Anup Bhandari Email and Phone Number

1. Led a team of 5 engineers across India, US and Ukraine, working on automation and testing of video conferencing backend and WebRTC front end.2. Led the initiative of Quality Improvement Program, driven by data analytics fed by customer feedback and media stats logged by the BlueJeans backend. The bug fixes have shown a 20% reduction in customer complaints.3. Worked closely with Program management, Devops and product management teams to manage releases.4. Calculation and publishing of engineering metrics across all dev and QA teams, using the Jira-Python integration.

1. Led the team in building two new distributed systems of backend media architecture that were built with Kubernetes deployments (EKS) on AWS cloud. Worked on the flow of audio, video, screen share and their quality in meetings served by the new backend.2. Migrated python scripts in the framework for a network simulation tool, from using its CLI to its REST APIs.3. Mentored and oversaw the QA and automation efforts for Multi-Access Edge Computing (MEC) - Moving video network resiliency mechanism (RTP retransmission) to nearest edge servers, to provide more efficient resilience towards disturbances in the wireless network.4. Enhanced the meeting automation framework by including health checks for the gateway layer, using a python client. This avoided user impact when nodes turned faulty.5. Designed the strategy to handle video quality while scaling our service to support the exponential increase in usage during the pandemic.6. Data analysis: Used SQL queries to fetch data for users’ quality of experience from Redshift database, and developed python scripts to analyze the data. Worked with the data analytics team in designing dashboards on Tableau, to track the same.

-Program management: Spearheaded the WebRTC client SDK product across microservices teams in different geographies to coordinate the releases and the intermediate milestones. - Designed and automated benchmark tests using the Java based framework, for a feature to achieve high frame rates and high resolution for video and presentation. - Tested the client SDK support for Web proxies such as BlueCoat and Zscaler, with NTLM and Kerberos authentication. - Built a CI/CD pipeline for the client SDK on Jenkins, which would trigger tests written in the Java framework integrated with Cucumber BDD. This removed the dependency on the QA team to validate new builds. - Performed competitive analysis of video conferencing quality and worked on a white paper for support and marketing teams, providing a comprehensive guide on the BlueJeans product’s edge over competitors. - Developed an automation tool to enhance the framework for validation of capacity expansion in AWS - Developed python scripts using pyexpect, to validate new server nodes getting added, and integrated these scripts with Jenkins.

- Implemented an automation framework using python ctypes to develop a wrapper around Windows dynamic link library and used the tool to automate validation of APIs in the dll for the BlueJeans windows application. - Developed scripts in Python, to measure efficiency of RTX at the packet level and for CPU profiling. - Generated PowerShell scripts for a CI/CD pipeline on Jenkins, to create builds and trigger regression tests. - Built a tool to capture crash dumps in the windows environment. - Worked on features such as faster call connection using TURN servers, optimization of CPU consumption, video quality improvements with the use of RTP retransmission (RTX) and bandwidth management. - Clients tested: Desktop applications across different operating systems and video conferencing room systems (Cisco Tandberg, Polycom) - Audio evaluation: Extensive testing of third-party vendor solutions that offered noise suppression, echo suppression and enhanced voice quality. Made use of metrics such as PESQ, VISQOL and MOS. - Debugged issues reported from the field by extracting and analyzing user data, using tools such as Sumo Logic, Mixpanel and New Relic.

- Video support on the SBC (Session Border Controller): Automated different types of SDP (Session Description Protocol) and SIP call flows for video codecs and video calls, using Perl, shell scripting and other tools like SIPp. - BFCP (Binary Floor Control Protocol) for SIP Video based content sharing. - Features based on NAT (Network Address Translation), call routing and High Availability (HA) systems - Testing tools: Scripting using SIPp, Spectra, Navtel, Softphones like Lifesize, Polycom, Radvision