Aditya D.

I am a skilled Python and Cloud Engineer with expertise in building scalable, high-performance applications on AWS. I have hands-on experience with FastAPI, Flask, Django, and microservices architecture, along with proficiency in Infrastructure as Code (IaC) using Terraform, AWS CDK, and CloudFormation. With a strong foundation in DevOps, I have automated CI/CD pipelines using GitHub Actions, Docker, and Kubernetes, ensuring seamless deployments and high reliability. I have also integrated observability and monitoring solutions using OpenTelemetry, Grafana, Prometheus, Loki, and Tempo to gain real-time insights into system performance. In the AI/ML domain, I have worked on computer vision and deep learning models, leveraging OpenCV, TensorFlow, and Hugging Face for visual automation and intelligent data processing. My database expertise spans PostgreSQL, MongoDB, OpenSearch, and DynamoDB, optimizing data storage and retrieval for large-scale applications. I have contributed to multiple cloud-native projects, including RPA automation, multimedia entertainment platforms, and microservices-based automation frameworks. I am an AWS Certified Solutions Architect – Associate (2024) and passionate about cloud computing, backend development, and DevOps automation. I am always eager to explore new technologies and solve complex engineering challenges, making me a valuable asset to any cloud and backend engineering team.