costs. 🔹 Domestic Talent – citizens, green card holders, and OPT/CPT candidates may get first priority. 🔹 Hybrid Teams – blending domestic and offshore talent will be the new norm. 🔹 Offshore/Nearshore Expansion – some projects will move to cost-effective geographies. From my view, contracting isn’t disappearing. It’s evolving. Fewer H1B-heavy roles, more domestic opportunities, and selective premium placements for specialists. 💡 How is your team preparing for these changes? #H1B #TalentStrategy #Staffing #HybridWork #ITStaffing #FutureOfWork #Cloudbridge

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If you are an SF engineer at $150K, you are likely Level I. Your H‑1B chances just dropped by 48%. The new H‑1B Cap Weighted Selection Final Rule is here. Random lottery is gone. Wage‑weighted selection is in. Data. Under the old system, everyone sat at about 35% odds. 118K out of 336K registrations in FY26. No advantage for higher wage levels. The new rule rewrites those odds: → Level I: 15.29% → Level II: 30.58% → Level III: 45.87% → Level IV: 61.16% For Level I, odds drop nearly in half. For Level IV, odds more than double. A $150K SF engineer is often Level I on OES. → Early career people, Lower salary but important roles, they get hit the hardest here. There is more. Registrations must now include: → OEWS wage level → SOC code → Work location Later the petition must prove that wage level was correct on the day of registration. USCIS can deny, revoke, or block amendments if it looks like you changed terms to game the lottery. The logic from the government is clear. → Higher pay, higher odds. → Your economic value now shapes your chance to stay. If you are an employer, start planning before the next window. If you are a worker, learn your wage level and study other paths, not only H‑1B. I will keep sharing data as more details come out. Hi! My name is Sumit Gupta, I share data, AI, immigration updates and make you a smarter immigrant!

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The Databricks Startups team answers founders’ most common AI questions—where to start without hype, how to stay compliant with sensitive data, what to build versus buy, how to cut hallucinations, and how to keep costs in check. 💡 Get step‑by‑step starting points, governance patterns for sensitive data, a pragmatic build‑versus‑buy lens, tactics to curb hallucinations, and cost controls that scale. 🔗 Full post: https://lnkd.in/ehRa3Yp5 #Databricks #DatabricksForStartups #AI #GenAI #MLOps

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Manual documentation can’t keep up with modern data pipelines. Traxccel automates the process, using LLMs and Databricks metadata to generate clean, version-controlled docs embedded into your CI/CD workflows. The result is scalable, audit-ready documentation that’s always in sync with your data logic. Read the blog and see why it’s redefining documentation across the enterprise: https://lnkd.in/dkdXEsBq #ETLautomation  #DataEngineering #LLM #Databricks #TechnicalDocumentation  #axlPULSE #Traxccel 

