Shreyas Gokhale

Robotics, Embedded and IoT System Engineer

> From embedded firmware development to cloud robotics

Domains

Core expertise in Embedded Systems and cross-competency skills in Autonomous Driving, Robotics, IIoT and Wireless Sensor Networks.

Robotics

ROS development, Google Cartographer, Path and Task planning

Autonomous Driving

Sensor fusion using Kalman Filter, ADAS

IoT

Wireless Sensor Networks, Industrial IoT, BLE, LoRaWAN

Embedded Systems

BSP, ARM microcontroller, Real Time, Multi Core Parallel Programming

Business Development

Ideation and Creative thinking, Project planning and management, Team Building, Communication and Marketing

Software Dev

Static Website, dashboards, dockerizing, Open Source.

GROPUYS

Berlin

IoT Enginer February 2021 - Present

Development of Smart Home IoT Systems

  • Bluetooth Mesh
  • Zephyr
  • Embedded Linux

Augmented Robotics

Berlin

Embedded System Developer January 2020 - January 2021

Firmware Development of Augmented Reality Robo Car

  • FreeRTOS
  • WiFi
  • BLE
  • Acclerometer
  • Over The Air (OTA) updates

Fraunhofer FOKUS

Berlin

Internship + Master Thesis Researcher: SLAM March 2019 - February 2021

Decentralized, Multi-Robot, Collaborative Mapping and Exploration

  • ROS
  • Google Cartographer
  • C++
  • Cloud Simulation
  • SLAM
  • Docker and Kubernetes

Google Summer of Code

Remote / Berlin

ROS Developer at Jderobot May 2020 - August 2020

My project: JdeMultiBot was designed to extend the single robot Amazon warehouse exercise to implement a scalable, cooperative, multi-agent task and path planning system. Additionally, JdeMultiBot was intended to leverage the latest release of ROS2 (Foxy), using its features and giving students a chance to get acquainted with the new age of robotics.

  • ROS
  • ROS2
  • C++
  • Navigation 2
  • Gazebo
  • CMake

Distributed AI Laborataory

Berlin

Assistant Research Developer: IoT Middleware June 2019 - December 2019

Cloud and Predictive Maintenance Agents in Industry 4.0 Smart Factory environment

Machine Learning Agent:
ML agent which processes, trains, predicts and visualizes data.
A number of different algorithms and data inputs are supported.
In addition, RESTful application interface is made available to use.

Chariot Cloud
REST API service which handles big data operations in MongoDB and MySQL.
The data API is generic and reusable across different use cases.

  • Machine Learning
  • Java
  • Python
  • MongoDB
  • MySQL
  • Industry 4.0
  • RESTful Application
  • Data Visualization
  • Swagger OpenAPI

Technical University of Berlin

Berlin

MSc Embedded Systems Oct 2018 - Present

Second year of EIT Digital Master School Dual Degree Programme

  • Application of Robotics
  • CV: Parking Lot Detectionin Autonomous Vehicles
  • Ad-Hoc and WSN
  • Innovation and Entrepreneurship Study

BrightSight B.V.

Delft

Summer Intern July 2018 - October 2018 (Full Time)

Differential Power Analaysis attack on Data Encryption Standard (DES) Smart Cards using Raspberry Pi.

BackEnd:
Record Traces from oscilloscope, of encrypting pain text using smart cards, by USBTMC
Developing object oriented, modular architecture in Python for every component of the project
Testing apllication for different elemnts. Eg: Large file sizes, Different scopes

FrontEnd:
Interactive and polished UI using PyQt for easy user interaction
Using modules such as pyqtgraph and qthread for feature rich and responsive application

  • Encryption and Security
  • Python
  • OOP
  • PyQT
  • USBTMC

Technical University of Eindhoven

Eindhoven

MSc Embedded Systems Oct 2018 - Present

First year of EIT Digital Master School Dual Degree Programme

  • CUDA, OpenMP
  • Real Time Systems
  • Internet of Things
  • Dataflow modelling and Requirement Verification
  • Business Development

Embionics Technologies

Pune

Research and Development Engineer June 2016 - July 2017

As an Embedded Systems and Firmware Developer in a growing startup, I worked on many challenging projects and cutting-edge technologies. While delivering projects based on IoT and Automotive domain to multinational clients, I gained substantial experience in Hardware and Software designing, Low level Device driver and Application development on ARM Cortex microcontrollers and System on Chips.

  • C
  • ARM Cortex
  • C++
  • BLE
  • nrf5x

EuroTrip Planner

A quick and economical flight planner using Python, Docker, MongoDB and Skyscanner APIs

Computer Vision Project

Sensor Fusion of Camera, LiDAR and RADAR for parking lot detection in autonomous vehicles

Ultra Lightweight Bird Tracker

Using BLE and nrf52 SOC

LoRaWAN End to End System

From Sensor to Dashboard

Wireless Sensor Network Project

Vehicle to Vehicle communication using WAVE and WiFi-p for emergency vehicles

Multicore Proecessing Project

Porting and optimization of EEG application in C to Assembly CGRA, CUDA and OpenMP

IoT and ML project

Data analysis and prediction of energy grid usage for IoT using machine learning

Contact Me

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