Hannah Kim
hannah.kim@embeddedroad.example
Edge AI Engineer
Optimizes ML inference pipelines for small MCUs and battery-powered sensing products.
📍 Seoul, South Korea
Level 8
Junior Engineer · 7,035 XP
Top 17.6% globally
63
Topics Learned
0
Rare Skills
17d
Current Streak
25d
Longest Streak
Evidence
- 63 across 4 branchesTopics learnedFrom progress
- Aliasing Effect and Anti-Aliasing Filter Need · DSP & Signal Processing · 2026-09-12
- ADC Key Specs: Resolution, ENOB, INL, DNL, SNR · Embedded Systems · 2026-09-11
- Aliasing: Overlapping Spectra When fs < 2·fmax · Signal Processing · 2026-09-10
- ARM Cortex-M Pipeline Stages (M0 to M55) · Embedded & Firmware · 2026-09-09
- Analytic Signal and Hilbert Transform · DSP & Signal Processing · 2026-09-08
- ADC Operation: SAR, Successive Approximation, Reference · Embedded Systems · 2026-09-07
- 63Active daysFrom progress
- Current streak: 17 days
- Longest streak: 25 days
- 1 (1 with source)ProjectsSelf-reported
- TinyML Reference Design · github
Verified claims were checked by a person or cannot be produced without doing the work. Derived claims are computed from this profile’s own progress records. Self-reported claims were entered by the engineer and have not been checked.
Career Achievements
🌐
Full Stack Breadth
Rare
🎯
Lead Frequency
Rare
🏗️
Systems Architect
Rare
🔌
Intern Learner ×50
📘
Foundational ×50
Uncommon
⚙️
Embedded Systems Curious
Common
⚙️
Embedded Systems Curious
Common
⚙️
Embedded Systems Explorer
Common
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Embedded Systems Explorer
Common
⚙️
Embedded Systems Tinkerer
Common
⚙️
Embedded Systems Tinkerer
Common
⚙️
Embedded Systems Tinkerer
Common
Engineering Projects
TinyML Reference Design
Edge AI Engineer
Hannah Kim built a production-oriented project around TinyML, Quantization, CMSIS-NN.
TinyMLQuantizationCMSIS-NNSensor fusionTinyMLQuantization
Branches
Embedded & Firmware5%
Embedded Systems4%
ATS-optimized CV available
Download CV