Becoming a tech lead was the goal from pretty early in my career. I had a clear picture of what the role was. More responsibility, more influence over the work, more of the interesting problems landing on my desk because someone had to figure them out and that someone, finally, would be me. It read like the natural next step. The thing you graduate to once you're good enough. What that picture did
Data is no longer treated as a byproduct of business operations and has become one of the most valuable organizational assets. Every interaction on a banking application, e-commerce platform, hospital system, logistics network or social media service generates data continuously. As organizations increasingly adopt digital workflows, cloud platforms, machine learning systems and real-time applicati
In modern data-driven organizations, managing and analyzing data efficiently is critical. OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing) are both integral parts of data management, but they have different functionalities. Understanding how they differ, and how they complement each other is essential for anyone working with data systems. Online Transaction Processing (
SQL is widely known for data querying and manipulation but systems do grow; data becomes larger; processes become repetitive and operations become sensitive. SQL has some features which enables it to be considered a fully fledged programming language. Some of the features which I discuss in this article are procedures, functions and transactions. Each of these concepts serve distinct purposes. Sto
_ Timeline - 2 Months _ PLAN DSA - C++ - Striver sheet , developer map for Leetcode. Development - Backend - JS ,MONGO - Developers roadmap for backend , Projects - Developers Roadmap. Low-Level - Rust - Developers Roadmap , Rust Book , Projects - CodeCrafter. Development - TS , SQL ,DOCKER , AWS, MY GITHUB MY LEETCODE
I have been meaning to upgrade my personal site to Astro 6 for a while. The release notes sat in my open tabs for weeks, and every time I sat down to do it, I found an excuse to work on something else. This week, I finally ran out of excuses. I carved out an afternoon, ran npx @astrojs/upgrade, crossed my fingers, and expected a smooth ride. The dev server crashed immediately with a cryptic error
For years, I called myself a web designer. Then a developer. Then a digital consultant. None of those titles ever felt quite right. Because clients weren't just asking me to build things. They were asking me to solve problems. Slow sites, broken checkouts, confusing navigation, teams that couldn't figure out how to update their own content. That's when I realized what a technology solutions profes
選定理由 Paper: https://arxiv.org/abs/2512.01020 【社会課題】 【データの設計と従来技術の限界】 Issue Tree（法的論点ツリー）に変換し、葉ノードに対しルーブリック基準を適用可能にした。原告・被告・裁判所の主張をツリー構造で整理した約24,000インスタンスのデータセットを構築。評価軸は「論点カバレッジ」と「正確さ」の2次元。以下がサンプルである： 【原告の主張】被告は540万円を支払え └─【原告】保険金の支払い義務がある ├─【原告】死亡は突発的・偶発的な事故だった │ └─【原告】餅を食べて窒息死＝外因による傷害 │ └─【被告】死因は既往症の可能性が高い └─【裁判所の結論】突発的事故と認定 ただし窒息死は証明不十分 この