Vikas Madhale

Goa

Summary

Detail-oriented BCA graduate with experience in web development using Python, HTML, CSS, and JavaScript. Completed an apprenticeship at IIT Goa, gaining hands-on skills in system administration, networking, hardware troubleshooting, and IT support. Strong foundation in Windows, Linux, and technical problem-solving positions for a successful career in the IT industry.

Overview

Languages

2027

years of professional experience

Work History

Apprentice- IIT Goa

2026 - Current

Managed computer laboratories, overseeing OS installation, dual-boot configuration, user account creation, and system administration on Windows and Linux platforms to ensure operational efficiency.
Configured and maintained LAN infrastructure, Wi-Fi networks, switches, routers, and network printers.
Diagnosed and resolved hardware, software, and network issues, enhancing functionality across laboratories and departmental facilities.
Configured and maintained LAN infrastructure, Wi-Fi networks, switches, routers, and network printers to support seamless connectivity and accessibility.
Assisted faculty and students with hardware, software, and network-related technical support.
Demonstrated eagerness to learn by asking questions and seeking clarification when necessary.

Education

- Bachelor of Computer Application (BCA)

Goa Multi-Faculty College

Dharbandora, Goa

04.2001 -

Commerce

ChandraBhaga Tukoba Naik(CTN)

Curchorem Goa

Skills

Programming:

Python, Java ,HTML,CSS

Technical skills:

Windows Administration and Linux Administration,Computer Hardware Troubleshooting, Network Troubleshooting, Hardware & Software Maintenance,

Problem-solving

Work prioritization

Teamwork and collaboration

Additional Information

NexVision – Smart Glasses for the Visually Impaired Developed an AI-powered wearable device to assist visually impaired individuals by detecting nearby objects using computer vision and providing real-time voice feedback.The system integrates a Raspberry Pi, camera, sensors, and Python-based object detection models.

- Face Detection Project

Worked on AI-based face detection and recognition using Python and YOLO.
Tested models, processed image data, and improved detection performance.

Worked with Python, OpenCV, and basic object detection techniques using tools like MediaPipe.

Gained understanding of hardware-software integration and system design. Improved my teamwork, basic problem-solving, and project execution skills. Learned to handle real-time feedback systems using embedded hardware.

Timeline