Results-driven Software Engineer with a Master’s degree in Artificial Intelligence, specializing in Neural Networks, Deep Learning, and Big Data. Proven hands-on experience executing AI/ML workloads, benchmarking Large Language Models (LLMs), and evaluating vector databases and embedding encoders for scalable search and retrieval tasks. Skilled in optimizing microservices within cloud-native Kubernetes environments using Amazon EKS, with strong proficiency in performance profiling across CPUs, GPUs, and AWS cloud accelerators such as AWS Inferentia and NVIDIA GPUs on EC2. Brings full-stack development expertise alongside experience in automation frameworks, AWS CI/CD pipelines (CodePipeline, CodeBuild), and database optimization with Amazon RDS and DynamoDB. Known for cross-functional collaboration across infrastructure, hypervisors, and model design layers to deliver robust, high-performance, and scalable enterprise solutions on AWS.