MOHAMMED SHOAIB

New Delhi

Summary

Dedicated and detail-oriented engineer with solid experience in embedded systems programming and the integration of advanced machine learning solutions. Known for a hands-on approach to problem-solving and a strong foundation in electronics and system design.
Passionate about avionics and deeply interested in exploring AI and next-generation technologies. Committed to driving innovation in aerospace and electronics through practical experience, continuous learning, and a forward-thinking mindset.

Overview

years of professional experience

Certification

Work History

Junior Project Engineer

Vektas Technologies PVT LTD

New Delhi

06.2023 - Current

Designed drone motors, including PID tuning, and controlled drones using Python with DroneKit.
Developed circuit designs using EasyEDA, conducted drop test on drones, and performed aerodynamic tests using a Vertical Fan Array.
Innovated and designed a drone swarm for multiple projects, enabling autonomous flying with a leader drone.

Internship Trainee

National Wind Tunnel Facility - IIT Kanpur

Kanpur

05.2022 - 07.2022

Designed and implemented an ESP32-based pressure scanner for real-time wind tunnel testing, integrating multiplexer systems for multi-sensor data acquisition.
Developed high-speed data acquisition (DAQ) algorithms to collect 500 samples/sec, optimizing sensor communication with TTL to CMOS logic conversion.
Configured and programmed a Raspberry Pi-based control system for sensor calibration, external triggering, and automated data processing to enhance measurement accuracy.

Education

Bachelor of Engineering Technology -

Electronics nad communictaion

05-2024

Higher Secondary -

BHSS Neyytainkara

01.2020

Skills

C and Embedded C
Python programming
Pymavlink integration
STM32 development
KiCad PCB design
AutoCAD

LabVIEW automation
Matlab Simulink modeling
SOLIDWORKS 3D modeling
Ardupilot
EasyEDA
Excel data analysis

Certification

Geoprocessing using Python, Indian Institute of Remote Sensing, Dehradun, 2020
Machine learning to Deep Learning: remote sensing data classification, Indian Institute of Remote Sensing, Dehradun, 2021
Drone Programming with Python - Face Recognition and Tracking, Udemy, 2025

Projects

Swarm technology, 07/23, present

Developed a swarm of 12 drones using both ESP8266 and Raspberry Pi, with software architecture designed using DroneKit in Python, achieved Wi-Fi communication over a distance of 10 km using a directional parabolic antenna, and implemented and optimized the system for real-time coordination and communication among drones using the MQTT protocol

Crack detection using UAV, 05/23, 06/24

Utilized image processing techniques to enhance the visibility of cracks, ensuring precise detection and classification of crack severity, integrated the UAV system with real-time data processing capabilities, enabling immediate assessment of structural integrity for safety purposes
Designed the entire circuit using EasyEDA software, then reviewed and tested it to meet industrial standards

ESP32-based pressure scanner for wind tunnel testing, 05/22, 07/22

Developed an ESP32-based pressure scanner with multiplexer integration for wind tunnel data acquisition, implemented real-time data acquisition (DAQ) at 500 samples per second, including TTL to CMOS logic conversion for sensor addressing
Designed and configured a Raspberry Pi-based control system for sensor calibration, external triggering, and data processing

Timeline