🎓 Software Architect & ML Infra Engineer | MSE @ Carnegie Mellon University
📍 Currently based in Pittsburgh, PA
📅 Graduating Dec 2025 | MSE Director’s Scholarship Winner
- Architecting a cloud-native ML infrastructure with Azure, Kafka, Debezium, and Snowflake
- Building event-driven data pipelines and RBAC-secured analytics platforms
- Fine-tuning diffusion models for Prompt-to-Prompt editing and object cardinality control
- Exploring AI observability and scalable ML deployment strategies
- Philips Healthcare → Cloud-native clinical imaging platform | Scalable DICOM rendering | ML integration
- Led microservices development with .NET Core, TypeScript, and AWS
- Delivered infra-as-code, automated CI/CD, and real-time image streaming
const ramyaganesh = {
pronouns: "she" | "her",
languages: ["Python", "Java", "C#", "SQL", "TypeScript", "JavaScript"],
specialties: [
"ML Infrastructure",
"Cloud-Native Architecture",
"Generative AI",
"Distributed Systems"
],
frameworks: ["PyTorch", "Hugging Face", "Keras", ".NET", "React", "Angular"],
cloud: ["Azure", "AWS", "GCP"],
dataTools: ["Kafka", "Debezium", "Snowflake", "Hive", "Spark", "Airflow"],
interests: ["AI Infra", "Poetry", "Human-centered design", "Visualization"]
}