Miha Kralj
Global Senior Partner - Microsoft Practice at IBM
Redmond, Washington, United States
Summary
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RockstarMiha Kralj is a seasoned cloud and enterprise architecture leader with three decades of experience guiding digital transformations at IBM, Microsoft, AWS, Accenture, EPAM and now back at IBM leading the Microsoft Practice. He excels at turning executive buzz into concrete technical decisions, steering clients away from costly repetition and extracting measurable value from cloud investments. Known for blunt, pragmatic guidance and memorable PowerPoints, he blends strategic oversight with hands-on delivery frameworks developed at AWS and scaled across global practices. Fluent in Balkan languages and based in Redmond, he brings cross-cultural fluency and a runner’s discipline to complex, stakeholder-heavy programs. Beyond consulting, he has a curious tinkerer streak—codes for fun on GitHub and admits to breaking things to learn how they fail—so his advice is grounded in real-world experimentation as well as enterprise rigor.
8 years of coding experience
31 years of employment as a software developer
English, Slovenian
Github Skills (115)
pandas-ta10
pinescript10
trading10
coinbase-api10
historical10
quantitative10
technical-indicators10
momentum10
crypto10
pandas10
captive-portal10
oscillator10
indicator10
forex10
stock10
Programming languages (9)
Github contributions (5)
mihakralj/opnsense-cli
Aug 2023 - Jul 2024
OPNsense CLI is a command-line utility for FreeBSD, Linux, MacOS and Windows that empowers administrators and power users to manage, configure, and monitor OPNsense firewall systems.
Contributions:185 pushes, 1 branch, 34 tags in 11 months
firewall-configurationopnsenseopnsense-firewall
mihakralj/QuanTAlib
Apr 2022 - Jan 2023
C# TA library for real-time financial analysis, offering ~100 indicators. Available on NuGet, Quantower compatible. Ensures early validity of calculated data, calculation accuracy tested against four TA libraries.
Contributions:5 releases, 1 review, 173 commits in 8 months
quantitative-analysisdata-processinghistoricalhistorical-datastock
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