Summary
Overview
Work History
Education
Skills
Affiliations
Timeline
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Wahaj Mohammed

Houston

Summary

Results-driven Electrical and Instrumentation Engineering graduate with hands-on experience as a Digital Support Associate at Amazon Development Centre India, specializing in Amazon smart devices and connected technologies. Skilled in technical troubleshooting, system diagnostics, and electrical systems analysis, with a strong focus on performance optimization and reliability. Known for resolving complex device-level issues, enhancing user experience, and collaborating effectively in high-paced, team-driven environments. Committed to applying core engineering principles and innovative problem-solving to deliver robust solutions in the field of electrical engineering.

Overview

1
1
year of professional experience

Work History

Digital Devices And Alexa Support

Amazon Development Centre India Pvt Ltd
Hyderabad
09.2022 - 01.2024
  • Digital Support Associate at Amazon Development Centre India, specializing in Amazon smart devices and online gaming platforms. Recognized for strong analytical and problem-solving skills, with a proven ability to troubleshoot technical issues, guide users effectively, and ensure seamless user experiences. Thrive in fast-paced environments, quickly adapting to new challenges while promoting teamwork, knowledge sharing, and continuous improvement.

Education

Master of Engineering Management - Management Science And Engineering

Trine University
Angola, IN
04-2026

Electronics And Instrumentation Engineering -

Muffakham Jah College Of Engineering
Hyderabad, India
09-2022

Skills

  • Project management
  • Machine learning
  • Customer relations
  • Problem resolution
  • Technical troubleshooting
  • Team collaboration
  • Python

Affiliations

Major Project: Automatic Number Plate Recognition System
Team Leader | Final Year Undergraduate Project

Led a team of three in the successful development of an Automatic Number Plate Recognition (ANPR) system, designed to detect and extract vehicle license plate numbers from real-time images for smart surveillance and traffic automation.

  • Tools & Technologies Used:
    Programming:
    Python
    Libraries/Frameworks: OpenCV, Tesseract OCR
    Hardware: HD Camera module
    Development Environment: Jupyter Notebook / VS Code (whichever you used)
    Image Processing: Edge detection, character segmentation, and morphological filtering
  • Key Responsibilities:
    Directed the full lifecycle of the project—from research, design, and development to testing and final presentation.
    Implemented number plate detection using contour and edge-based algorithms; integrated Tesseract for OCR-based text extraction.
    Managed team collaboration, task delegation, progress tracking, and final documentation/reporting.
  • Project Outcome:
    Achieved 90%+ recognition accuracy under controlled conditions.
    Commended by faculty for its practical application in intelligent transportation systems.

Timeline

Digital Devices And Alexa Support

Amazon Development Centre India Pvt Ltd
09.2022 - 01.2024

Master of Engineering Management - Management Science And Engineering

Trine University

Electronics And Instrumentation Engineering -

Muffakham Jah College Of Engineering