Aanchal 
AI evaluation has become one of the most misunderstood yet highly valued skills in 2026. Many professionals claim they have “tested” AI systems, but when hiring teams ask how quality was measured, answers quickly fall apart. This gap is exactly why a strong AI evaluation portfolio now separates serious candidates from everyone else. Companies are … Read more
In 2026, the confusion between prompt engineers and generative AI engineers is costing people time, money, and career momentum. Job descriptions blur the lines, social media amplifies half-truths, and many candidates apply for roles they are not actually qualified for. The result is frustration on both sides of the hiring table. These two roles are … Read more
Data engineering in 2026 sits at the center of almost every serious AI, analytics, and automation initiative. While AI models attract attention, it is data engineering that determines whether those models work consistently in production. Organizations have learned that weak pipelines create unreliable insights, broken dashboards, and unstable AI systems, regardless of how advanced the … Read more
FinOps jobs in 2026 exist because organizations finally accepted an uncomfortable truth: moving to the cloud did not automatically make costs predictable or efficient. In fact, cloud adoption without discipline has made spending harder to track, explain, and control. As AI workloads, data platforms, and always-on services grow, cloud bills have become a serious business … Read more
Platform engineering has quietly become one of the most important engineering disciplines in 2026, even though it rarely gets the same attention as AI or cloud roles. As engineering organizations scale, they are discovering that developer productivity does not improve just by adding more tools. Instead, it improves when teams remove friction, standardize workflows, and … Read more
DevOps and SRE are often used interchangeably in job posts, resumes, and online discussions, but in 2026 the difference between them matters more than ever. As systems become more complex, companies are realizing that speed alone is not enough and reliability alone is not sufficient. This tension has clarified what DevOps and SRE actually mean … Read more
AI careers in India are being marketed aggressively in 2026, and that noise has created confusion rather than clarity. Social media makes it seem like anyone can “learn AI in 30 days” and land a high-paying role, but the hiring reality is far more selective. Many beginners waste time and money chasing buzzwords without understanding … Read more
In 2026, online courses are everywhere in India, and so is confusion about their real value. Every platform promises career transformation, high salaries, and fast placement, yet many learners finish courses only to realize nothing meaningful has changed. This gap between promise and outcome has made people cynical, but the problem is not online learning … Read more
In 2026, choosing a programming language is no longer about trends or what influencers recommend. It is about employability, learning curve, and how quickly a language can translate into real job roles in India. Many beginners waste months learning languages that look impressive online but have limited entry-level demand locally. This leads to frustration, stalled … Read more
In 2026, portfolios have become the fastest filter recruiters use to decide whether a candidate is worth interviewing. Resumes tell them what you claim to know, but portfolios show how you actually think, work, and deliver. This is why many candidates with decent resumes still struggle to get callbacks, while others with average academics but … Read more