Automation Engineer at Self-Employed

• Automated data pipelines using Python, AWS, Docker, Terraform, FastAPI, and REST APIs to operationalize secure workflows for JSON and YAML payloads with monitoring and logging • Developed data mining tools using Pandas, Scikit-learn, PyTorch, Hugging Face, SQLAlchemy, and Beautiful Soup, Git, and Github to transform, aggregate, and evaluate data from multiple sources • Integrated LLM-powered tools using GPT, Claude, Llama, Slurm, OpenAI API, and Linux to augment research and automation workflows for text extraction, summarization, and classification • Set up CI/CD pipelines and pre-commit hooks using Github Actions, PyTest, Black, and Ruff to automate testing, linting, and deployment for microservice reliability • Built web dashboards using HTML, CSS, JavaScript, React, Streamlit, and Dash to provide non-technical users with self-service access to business data

Software Engineer Intern at Amazon

• Built an observability microservice using Python, AWS, Bash, Prometheus, Grafana, and REST APIs to aggregate and visualize ECS error metrics for data driven failure diagnosis of cloud service interruptions in an Agile setting • Implemented infrastructure as code (IaC) using Terraform to automate provisioning of IAM, ECR, ECS, Lambda, CloudWatch, VPC, and EventBridge resources for HIPAA compliant systems • Orchestrated CI/CD pipelines using CircleCI, PyTest, Ruff, Docker, and Git to automate testing and deployment for production quality releases in a Linux environment • Developed multimedia processing pipelines using S3, Pydantic, NumPy, Imagemagick, and FFmpeg to improve uptime and resource utilization for multimedia services across ECS clusters