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Embedded Systems Developer Resume

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SUMMARY

  • All - rounder systems designer and developer with strong coding background in C (and C++), wireless IoT technologies and protocols - CoAP, MQTT, OpenThread and BLE with 2 years of industry experience in medical (Harvard Medical School) & wireless power transfer devices industry ( Confidential Inc.) backed by degree in Internet of Things.

TECHNICAL SKILLS

Programming: C, C++, ARM Assembly, Multithreading, CUDA, Python, Bash, Socket and POSIX APIs

Platforms: nRF52840 MDK, Nvidia Jetson, Arduino, Raspberry Pi, TI Launchpads

Software Tools: GCC, Segger Embedded Studio, Keil, Eclipse, git, MakeFile, MATLAB, Wireshark

Network Protocols: OpenThread, IPv4, IPv6, TCP, UDP, CoAP, MQTT, Bluetooth Low Energy (BLE), ZigBee

Embedded I/O: I2C, SPI, UART, USB, CAN, GPIO

Operating Systems: Linux (Ubuntu, Raspbian), FreeRTOS, HyperTerminal OS, VM Wares

PROFESSIONAL EXPERIENCE

Confidential

Embedded Systems Developer

Responsibilities:

  • Responsible for leading firmware development for nRF52840 (32-bit ARM Cortex M4) networking on OpenThread network to efficiently transfer power for MR based wireless charging of UAVs, mobile and laptops
  • Developed a bare-metal C code on principles of finite state machine to communicate 12-bit ADC sensing values in an IPv6/UDP packet to an edge computing device and receive back configuration settings to efficiently route power for wireless charging along with maintaining 90% less traffic and thus by increasing battery life
  • Upgrading wireless power transfer units based on AirFuel compliance guidelines; developing custom BLE profiles, test cases and application layer for A4WP (PRU, PTU) that runs on DA14585 (32-bit ARM Cortex M0)

Confidential

Embedded System Engineer

Responsibilities:

  • Responsible for developing a real time image processing embedded system on ARM + DSP board, implementing then pending patent technology for assessing visual performance of nonverbal subject (NIH funded project)
  • Developed C application from MATLAB POC code, leveraged OpenCV2.2 C library for ARM and TI’s Image Processing Library for DSP, worked with Linux V4L2 drivers for live video feed and UART comm. for UI control
  • Delivered functional system that processes live video feed at 14 fps and detects OMR at 60% accuracy; designed data and command transfer protocol and created C library for encoding and decoding protocol; & designed algorithm to boost accuracy up by 30%

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