The Legit Baines Blog

  Why Passion and Personal Investment Create Better Problem Solvers One of the biggest mistakes organisations make when hiring is focusing entirely on technical ability while overlooking whether the person actually cares about the problems they are being asked to solve. Technical skills are important, but genuine investment in the outcome is often what separates average employees from exceptional ones. A person who emotionally connects with the purpose behind the work will naturally go further, think deeper and stay motivated for longer than someone who simply sees the role as a pay cheque. This becomes especially important in analytical and technical roles. For example, if a company is hiring a data analyst to work with information related to medical conditions, ideally they should look for someone who genuinely cares about helping people affected by those conditions. A technically skilled analyst may be able to produce dashboards and reports, but someone who is personally invest...

  Honesty Really Is the Best Policy - Especially in Job Descriptions There’s a simple idea that gets repeated so often it risks losing its meaning: honesty is the best policy . But when you look closely at how organisations communicate especially in recruitment you start to see just how often that principle is quietly ignored. In the long run, honesty doesn’t just benefit the person reading a job advert; it benefits the organisation, the hiring team, and the wider community. Without it, time is wasted, expectations are mismanaged, and trust slowly erodes. One of the clearest examples of this is the growing trend of vague and overly broad job specifications . Many of the roles I’ve come across recently sound inclusive on the surface, but when you dig deeper, they lack the clarity needed for candidates to make an informed decision. Phrases like “ strong communication skills ,” “ commitment to customer service ,” and “ experience in innovation and transformation ” sound impressive, ...

Trying to   Understanding APIs and FastAPI : Practical Tools for Modern Software Development ✌ Application Programming Interfaces (APIs) are one of the fundamental building blocks of modern software development. An API allows different programs, services, or devices to communicate with each other in a structured way. Instead of one program needing to understand the entire internal workings of another, it simply sends a request and receives a response using clearly defined rules. APIs are everywhere: when a mobile app fetches weather information, when a website processes payments, or when a sensor device uploads data to a cloud service. In essence, APIs act like translators that allow separate systems to exchange information reliably. 💪 One of the most common ways APIs are used today is through web-based APIs that operate over HTTP. These are often referred to as REST APIs ( Representational State Transfer ). In a REST-style API, clients send requests such as GET , POST , PUT ...

Baines is on a path of continuous personal development, his next target is the programming language C++  💪💪💪  I’ve always believed that growth happens when you deliberately step outside your comfort zone. That’s exactly why I’ve started learning C++. I’m constantly looking for ways to raise my programming game to the next level, and C++ feels like a natural progression—especially as I continue aiming for a future in embedded systems . Even though I haven’t yet had my big break into the professional embedded world, I want to be ready when the right opportunity appears. Preparation meets opportunity-that’s the goal. C++ is powerful, fast, and close to the hardware, which makes it ideal for embedded development. It forces you to think more carefully about memory, performance, and system design. That challenge is exactly what attracts me. I don’t just want to write code that works-I want to understand what’s happening under the hood. By building a strong foundation in C++, I’m...

🧭 1. Workplace Health & Safety Assessment Purpose  👍 To identify workplace hazards, evaluate associated risks, and plan control measures to maintain a safe and healthy environment for all employees — even in a primarily office or remote data analytics setting. Step 1: Identify Hazards For a data analytics start-up, typical hazards include: Category Examples of Hazards Potential Impact Physical Environment Poor lighting, trip hazards from cables, ergonomic issues Eye strain, back/neck pain, falls Equipment & Electrical Overloaded sockets, faulty devices, overheating laptops Electrical fires, equipment damage Workstation Setup Poor chair posture, screen height Musculoskeletal disorders Psychosocial Workload stress, long screen time, isolation (remote workers) Burnout, reduced mental well-being Fire Safety Inaccessible exits, lack of fire extinguisher Injury, property damage Health & Hygiene Poor ventilation, inadequate first ai...