Summary
Overview
Work History
Education
Skills
Projects
Timeline
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Lohit Sachdev

IoT Engineer

Summary

A keen observer, good listener, passionate about electronics, a vivid thinker are some of my traits, in addition, I have an inquisitive mind which promotes innovation & creativity. I believe challenges are an
indivisible part of our lives and I face them with patience, determination and the backbone of my strength is my spiritual practice.

Overview

4
4
years of professional experience
4
4
years of post-secondary education

Work History

IoT Engineer

Neoma Limited
ShaTin
08.2022 - Current
  • Worked with BLE Gateways (Raspberry Pi) to write custom scripts for maintaining & increasing system Efficiency & Performance time for our BLE based guest monitoring system (FIFA World Cup 2022)
  • Installed (on-site), Managed & Monitored full Systems Infrastructure for FIFA World Cup 2022 to maintain highest level of System Performance & availability.
  • Managed a complete IoT System Development life cycle starting from implementing Messaging Protocol to Data Analysis using DynamoDB on frontend application. (used MQTT, Redshift, Lambda & API Gateway)
  • Participated in implementation of System Security and Data Assurance for hardware solutions. (used Balena OS, Docker Files)
  • Developed Backend System Flow for Space Occupancy Sensors & Smart Doorlock Devices. (used IoT Application Stack, DynamoDB & Node.js)
  • Managed R&D for a full Alarm Server & Backend implementation for Facial Recognition enabled CCTV Cameras. Increased Speed, Accuracy, Performance, Security & Reliability by 45% for the whole system.(used EC2, Python, IoT Application Stack & DynamoDB)
  • Provided 2nd and 3rd level technical support and troubleshooting to internal and external clients.
  • Monitored, Tested application performance & provided 1st, 2nd & 3rd level Technical Support to identify potential Bottlenecks, develop solutions and Collaborate with developers on solution implementation for internal clients (APP & Dashboard) and external clients (FIFA Women's World Cup 2023) (assumed Role as QA & Project Manager)


Engineer Trainee

Smart Mobility Co. Ltd
Kwai Fong
06.2021 - 07.2022
  • Worked in Research, Design & Development team for Solar Electric Boats.
  • Worked on Electromechanical Designs for the Control Panel System. (Complete Wiring Diagram of a Solar Electric boat including all the components and labeling)
  • Worked on Control Panel System Electronics, Integrating different components (Raspberry Pi, GPS module, MPPT Controller)
  • Worked on Control Panel System Communication. (Integration of MPPT controller with Raspberry Pi using RS-485 standard and MODBUS protocol. Used Python to extract the data stored inside the MODBUS Registers of the MPPT controller)
  • Sourcing Components and understanding the working of different components to be used (complete BOM creation)

Engineering Training

City University Of Hong Kong
Kowloon Tong
06.2020 - 08.2020
  • Electronic Practice Training (PCB design using Altium Designer & fabrication of PCB) for designing 5x5 LED Cube. (used TH Soldering)
  • Programming Practice Training (Using Python & OpenCV for making Visual recognition application to recognize faces from a given photo)
  • Network Practice Training (Test, Set-Up, configure, and monitor a network according to specific requirements using CISCO packet tracer & Wireshark)

Internship Training

Larsen & Toubro Limited
Mysore
06.2019 - 07.2019
  • Trainee in Design & Development team for Electric Meters.
  • Worked on PCB component assembly for electric meters.
  • Understanding the use of different components in electric meters

Education

Bachelors of Engineering - Electronics & Communication Engineering

City University of Hong Kong
Hong Kong S.A.R
09.2018 - 05.2022

Skills

Multitasking Abilities

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Projects

1. Real-Time object detection & recognition for visually impaired enhanced by haptic feedback (Sep 2021 - Apr 2022)

• Made a working Bluetooth hardware device that includes a haptic feedback motor (software using MicroPython) and a 3D camera, which are controlled by a computer running the Mask R-CNN model for Object Recognition and Detection.
• Developed an
Algorithm to detect where the object is placed, thus giving a Sense of Direction to the end user


2. Noise cancelling functionality using FFT (Sep 2020 - Dec 2020)

Successfully made a working code using Jupyter Notebook for Reducing Background noise or AWGN from a given audio sample using FFT

Timeline

IoT Engineer

Neoma Limited
08.2022 - Current

Engineer Trainee

Smart Mobility Co. Ltd
06.2021 - 07.2022

Engineering Training

City University Of Hong Kong
06.2020 - 08.2020

Internship Training

Larsen & Toubro Limited
06.2019 - 07.2019

Bachelors of Engineering - Electronics & Communication Engineering

City University of Hong Kong
09.2018 - 05.2022
Lohit SachdevIoT Engineer