Daniel Sooknanan Email & Phone Number

Trinidad And Tobago

As Tech Lead of the Ventri project (a full-stack embedded IoT product for the pharmaceutical industry), Daniel has overseen the design and implementation of the Ventri tech stack, comprising an ESP32 running on Amazon FreeRTOS, AWS cloud backend and React web app. More recently, he has been actively involved in the rapid prototyping of UWB sensors for UAV applications. 𝗣𝗮𝘀𝘁 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀:• 𝗘𝗺𝗯𝗲𝗱𝗱𝗲𝗱 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 › Led the development of the full embedded stack for a low cost IoT sensor/device (2021/22, ESP32, FreeRTOS, AWS IoT Core) › Rapid sensor prototyping with ultra-wideband sensors and ARM-based microcontrollers for unmanned aerial vehicles (2022, nRF-SDK, FreeRTOS, C)• 𝗪𝗲𝗯 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 › Developed a cloud backend solution for the processing & management of sensor data from a fleet of IoT sensors (2021, AWS IoT Core, AWS Amplify, AWS AppSync/GraphQL, AWS Lambda - Node.js)• 𝗗𝗲𝘃𝗢𝗽𝘀 › Deployed the continuous integration pipelines for a full stack IoT product (2021, AWS Amplify, AWS IoT)• 𝗔𝗽𝗽 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 › Developed a portable web app for surfacing and visualizing temporal IoT sensor data (2021, React, Javascript, AWS Amplify)

As an ASWE at Virtana, Daniel was involved in the development and maintenance of a Unity-based robotics simulator; performed 3D modeling of robots and their environments, including interactable assets (2019, Unity, C#)

Trinidad And Tobago

Taught the following BTec Electrical and Electronic Engineering courses, enhancing students' practical skills and understanding:- Hardware Systems Applications (VHDL-based FPGA system design)- Digital Electronics (including simulation of digital circuits using Intel Altera tools)- Principles of Microcontrollers (using Assembly to develop embedded applications using a PIC microcontroller)Supervised upwards of 20 students for their final year projects and received an overall student feedback rating of 5/5

Developed a high performance, purpose-built, non-linear optimizer to help model grid-wide electrical loads, using C/C++ and CUDA.

In-lab support, teaching duties, tutoring

Master Of Philosophy (M.Phil.), Electrical And Computer Engineering

Thesis Title: Developing Parallel Algorithms and Applying High Performance Computing to Facilitate the Deployment of Smart Grids.

Bachelor Of Science (B.Sc.), Electrical And Computer Engineering