Srishti Saha

Technical Support and Problem Resolution:

• Leads technical support and troubleshooting for critical AWS services, including ALB, CloudWatch, ASG, and Global Accelerator.
• Serves as a CloudWatch Subject Matter Expert (SME) in progress, providing deep technical guidance and best practices.
• Manages complex customer issues through thorough investigation, root cause analysis, and solution implementation.
• Maintains high customer satisfaction while handling complex technical escalations.

Infrastructure and Operations:

• Functions as the CloudWatch Support Owner, managing incident response, and implementing monitoring best practices.
• Collaborates with service teams to improve service reliability and customer experience.
• Participates in on-call rotations for critical infrastructure support and incident management.
• Leadership & Knowledge Sharing:
• Trains and onboards new support engineers on AWS services, troubleshooting methodologies, and operational procedures.
• Creates comprehensive technical documentation for common issues and resolution paths.
• Leads knowledge transfer sessions for complex AWS services and use cases.
• Drives continuous improvement initiatives for support processes and procedures.
• Provided technical support for cloud services to enhance customer satisfaction.
• Troubleshot and resolved complex issues in AWS infrastructure environments.
• Collaborated with engineering teams to improve cloud service performance.
• Documented support processes and created knowledge base articles for users.
• Guided customers through cloud deployment best practices and configurations.

• Topic: Performance evaluation of a leader-follower mobility model of swarms of UAVs.
• Implemented a distributed multi-leader follower mobility model for UAV swarms using OOP in Python.
• Developed a TDMA-based, collision-free shared media access protocol.
• Evaluated performance metrics, including scalability, connected components, and average arrival time.
• Assisted in designing and implementing experiments for network performance evaluation.

• Guided students in MATLAB coding for JPEG Image and MPEG Video Compression.
• Evaluated student performance on coding assignments.

• Installed, configured, and trouble-shot approximately 100 NCR ATM machines.
• Remotely monitored and provided preventive management support for over 1500 machines.
• Reduced troubleshooting calls through proactive monitoring, improving profit margins and customer satisfaction.