Harsh Ahlawat

Senior Software Engineer at Qualcomm

Hyderabad, Telangana, India
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Summary

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Senior
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Top School
Harsh Ahlawat is a Senior Software Engineer with 7 years of hands-on experience specializing in embedded systems and instrumentation, currently building firmware at Qualcomm. He brings deep practical expertise with ARM Cortex-M4/M0 (STM32), ESP8266/ESP32, Arduino and 8051 platforms, and is proficient in Embedded C, peripheral interfaces (UART/SPI/I2C), low-power design and STM32 development ecosystems. His background blends an MTech in Instrumentation with roles across R&D and product-focused teams, including Vayavya Labs and IISc, giving him both research rigor and production delivery experience. Comfortable across KEIL, STM32CubeIDE, Atollic and VS Code, he pairs electronics knowledge with firmware engineering to bridge hardware-software gaps. Known for pragmatic problem solving, he often contributes by simplifying peripheral integration and power management in resource-constrained designs.
code7 years of coding experience
job6 years of employment as a software developer
bookBTech - Bachelor of Technology Electronics and Instrumentation Engineering, BTech - Bachelor of Technology Electronics and Instrumentation Engineering at Galgotias College of Engineering and Technology
bookHSE - 12th Non Medical, HSE - 12th Non Medical at Birla Vidya Mandir, Nainital
bookSSE - 10th Science, SSE - 10th Science at Air Force School Hindan
bookMaster of Technology - MTech Instrumentation, Master of Technology - MTech Instrumentation at National Institute of Technology Kurukshetra
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Stackoverflow

Stats
51reputation
27kreached
7answers
2questions
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Github Skills (22)

intellij-platform8
intellij-plugin8
intellij8
google-earth7
jetbrains7
datasource6
database6
earth-engine6
ms-access6
earth6
latex6
google-maps6
antlr6
google-earth-engine6
jquery6

Programming languages (2)

JavaScriptKotlin

Github contributions (5)

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hariomahlawat/GeneratorCare

Mar 2023 - Jun 2023

Contributions:214 pushes, 1 branch in 3 months
We provide a pixel level training dataset for landuse classification using google earth engine. All associated scripts are also provided.
Contributions:1 release, 86 commits, 6 PRs in 4 months
pythonlandusegoogle-earth-enginedatasetearth
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Harsh Ahlawat - Senior Software Engineer at Qualcomm