Hi, I’m Tejas Shetty, a Fresh Master of Computing graduate from ANU (Artificial Intelligence) who enjoys building and shipping reliable software end-to-end. I’ve worked across fullstack and backend systems, integrating external APIs, designing core services, and improving performance with practical engineering choices—whether it’s scaling concurrent workloads or debugging production issues quickly.
I also have strong applied AI experience, including LLM-based agentic chatbot integration, RAG-style workflows, and computer vision models like YOLO for defect detection. I love taking ownership of what I build, learning new tools fast, and turning messy real-world constraints into clean, measurable outcomes—ideally in a team where I can contribute from day one and keep leveling up.
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