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Software Engineer Manager with over 15 years of experience in software development and three years of experience in management. Proficient in various programming languages, including [C#, Node, Javascript, and Python]. Experienced in leading cross-functional teams to deliver complex software projects on time and within budget. Strong background in agile development methodologies and project management. Extensive experience in the entire life cycle of the software design process, including requirements definition, prototyping, design, implementation, testing, and maintenance.
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Microservices won’t fix bad design—they’ll amplify it. Splitting a monolith into microservices doesn’t magically solve scaling issues. It introduces network latency, data consistency challenges, and operational complexity. Before going micro, ask: • Does each service have a clear, single responsibility? • How will services communicate—sync or async? • Can failures be isolated without breaking the whole system? • Have we properly defined bounded contexts? • Who will be the owner of that new service? • Is the team structured for microservices, or will this cause silos and slowdowns? • Can you afford it? Microservices work best when your architecture demands it, not when hype drives it. Choose wisely.
Your API's Status Codes Matter More Than You Think. Here is my structured approach to returning them right. Returning the wrong HTTP status code in your API responses can break integrations, mislead clients, and make debugging a nightmare. 200 OK for an error? -> Your client thinks everything is fine when it's not. 400 Bad Request instead of 422 Unprocessable Entity? -> You're signaling a malformed request when the issue is with the data itself. 404 Not Found instead of 403 Forbidden? -> Now it looks like the resource doesn’t exist when access is just restricted. Status codes aren’t just numbers. They define how systems interact. Get them right. P.S. Do you know what the 202 is used for?
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