I am a FinOps Certified Practitioner and Google Cloud Digital Leader with professional experience as a Junior Software Engineer at a FinOps Certified Platform.My expertise is in building high-availability, cost-conscious, and scalable cloud-native applications. I am a specialist in Go (Golang) and the GCP ecosystem, but I am also highly proficient with Python and AWS, giving me a flexible hybrid-cloud skillset.My professional work includes designing and deploying Go-based microservices, building secure gRPC/Protobuf APIs, architecting systems for Kubernetes (GKE), and managing data across Cloud Spanner and AWS DynamoDB. I also have hands-on experience in AI prompt engineering with the Gemini LLM to build AI-powered tools.What I can do for you:*Develop and maintain backend microservices in Go (Golang).*Build and deploy scalable applications on GCP (Google Cloud) and AWS.*Create RESTful APIs and web applications using Python, Flask, and PostgreSQL.*Design and manage complex databases (Cloud Spanner, DynamoDB, PostgreSQL, MongoDB).*Develop Machine Learning models (TensorFlow, Scikit-learn) and Computer Vision applications (OpenCV).*Build IoT systems with Raspberry Pi and Arduino.I am a reliable, detail-oriented engineer who loves solving complex problems. My "Top 1 Best Paper" award for my ML/IoT thesis <!----><!----><!----><!----> demonstrates my commitment to excellence and delivering high-quality, fully-realized projects. I am eager to bring my cloud and backend expertise to your team. Let's build something great together!
Experience: Less than 6 months
Experience: Less than 6 months
Experience: 6 months - 1 year
I used Flask to build the complete, production-ready backend for my "Top 1 Best Paper" thesis. This included building a RESTful API, handling user auth with Flask-Login and OAuth, and interfacing with a PostgreSQL database via SQLAlchemy.
I have deep knowledge of Python. I used it to build the entire backend for my "Top 1 Best Paper" thesis, which included a RESTful Flask API, a TensorFlow/Scikit-learn ML model, and an IoT data pipeline. I also built a real-time OpenCV app for a face mask detector.
Experience: 6 months - 1 year
I use Go (Golang) professionally every day. At my current job, I architect and build cloud-native microservices, secure gRPC/Protobuf APIs, and internal messaging systems. I am highly experienced with Go's concurrency features (goroutines, mutexes, atomic flags) to manage distributed state in high-availability systems.
Experience: Less than 6 months
I use prompt engineering in my professional role. I iteratively refine and engineer prompts for Google's Gemini LLM to transform raw event data (from Slack, GitHub) into actionable daily, weekly, and monthly reports for scrum masters.
Experience: Less than 6 months
Experience: Less than 6 months
Experience: Less than 6 months
I design and build applications for Kubernetes. I professionally containerize (Docker) Go microservices with a clear architectural path for migration to GKE. My work is built on a GKE-portable foundation, and I understand its orchestration principles.
Experience: Less than 6 months
I developed a production-level RESTful API from scratch using Python and Flask for my "Top 1 Best Paper" thesis. This API handled all IoT sensor data ingestion, managed user authentication (via Google OAuth), and served data to a frontend dashboard.
Experience: Less than 6 months
I work extensively in a GCP environment. I deploy Go microservices to Cloud Run and Managed Instance Groups (MIGs), architect systems using Cloud Spanner for database, Pub/Sub for messaging, and IAM for security. I am also a Google Cloud Digital Leader.
Experience: Less than 6 months
I have managed data across many databases. Professionally, I use GCP Cloud Spanner and AWS DynamoDB. For my full-stack projects, I've used PostgreSQL (with SQLAlchemy) and MongoDB for web apps and data-driven systems.
Experience: 1 - 2 years
I have built and trained multiple ML models. I developed a TensorFlow/Keras (MobileNetV2) CNN for a face mask detector, achieving 98?curacy. For my award-winning thesis, I engineered a TensorFlow/Scikit-learn model to predict rice yield from sensor data.
Experience: Less than 6 months
“I have found someone who is smart, has a great work ethic and is easy to work with.”
Sara Brumfield
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