Svetozar Miučin

Solutions Architect @Amazon Web Services (AWS)

Munich, DE
MOBILE NUMBERS
+91 *********19

Signup · Get unlimited contacts

WORK HISTORY

Sep 2022 — Present

Solutions Architect @Amazon Web Services (AWS)

View department →

Munich, DE

CTO as a Service\" for top German startups- Helping startups clarify product vision, and working backwards towards technological solutions

EDUCATION

2015 — 2018

UBC Electrical and Computer Engineering

Doctor of Philosophy (PhD), Electrical and Computer Engineering

2006 — 2010

Univerzitet u Novom Sadu

Bsc, Computer Engineering and Computer Communications

2012 — 2015

Simon Fraser University

Doctor of Philosophy (PhD) (transferred), Computer Science

2010 — 2011

Univerzitet u Novom Sadu

MSc, Computer Engineering and Computer Communications

SKILLS

Device DriversAndroid PortingBashEclipseEmbedded CAndroid DevelopmentSoftware DevelopmentPythonSubversionDistributed SystemsSoftware EngineeringVerilogEmbedded SoftwareX86 AssemblyDigital Signal ProcessorsAlgorithmsC++Design PatternsVirtual Machine SchedulingVhdlLinuxCVirtualizationEmbedded LinuxJavaXenOopMatlabVisual StudioEmbedded Systems

ABOUT SVETOZAR MIUČIN

I help startups turn cloud infrastructure into competitive advantage. PhD in Computer Engineering, now a Solutions Architect at AWS working with hundreds of startups across Germany - from seed to unicorn.My day-to-day: I sit between C-level strategy and engineering execution. I\'ve influenced double-digit millions in cloud opportunities, architected production systems under pressure (one shipped in a month), and helped customers achieve outcomes like 50% compute savings, 39% revenue growth around critical launches, and successful migrations into AWS.Before AWS, I spent 12 years building compilers, optimizing memory systems, and shipping software across embedded, automotive, security, and AI/ML. My PhD at UBC produced the Data-Driven Spatial Locality framework - a complete pipeline that automatically discovers how to lay out data in memory for optimal performance, reproducing optimizations previously found only by domain experts, and achieving 14–27% runtime improvements on real workloads.What I focus on now: • GenAI product strategy and implementation from business case to production PoC • Cloud architecture for resilience, cost optimization, and scale • Bridging the gap between what leadership wants and what engineering can shipI\'ve delivered 15+ public talks, created internal GenAI playbooks adopted across EMEA, and launched community-driven hackathons that turned early-stage ideas into deployed products.Always happy to talk with founders, CTOs, and engineers building on AWS, especially if you\'re navigating GenAI adoption or scaling in the cloud

This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.