Manikanta Dornala

Data Science And Engineering

Seattle, Washington, United States
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Summary

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Manikanta Dornala is a data science and engineering professional with 10 years of experience building production-scale analytics and reliability systems for major tech platforms. Currently helping keep Apple Intelligence reliable, he previously cut OS performance issue triage from weeks to days at Microsoft by combining telemetry, trace analysis, and pragmatic statistical models. Trained at Georgia Tech (MS CS) and IIT Kanpur (BS CS), he blends strong programming fundamentals with applied ML/NLP research on mental-health sensing and multimodal data. Comfortable across cloud-native APIs, large-scale telemetry pipelines, and fault-resilient systems, he has a track record of turning messy operational data into actionable insights that reduce time-to-resolution and improve platform health. An early student leader who helped build India’s first student-run observatory, he brings curiosity and operational rigor to both engineering and cross-functional stakeholder problems.
code10 years of coding experience
job4 years of employment as a software developer
bookMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
bookIndian Institute of Technology Kanpur
languagesEnglish, Hindi, Telugu
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Github Skills (66)

jetpack10
compose10
xamarin-forms10
kotlin10
core-library9
ionic9
orbital-mechanics9
vault9
astrology9
science9
astronomy9
python9
flask9
facebook9
astrophysics9

Programming languages (6)

TypeScriptC#JavaScriptHTMLKotlinPython

Github contributions (5)

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Pranshu258/SmartLookup

Oct 2016 - Mar 2017

Contributions:37 commits, 31 pushes in 5 months
Contributions:8 commits, 35 pushes, 1 branch in 9 months
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Manikanta Dornala - Data Science And Engineering