I'm a Network Engineer at Capgemini, currently working in Cisco TAC and supporting enterprise network environments. I enjoy solving networking challenges, building hands-on enterprise and data center labs, and continuously expanding my expertise in infrastructure monitoring, Linux, Docker, and Python-based network automation. This GitHub profile showcases the projects I build to strengthen my practical skills and document my learning journey.

BITS Pilani – Work Integrated Learning Programme (WILP)

• CGPA: 9/10

• Pursuing a Master's degree while working as a Network Engineer.

• Focus areas include Cloud Computing, Distributed Systems, Virtualization, and Network Technologies.

Amity University, Gurugram

• CGPA: 8.68/10
• Awarded the Bronze Medal for securing 3rd Position Overall in the B.Tech CSE program.
• Minor specialization in Computer Forensics & Cyber Security.
• Published a white paper titled "Importance of Website Usability in Digital Marketing" (June 2023).
• Completed multiple academic and practical projects in networking, cybersecurity, Python, and web technologies.

Capgemini
December 2024 – Present

Supporting enterprise customers by troubleshooting and resolving Cisco networking issues.

Key Responsibilities

• Troubleshoot Layer 2 and Layer 3 networking issues across enterprise customer environments.
• Analyze network outages, intermittent connectivity issues, packet forwarding problems, and switching-related incidents.
• Perform systematic troubleshooting using Cisco IOS CLI and industry-standard diagnostic methodologies.
• Validate network health using routing tables, interface statistics, MAC address tables, ARP tables, VLAN information, and spanning-tree details.
• Restore network functionality while minimizing customer downtime.

Provide technical support and troubleshooting for:

• Cisco Catalyst Switches
• VLAN Configuration & Segmentation
• IEEE 802.1Q Trunking
• Inter-VLAN Routing
• Spanning Tree Protocol (STP)
• Rapid Spanning Tree Protocol (RSTP)
• EtherChannel
• Port-Channel Configuration
• Port Security
• Layer 2 Switching
• Interface Configuration
• MAC Address Learning
• Switch Management

• Investigate recurring customer issues to determine the underlying cause.
• Analyze command outputs, logs, and network behavior.
• Document technical findings and recommend corrective actions.
• Verify issue resolution before case closure.

• Work directly with enterprise customers to understand reported network issues.
• Collect and analyze diagnostic information required for troubleshooting.
• Provide timely updates throughout the support lifecycle.
• Maintain high-quality technical documentation for every customer case.
• Ensure adherence to Cisco TAC troubleshooting methodologies and service processes.

• Collaborate with senior engineers and global Cisco TAC teams to resolve complex networking issues.
• Participate in technical discussions and knowledge sharing.
• Escalate critical issues when necessary while ensuring effective communication between stakeholders.

• Document troubleshooting procedures and configuration observations.
• Record verification steps and issue resolution details.
• Create clear and structured technical documentation to support future troubleshooting and knowledge sharing.

• Enterprise Networking
• Network Troubleshooting
• Cisco TAC Support
• Routing & Switching
• Layer 2 & Layer 3 Technologies
• Data Center Networking
• Infrastructure Monitoring
• Linux Administration
• Network Automation (Learning)
• Technical Documentation
• Root Cause Analysis (RCA)
• Incident Management
• Direct Client Interaction
• Technical Consulting
• Cross-Functional Collaboration
• AI-Assisted Engineering

Artificial Intelligence tools were used to improve productivity and learning throughout this project.

AI-assisted tasks included:

• Understanding networking concepts
• Troubleshooting Linux and Docker issues
• Reviewing configurations
• Improving technical documentation
• Organizing repository structure
• Writing Markdown documentation
• Learning best practices for infrastructure monitoring

AI Tools Used

• ChatGPT (OpenAI)
• Claude AI (Anthropic)

Note: All network design, configurations, implementation, testing, troubleshooting, and validation were performed manually. AI was used as a learning and documentation assistant.

Designed and implemented a multi-site enterprise network using Cisco Packet Tracer.

Repository:
https://github.com/Heemakshi-Sharma/enterprise-network-design

Designed a modern Spine-Leaf Data Center topology while studying VXLAN concepts and scalable network architectures.

Repository:
https://github.com/Heemakshi-Sharma/data-center-vxlan-spine-leaf

Built an infrastructure monitoring platform using Ubuntu, Docker, Prometheus, and Grafana.

Repository:
https://github.com/Heemakshi-Sharma/infrastructure-monitoring-prometheus-grafana

• Enterprise Network Design
• Cisco LAN Switching
• Data Center Networking (Spine-Leaf & VXLAN Concepts)
• Infrastructure Monitoring with Prometheus & Grafana
• Python Network Automation
• Linux Administration

• Build production-ready network automation tools.
• Deepen expertise in enterprise and data center networking.
• Learn cloud networking technologies.
• Contribute to open-source networking projects.

• LinkedIn: www.linkedin.com/in/heemakshi-sharma
• GitHub: https://github.com/Heemakshi-Sharma
• Email: Heemakshisharma03@gmail.com