I’m a software engineer who enjoys designing systems that actually hold up in production, not just shipping tickets to close a sprint. Over the past 5+ years, I’ve built and delivered backend and AI-driven systems across healthcare, logistics, cybersecurity, and SaaS. I typically work end to end, starting with understanding how things really work today, then shaping the architecture, defining clear specifications, and making sure what ships is correct, reliable, and maintainable. My day-to-day workflow is increasingly agent-assisted. I use tools like ChatGPT, Claude-style workflows, Cursor, and Copilot to move faster on implementation, but I stay fully accountable for the hard parts such as clear specs, sound architecture, test coverage, and safe integration. I’ve found AI works best when engineers stay firmly in control of intent, constraints, and quality. I’m particularly good at taking vague or messy requirements and turning them into precise, testable APIs and specifications. I’m comfortable supervising AI-generated code, reviewing it critically, and validating it thoroughly before it reaches production. I design systems with small blast radius, predictable behavior, and fast feedback loops so problems surface early, not after release. Technically, I work mostly with Python, FastAPI, Docker, microservices, CI/CD, and LLM-powered systems such as LangChain and agent frameworks. I care about clean interfaces, reproducibility, and building things that are easy to reason about under pressure. I’m most energized by teams that treat specification as real engineering, take review seriously, and measure success by what reliably reaches production.…I’m a software engineer who enjoys designing systems that actually hold up in production, not just shipping tickets to close a sprint. Over the past 5+ years, I’ve built and delivered backend and AI-driven systems across healthcare, logistics, cybersecurity, and SaaS. I typically work end to end, starting with understanding how things really work today, then shaping the architecture, defining clear specifications, and making sure what ships is correct, reliable, and maintainable. My day-to-day workflow is increasingly agent-assisted. I use tools like ChatGPT, Claude-style workflows, Cursor, and Copilot to move faster on implementation, but I stay fully accountable for the hard parts such as clear specs, sound architecture, test coverage, and safe integration. I’ve found AI works best when engineers stay firmly in control of intent, constraints, and quality. I’m particularly good at taking vague or messy requirements and turning them into precise, testable APIs and specifications. I’m comfortable supervising AI-generated code, reviewing it critically, and validating it thoroughly before it reaches production. I design systems with small blast radius, predictable behavior, and fast feedback loops so problems surface early, not after release. Technically, I work mostly with Python, FastAPI, Docker, microservices, CI/CD, and LLM-powered systems such as LangChain and agent frameworks. I care about clean interfaces, reproducibility, and building things that are easy to reason about under pressure. I’m most energized by teams that treat specification as real engineering, take review seriously, and measure success by what reliably reaches production.WWWW…