
Technical Support professional with 3 year of experience providing L1/L2 support for applications, systems, and end users in enterprise environments. Skilled in incident management, troubleshooting, basic networking concepts, Linux fundamentals, and customer support. Experienced in working with ticketing systems, SLAs, and escalation procedures. Actively seeking Technical Support, Network Support, IT Support, Service Desk, or NOC roles.
Provide L1/L2 technical and application support to enterprise clients
Monitor system and application alerts and resolve incidents within SLA
Perform log analysis, issue triage, and root cause identification
Coordinate with network, infrastructure, and development teams for resolution
Document known issues, workarounds, and SOPs
Provided end-to-end technical support for Adobe products, resolving software, installation, performance, and licensing issues.
Diagnosed and resolved application crashes, configuration errors, and system compatibility issues.
Delivered real-time troubleshooting via calls and chats for international customers, maintaining high CSAT scores.
Documented solutions and escalated complex issues following SLA and ITIL-based workflows.
Collaborated with internal teams to ensure timely resolution and customer satisfaction.
Supported clients on AWS, Azure, and Microsoft 365 environments.
Assisted customers with cloud onboarding, access management, and service configurations.
Delivered high-quality service and received positive client feedback.
Worked closely with multiple teams to ensure effective communication and issue resolution.
Gained hands-on exposure to cloud operations and enterprise IT support.
Application & Production Support (L1/L2)
Incident, Problem & Change Management
ServiceNow Ticketing & SLA Management
Technical Troubleshooting & Root Cause Analysis
Windows OS Administration
Linux Fundamentals (CLI, file system, permissions)
Networking Basics (DNS, TCP/IP, HTTP/HTTPS)
SQL (Basic SELECT, WHERE, JOIN concepts)
AWS Fundamentals (EC2, S3, IAM, Cloud Basics)
Monitoring & Alert Handling
Documentation, SOP & Knowledge Base Creation
Facial Expression Recognition System | Lucknow
01/2022 – 04/2022
Built a facial expression recognition system using computer vision and deep learning.
Detected and classified emotions from images and video streams.
Tech Stack: Deep Learning, OpenCV, TensorFlow
Rent-Le (Web Application) | Lucknow
01/2021 – 04/2021
Developed a web platform enabling college students to rent essential items from seniors.
Designed a user-friendly and responsive interface.
Assisted users throughout the rental and exchange process.
Tech Stack: Node.js, Express.js, MongoDB, React.js