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Right now, it’s not just H1B holders under pressure, the ones really feeling the burn are 𝘀𝘁𝘂𝗱𝗲𝗻𝘁𝘀, 𝗳𝗿𝗲𝘀𝗵 𝗴𝗿𝗮𝗱𝘂𝗮𝘁𝗲𝘀 𝗮𝗻𝗱 𝗮𝗹𝗹 𝘁𝗵𝗲𝘀𝗲 𝗨𝗦 𝗳𝗼𝗹𝗸𝘀 𝗮𝗿𝗲 𝗰𝗼𝗺𝗶𝗻𝗴 𝗯𝗮𝗰𝗸 𝘁𝗼 𝗲𝗮𝘁 𝗜𝗻𝗱𝗶𝗮𝗻 𝗜𝗧 𝗷𝗼𝗯𝘀. So, the bigger hit is actually on:  • Students studying here in US with crazy loan amounts on their head.  • Folks who graduated but still don’t have a job. Many students are already stressed about getting a job, and now this adds on. Dealing with rent, family pressure, loan interest, and living expenses all at once, so just imagine. And don’t think this stops in the US, it’s gonna bounce back to India too. The first impact? 𝗜𝗻𝗱𝗶𝗮𝗻 𝗜𝗧. Bcz the people heading back from the US will be looking at those jobs, and let’s be real, they already have an edge. They’ve worked with 𝗠𝗔𝗔𝗡𝗚/𝗙𝗔𝗔𝗡𝗚, on 𝗿𝗲𝗮𝗹 𝗽𝗿𝗼𝗱𝘂𝗰𝘁-𝗯𝗮𝘀𝗲𝗱 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀, working on 𝗹𝗮𝘁𝗲𝘀𝘁 𝘁𝗲𝗰𝗵 𝗹𝗶𝗸𝗲 𝗔𝗜/𝗠𝗟. Sure, India has a lot of potential and a big gap to fill in tech. But the real question is, 𝗮𝗿𝗲 𝘄𝗲 𝗿𝗲𝗮𝗱𝘆 𝘁𝗼 𝘁𝗮𝗸𝗲 𝗶𝗻 𝘁𝗵𝗶𝘀 𝘄𝗮𝘃𝗲 𝗼𝗳 𝗿𝗲𝘁𝘂𝗿𝗻𝗲𝗲𝘀? Truth is, 𝘁𝗵𝗲𝘆’𝗹𝗹 𝗲𝗮𝘀𝗶𝗹𝘆 𝗼𝘂𝘁𝗰𝗼𝗺𝗽𝗲𝘁𝗲 𝗮 𝗹𝗼𝘁 𝗼𝗳 𝘁𝗵𝗲 𝗲𝘅𝗶𝘀𝘁𝗶𝗻𝗴 𝘁𝗮𝗹𝗲𝗻𝘁 𝗶𝗻 𝗜𝗻𝗱𝗶𝗮. Why? Bcz most niche technologies emerge first in the US and only later get outsourced to Indian firms like Infosys or TCS. 𝗦𝗼𝗺𝗲 𝗵𝗮𝗿𝘀𝗵 𝗿𝗲𝗮𝗹𝗶𝘁𝗶𝗲𝘀:  • 𝗗𝗼𝗻’𝘁 𝗿𝘂𝘀𝗵 𝘁𝗼 𝘁𝗵𝗲 𝗨𝗦 𝗿𝗶𝗴𝗵𝘁 𝗻𝗼𝘄. There are already too many students stuck in the job hunt, some graduated, some still studying, and many more on the way.  • The numbers are insane, 𝗼𝘃𝗲𝗿 𝟭.𝟭𝟮 𝗺𝗶𝗹𝗹𝗶𝗼𝗻 international students in the US (2023-24, record high), 𝟯𝟯𝟭𝗸+ from India—𝟮𝟯% jump in a year. Another report puts Indians at 𝟰𝟮𝟬𝗸 (𝟮𝟳% of all students). Massive pressure on the market.  • A big reason? 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝗶𝗲𝘀 𝘄𝗮𝗶𝘃𝗲𝗱 𝗚𝗥𝗘 𝗮𝗻𝗱 𝗧𝗢𝗘𝗙𝗟/𝗜𝗘𝗟𝗧𝗦 during covid, which made it way easier for people to get in US, even if they weren’t really ready for the competitive job market here.  • On top of that, 𝘀𝗶𝗻𝗰𝗲 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗯𝗹𝗲𝘄 𝘂𝗽 𝗶𝗻 𝟮𝟬𝟮𝟯, 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗲𝘃𝗲𝗿𝘆𝘄𝗵𝗲𝗿𝗲 𝗰𝗵𝗮𝗻𝗴𝗲𝗱 𝗰𝗼𝘂𝗿𝘀𝗲 𝗮𝗻𝗱 𝘄𝗲𝗻𝘁 𝗮𝗹𝗹-𝗶𝗻 𝗼𝗻 𝗔𝗜. Now tell me, 𝗵𝗼𝘄 𝗺𝗮𝗻𝘆 𝘂𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝗶𝗲𝘀 𝗶𝗻 𝗜𝗻𝗱𝗶𝗮 𝗮𝗿𝗲 𝘀𝗲𝗿𝗶𝗼𝘂𝘀𝗹𝘆 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗔𝗜/𝗠𝗟-𝘀𝗸𝗶𝗹𝗹𝗲𝗱 𝗴𝗿𝗮𝗱𝘀? And even if they are, 𝗵𝗼𝘄 𝗺𝗮𝗻𝘆 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗮𝗿𝗲 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝗼𝗻 𝗻𝗶𝗰𝗵𝗲 𝗔𝗜 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗶𝗻 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲, 𝗳𝗶𝗻𝗮𝗻𝗰𝗲, 𝗼𝗿 𝗼𝘁𝗵𝗲𝗿 𝘀𝗲𝗰𝘁𝗼𝗿𝘀 on their own? Not many. So yeah, 𝘁𝗵𝗶𝘀 𝘄𝗮𝘃𝗲 𝗶𝘀 𝗴𝗼𝗶𝗻𝗴 𝘁𝗼 𝗵𝗶𝘁 𝗜𝗻𝗱𝗶𝗮𝗻 𝗜𝗧 𝘁𝗵𝗲 𝗵𝗮𝗿𝗱𝗲𝘀𝘁. And if anyone in India is feeling happy about US layoffs or immigration issues, 𝗷𝘂𝘀𝘁 𝗯𝗲 𝗰𝗮𝗿𝗲𝗳𝘂𝗹, 𝗯𝗰𝘇 𝗶𝗳 𝘁𝗵𝗲𝘀𝗲 𝗨𝗦 𝗳𝗼𝗹𝗸𝘀 𝗮𝗿𝗲 𝗰𝗼𝗺𝗶𝗻𝗴 𝗯𝗮𝗰𝗸... 𝗮𝗻𝗱 𝘁𝗵𝗲𝘆’𝗿𝗲 𝗰𝗼𝗺𝗶𝗻𝗴 𝗳𝗼𝗿 𝘆𝗼𝘂𝗿 𝗷𝗼𝗯𝘀.

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