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Here is a little background

Hey! I'm Tejas Vedagiri, a Software Engineer who has spent the last several years solving complex data and infrastructure challenges within the finance and research sectors. I enjoy building tools that make engineering more efficient, such as my current work at Walmart where I'm creating an AI-powered platform that automates how we build data pipelines. Throughout my career, I've focused on making systems more reliable and cost-effective—whether that was slashing data processing costs by 70% at Walmart or helping NASA's OIIP DataViewer run 30% faster during my time at COAPS. From developing real-time loan approval systems at Temenos to building AI projects for personal wealth management, I strive to bridge the gap between complex data engineering and intuitive software solutions. I believe that the most impactful software is built when stability meets scalability, which is why I'm particularly interested in the intersection of AI and DevOps. By automating the repetitive aspects of infrastructure, I aim to free up developers to focus on high-level problem solving rather than firefighting. I'm constantly experimenting with new ways to optimize the development lifecycle to accelerate delivery without sacrificing quality. I build the resilient, transparent systems that power the global enterprise.