CV  ·  2026
Web Developer

Laxmi
Kadel

Full-stack systems thinker with 7+ years engineering scalable software and embedded platforms. Passionate about clean architecture, performance, and building things that actually work.

Contact
✉ laxmisaystoyou@gmail.com
☎ 9840286387
⌘ github.com/laxmikandel/
◎ Kathmandu, Nepal
↗ quora.com/profile/Laxmi-Kandel
Technical Skills
Languages
C / C++ Python TypeScript Go Rust Java SQL
Frameworks & Libs
React Node.js FastAPI Django gRPC TailwindCSS
Platforms & Tools
Linux Docker Kubernetes AWS GCP Git RTOS FPGA
Proficiency
Systems Programming95%
Backend / APIs90%
Frontend Engineering80%
Embedded / Hardware75%
ML / Data Pipelines65%
Education
M.Sc. Computer Engineering
Stanford University
2017 – 2019  ·  GPA 3.9
Thesis: Real-time OS scheduling for heterogeneous multi-core SoCs
B.Eng. Computer Science
UC Berkeley
2013 – 2017  ·  GPA 3.8
Certifications
AWS Solutions Architect
Amazon Web Services · 2023
CKA – Kubernetes Admin
CNCF · 2022
Google Cloud Professional
Google · 2021
Experience
Senior Software Engineer
2022 – Present
Stripe — San Francisco, CA
  • › Architected a distributed payment-retry system handling 4M+ transactions/day with 99.99% uptime.
  • › Reduced API P99 latency by 42% via gRPC streaming and intelligent connection pooling.
  • › Led a team of 6 engineers across backend, infra, and data reliability workstreams.
Software Engineer II
2020 – 2022
NVIDIA — Santa Clara, CA
  • › Developed CUDA kernel optimisations for matrix-multiply ops; 3× throughput on A100 GPUs.
  • › Built an FPGA-based hardware emulation harness cutting silicon validation time by 60%.
Embedded Systems Engineer
2019 – 2020
SpaceX — Hawthorne, CA
  • › Designed fault-tolerant RTOS scheduler for Starship avionics running on bare-metal ARM Cortex-M7.
  • › Wrote C firmware for sensor fusion (IMU + LiDAR) achieving sub-5ms interrupt latency.
Software Intern
Summer 2018
Google — Mountain View, CA
  • › Built a Chrome DevTools performance profiler panel adopted by 2000+ internal engineers.
Key Projects
NanoKernel
Preemptive RTOS kernel in < 4 KB flash for ARM Cortex-M
C ARM RTOS
FluxDB
Append-only time-series DB with LSM tree; 1M writes/sec
Go LSM gRPC
EdgeVision
Real-time object detection on Raspberry Pi using TensorFlow Lite
Python TFLite OpenCV
DevPanel
Browser-based system dashboard with live kernel metrics via WebSocket
React Rust WS
Awards
›  ACM ICPC World Finalist – 2018
›  HackMIT Grand Prize – 2017
›  Dean's List – UC Berkeley, 4× consecutive
›  Best Paper – IEEE RTAS 2021
Interests
›  Open-source contributor (Linux kernel)
›  Amateur radio (Extra class licensed)
›  Rock climbing & trail running
›  Writing at alexmorgan.dev/blog
References available upon request Laxmi Kandel · CV 2026 github.com/laxmikandel