Talent
TJ
Tejas JagdaleResults-driven Full-Stack Engineer with over a year of experience architecting scalable cloud-native platforms and deploying production machine-learning models. Proven expertise in AWS infrastructure, FastAPI microservices, and applied AI/ML solutions — with a strong grounding in security best practices and DevOps. Comfortable operating across the stack: from designing systems that hold up under 10,000+ requests per second, to training models that ship, to explaining the trade-offs to non-technical stakeholders. Currently deepening that foundation with an M.Sc. in Computer Science at TU Dresden, focused on AI and distributed systems.
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