When I joined Spiralogics, I was at a point where I still relied on a senior engineer to map out my next steps and keep me aligned. Over the next two and a half years, that dynamic completely flipped. I shifted from executing someone else’s plan to owning the plan myself—leading calls, breaking down messy requirements, and running projects independently. I also started mentoring juniors, which really forced me to sharpen my own approach. Toward the end, my role naturally leaned into R&D, where I became the person responsible for researching and prototyping how we could bring modern AI into our applications.
On the tech side, it was a mix of deep full-stack engineering and pure experimentation. I spent a lot of time with .NET Core, React, and SQL Server, building heavy enterprise features like a real-time claim negotiation system using SignalR and a multi-tenant SaaS attendance platform. As I moved into research, I got my hands dirty with Python, LangChain, and LlamaIndex—building RAG pipelines and Text-to-SQL agents and deploying them with FastAPI. Whether it was refactoring core architecture for better async performance or prototyping a microservices setup for warehouse management, my time there was defined by moving past just writing code to actually owning the technical direction.
Highlights
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Built a Claim Negotiation System using React, Redux, .NET Core, and SQL Server with real-time updates via SignalR, in-app notifications, and role-based access control.
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Worked in development of a SaaS Attendance System featuring automated reminders, report generation, and multi-tenant architecture.
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Enhanced an ERP system by integrating CRM, employee, and asset modules with Azure AD and Microsoft Graph API authentication.
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Improved an Asset Management app by stabilizing code, fixing critical bugs, and adding asset validation modules.
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Refactored the Asset Management core for async performance and better maintainability.
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Researched and implemented a POC microservices for a Warehouse Management System.
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Explored AI integrations using LlamaIndex, LangChain, and Python, building RAG and Text-to-SQL agents deployed via FastAPI.