I am a software engineer specializing in AI benchmarking, agent evaluation, and reinforcement learning environments. I enjoy designing challenging, multi-step tasks that test how autonomous agents reason, execute commands, and solve real-world engineering problems. My experience includes building reproducible Docker-based environments, deterministic verifiers, hidden test suites, trajectory auditing, and failure-mode analysis for frontier AI systems. I have also built LLM-powered applications, fine-tuning workflows, computer vision systems, scalable backend services, and production MLOps infrastructure. I am comfortable working across machine learning, distributed systems, CUDA optimization, Kubernetes, and high-throughput inference. I am motivated by practical problem-solving and by creating reliable evaluation tools that help make AI systems more capable and trustworthy.…I am a software engineer specializing in AI benchmarking, agent evaluation, and reinforcement learning environments. I enjoy designing challenging, multi-step tasks that test how autonomous agents reason, execute commands, and solve real-world engineering problems. My experience includes building reproducible Docker-based environments, deterministic verifiers, hidden test suites, trajectory auditing, and failure-mode analysis for frontier AI systems. I have also built LLM-powered applications, fine-tuning workflows, computer vision systems, scalable backend services, and production MLOps infrastructure. I am comfortable working across machine learning, distributed systems, CUDA optimization, Kubernetes, and high-throughput inference. I am motivated by practical problem-solving and by creating reliable evaluation tools that help make AI systems more capable and trustworthy.WWWW…