# Bhavesh Kakwani

> Embedded Software at Meta Reality Labs | Wearable Contextual AI i.e. putting AI on your sunglasses!

Location: United States, United States
Profile: https://flows.cv/bhaveshkakwani

Embedded systems specialist | Energy, Robotics, Aerospace, Wearables

## Work Experience
### Software Engineer @ Meta
Jan 2023 – Present | San Francisco Bay Area
Wearables Contextual AI team

### Founding Software Engineer @ Fractalytic
Jan 2022 – Jan 2023 | Toronto, Ontario, Canada
- Built the MVP hardware, firmware, and enclosure for a camera-based, battery-powered, LTE-connected smart meter reader on a tight 1 month timeline.
- Acquired 2 paying customers for our smart meter reader, and built two ruggedized and weather-proof versions of our device to deploy on-site at their buildings.
- Upgraded to V2 magnetoresistive smart meter readers for our existing customers to give them a 15x improvement in time granularity and a 500x improvement in measurement precision.
- Authored the backend software in Python and Django.
- Visualized our deployed IoT devices' metrics on our internal dashboard using Grafana.
- Created the MVP of our building energy data analytics solution using Python, Pandas, Streamlit, Plotly, and Firebase.
- Launched the MVP of our SaaS tool to 40 beta users. Conducted user interviews with them to gain feedback, and released major feature launches every week.
- Interviewed, hired, and managed a design consultant to develop our outreach materials.

### Embedded Software Consultant @ Schneider Electric
Jan 2021 – Jan 2022 | British Columbia, Canada
- Composed the communications logic between Schneider Electric's solar inverters and the smart grid protocol IEEE 2030.5, using embedded C.
- Tested the system for 60+ checks of correctness using Python, Gherkin and the BDD methodology.

### Embedded Software Consultant @ Quanta Vici
Jan 2019 – Jan 2022 | Toronto, Ontario, Canada
- Architected state-based design in C to integrate NFC and Bluetooth (BLE) on IoT smart heated gloves
- Composed the OTA (over the air update) feature to update the firmware via BLE from a smartphone
- Wrote Python scripts to automate the build process and device flashing process for manufacturing

### Embedded Software Consultant @ CleanConnectAI
Jan 2022 – Jan 2022 | United States
- Transferred PyTorch computer vision algorithms from CPU to GPU, and used multi-threading, to improve the video inference engine's speed by 2x.
- Identified a critical memory leak that caused the video inference engine to crash every two hours. Fixed the leak to reduce memory usage to 12GB RAM - a 5x reduction from before.
- Profiled the AI video pipeline using the Python profiling tools Memray and PyInstrument.

### Avionics Specialist @ SpaceRyde
Jan 2020 – Jan 2021 | Greater Toronto Area, Canada
- Architected the distributed embedded hardware and software for rocket and balloon flight systems.
- Embedded development on Linux using C++, Python, ROS and ROS2 on the Nvidia Jetson platform.
- Created reproducible execution environments using Docker.
- Architected and developed ground station GUI using C++, Qt, PostgreSQL, Grafana and ROS2.
- Developed the mission control interface using Python, Flask, Dash and ROS2.
- PCB schematic and layout design for 3 flight avionics and motor control modules.
- Developed remote camera visualization software using Gstreamer, Icecast and HTML5 video.

### Embedded Software Developer @ ecobee
Jan 2018 – Jan 2020 | Toronto
- Developed the code in C for a novel, power-constrained, smart light-dimmer product from scratch
- Wrote controllers for ADC, DMA, Bluetooth, sub-GHz radio, flash memory, and I2C on an RTOS
- Designed packet protocol to communicate with Ecobee's product ecosystem over sub-GHz radio
- Developed system tests and integration tests using Python
- Designed, simulated (using MATLAB + Simulink), and implemented a PID controller for reliable dimming of any type of lighting load (inductive, resistive, or capacitive)
- Designed, implemented, and tested a "bulb intelligence" algorithm to identify lighting loads and apply a customized dimming strategy to each one at runtime

### Electronics and PCB Design Freelancer @ Bhavesh Kakwani
Jan 2018 – Jan 2018 | Toronto, Canada Area
Clients:
- Sinclair Interplanetary
    - Designed 4 PCBs for electrical test automation of star trackers and reaction wheels using Altium
    - Ordered PCBs and components, hand-assembled for bring-up and tested their functionality
- DRAM Innovations
- Ovandi

### Embedded Software Developer @ Agfa Graphics
Jan 2016 – Jan 2017 | Mississauga
- Embedded software development using ​C​ and ​C++​ in a ​Linux​ environment
- Use of MQTT and Modbus messaging protocols
- GUI application development using C++ and Qt framework
- Embedded development on a custom Linux build using ​buildroot
- Development of drivers and controllers for integrating new hardware modules into the system

### Radio Hardware Engineer Co-op @ Ericsson
Jan 2014 – Jan 2015 | Ottawa, Ontario, Canada
▪ Verification of radio test results: EVM, BER, SNR, frequency accuracy, power, and more
▪ Script creation and software installation in preparation for radio hardware testing
▪ Improving the team's way of working by writing result checking tools in ​LabVIEW
▪ Version control of LabVIEW software tools on the team's repository

### Neuroscience Research Volunteer @ McMaster University
Jan 2013 – Jan 2013 | Hamilton, Ontario, Canada
▪ Learned to use the Fieldtrip EEG toolbox in MATLAB autonomously, and used it to program
code to extract, pre-process and clean up EEG signals from raw data files
▪ Successfully reduced the signal-to-noise ratio in these EEG signals by a larger amount than
the raw data being used, thus making the experimental results valid and useful
▪ Attended meetings with Dr Reilly and Dr Connolly to present these results
▪ Submitted the MATLAB code, and wrote up user documentation and a technical report


## Education
### Bachelor of Engineering (B.Eng.) in Electrical and Biomedical Engineering
McMaster University

### Cambridge International School, Dubai


## Contact & Social
- LinkedIn: https://linkedin.com/in/bhaveshkakwani

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Source: https://flows.cv/bhaveshkakwani
JSON Resume: https://flows.cv/bhaveshkakwani/resume.json
Last updated: 2026-04-05