About
Co-Founder at Trillo Inc. Trillo leverages cutting-edge AI and low-code technologies to…
Services
Experience
Education
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MS Computer Science, Massachusetts (WPI)
GPA: 3.4
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Volunteer Experience
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Director
Ruya Foundation
- Present 13 years 3 months
Social Services
Secretary and Member - Board of Directors.
Courses
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Advanced Computer Architectures
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Cryptography
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Mobile Data Communications
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Network Security
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Software Design
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Honors & Awards
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Google Data Professional
Google
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Google Cloud Architect
Google
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Technology and Team Collaboration Award
Cisco Systems Inc
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Bo Y.
Interesting to see AWS creates an Airflow Custom Operator to run Spark on EKS via our open source project Batch Processing Gateway: https://lnkd.in/ghvqn-mb Check out Batch Processing Gateway (https://lnkd.in/gGjVCWWe) to see how you can easily run Spark in a multi-cluster Kubernetes environment.
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Christian Posta
🎯 Running inference workloads on Kubernetes? I just wrote a deep dive on Gateway API Inference Extension and how it works. The Gateway API Inference Extension introduces two new Custom Resource Definitions (CRDs): InferenceModel and InferencePool. By using these two new resources, along with the endpoint selector, your L7 routing infrastructure becomes an “Inference Gateway” enabling you to self-host GenAI/LLMs with a “model-as-a-service” mindset. https://lnkd.in/g_eFqwUd #ai #llm #genai #inference
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Ozgun Erdogan
Today, we're excited to announce Ubicloud PostgreSQL v2: Seven new features, higher performance! https://lnkd.in/eTDxw4bc How is this different than other managed Postgres solutions? 1. We use local NVMes. This helps us deliver price-performance that's 7.9 - 11.1x better than Aurora Postgres. 2. Our team has years of experience with Postgres. This makes us keep reliability as a forethought. 3. Ubicloud provides the first open-source solution for managed Postgres. This keeps you in control of your database. If interested, check out our v2 and tell us what you think! ⬇️⬇️⬇️
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Avinash Desireddy
🔄 Thrilled to announce our latest AWS Big Data Blog post, co-authored with Suvojit Dasgupta "Build end-to-end Apache Spark pipelines with Amazon MWAA, Batch Processing Gateway, and Amazon EMR on EKS clusters" 🔗 Read the full blog post: https://lnkd.in/gD4TQDPp 🎯 What we've engineered: - Seamless integration of Amazon MWAA with Batch Processing Gateway - Custom BPGOperator for streamlined job submissions - Enterprise-grade orchestration capabilities - Advanced multi-cluster management solution 🛠️ Key Benefits: - Clear separation of Platform & Data Engineering responsibilities - Centralized code management - Enhanced maintainability - Standardized job submission interface 🖥️ Explore the code: https://lnkd.in/gDMCvxZE Dive into the implementation details, contribute, or adapt for your needs! 🙏 This publication wouldn't have been possible without: - Technical review from Navnit Shukla, Mahesh Kotha and Peter Manastyrny - Detailed Security review from Ryan Braley - Copy edits from Karen Twelves - Incredible support from our AWS Big Data Blog PMO team Derek Young and Nausheen Sayed Amazon Web Services (AWS) #AWSBigData #ApacheSpark #MWAA #EMRonEKS #CloudArchitecture #DataEngineering
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