Networking Protocols: TCP/IP, DNS, DHCP, BGP, OSPF, VLANs, VPNs
Tools & Platforms: Cisco IOS, Wireshark, GNS3, Packet Tracer, SolarWinds, PRTG
Cloud Networking: AWS VPC, Azure Networking, SD-WAN
Cybersecurity: Firewalls (eg, Palo Alto, Fortinet), IDS/IPS, Penetration Testing
Operating Systems: Windows Server, Linux (Ubuntu, CentOS)
Secure Remote Desktop Application:
Description: Developed a secure remote desktop application enabling encrypted remote access to computers. Implemented authentication, session management, and end-to-end encryption to ensure secure connections.
Tech Stack: Python.
Security Features: AES/RSA encryption, multi-factor authentication (MFA), TLS-based communication.
Networking: Implemented custom socket programming and NAT traversal.
Impact: Enhanced remote access security for internal IT teams, reducing unauthorized access risks.
- Developed a secure remote desktop solution with encrypted communication and access control.
- Designed and implemented end-to-end encryption using OpenSSL.
- Integrated multi-factor authentication (MFA) to strengthen security.
- Improved network performance by optimizing data compression and screen-sharing protocols.
Skills:
Programming: Python.
Networking: TCP/IP, WebRTC, NAT Traversal.
Security: AES/RSA Encryption, OpenSSL, TLS, MFA.
Anti sleep glasses for drivers:
Description: Designed smart glasses that detect driver fatigue using eye-tracking and alert systems, helping prevent accidents caused by drowsiness.
Tech Stack: Embedded C, Python, Arduino, Raspberry Pi, OpenCV
Sensors & Hardware: IR sensors, EEG sensors, Accelerometer, Bluetooth module.
Features: Real-time eye-tracking, blink detection, and head movement analysis.
Alert Mechanism: Sound and vibration alerts triggered when drowsiness is detected.
Impact:Improved driver safety by providing real-time fatigue detection and alert.
- Developed an AI-powered drowsiness detection system for drivers using OpenCV and IR sensors.
- Designed and implemented real-time alert mechanisms (buzzer & vibration) for immediate driver response.
- Optimized power consumption for extended battery life using efficient hardware design.
- Conducted user testing to improve detection accuracy and response time.
Skills:
Programming: Embedded C, Python.
Hardware & IoT: Arduino, Raspberry Pi, IR sensors, EEG sensors.
Machine Learning & Image Processing: OpenCV, Eye-tracking algorithms.
Embedded Systems & Communication: Bluetooth, Power Management.