Satish Rajan

• Designed a portion of Tesla’s global edge load balancing architecture by collaborating with several infrastructure teams (Public/Private and Factory services with BGP/Anycast design), configuration management using IAC/CAC, logging using F5/BIG-IP/BIG-IQ devices (LTM>M) • Designed, configure, analyze Tesla’s Global API gateway architecture using Envoy/Kubernetes and Akamai API gateway • Design and manage CDN services www.tesla.com & www.tesla.cn • Design and manage application security services using WAF/DDoS/Bot protection modules on Akamai and Tesla Datacenter edge • Enhanced observability design using Kentik, Catchpoint in Tesla network and factories on HTTP, TLS/SSL, BGP, TCP and DNS services

• Design, configure, analyze HTTP content delivery for www.tesla.com & www.tesla.cn on Akamai and Varnish platforms • Design content delivery strategies for vehicle firmware updates/upgrades in Tesla factories and public internet • Manage internal and external DNS platforms for Tesla in US, Global and China • Design observability methods and metrics on HTTP, TCP, TLS/SSL and DNS in Splunk

• Analyze HTTP object delivery, video quality and streaming/playback performance for linear and on-demand delivery methods • Perform correlational analysis CDN server and TCP data against external performance data (provided by testing probes such as Cedexis, Gomez, Catchpoint, Conviva and Keynote) to optimize and improve performance by providing recommendations to tune web caching software • Develop A/B testing methodologies to quantify variations in performances of code releases on caching nodes and its influence on streaming behavior on several devices • Quantitative research involving designing metrics to quantify performance and thereby develop processes, methodologies, training and alarming to address QoS degradation • Perform DNS localization analysis, suggest optimizations for CDN and IP traffic load balancing • Improving traffic flow (and path) to avoid congestion and reduce RTT based on BGP attributes by coordinating with several Peers/ISP’s in North America, Europe and South America • Deeply involved in cross functional projects, processes and recommending best technical practices/plans between IP/CDN-planning, IP-peering/transit, IP-backbone, IP/CDN-operations for optimizing operational capacity utilization and ensuring best performance for end-to-end content delivery • Forecasting capacity planning estimates for projects on CDN and High Speed Internet Protocol (HSIP) services and develop strategic technical deployment plans in new markets by modelling traffic growth using parametric and non-parametric statistical techniques using Netflow data • Performing ETL on large structured and unstructured data sets in Apache Spark, parsing metadata in JSON format using Python and inserting/updating data using RESTful API services • Apply machine learning techniques on internal and telemetric data (from several streaming devices) to help prioritize scale and scope of performance improvement tasks

-Content Delivery Network (CDN) configuration, optimization, troubleshooting for regular web caching and Secure socket layer (SSL) services, video/media (Live and On Demand) adaptive bitrate streaming services such as Apple HTTP Live Streaming (HLS), Adobe HTTP Dynamic Streaming (HDS), Microsoft HTTP Smooth Streaming (HSS), Adobe Real Time Media Protocol (RTMP) with MPEG-4 AVC (Advanced video coding) or H.264/AAC video formats based on HTTP/HTTPS requirements -Using parametric and nonparametric statistical analysis (R statistical computation software) on data consumed from web caching systems to visualize and identify trends in global HTTP traffic, response time, availability -Perform time series analysis on HTTP delivery/latency times by the CDN and thereby optimize and improve performance by tuning the web caching software configurations -Implement descriptive statistical techniques to observe and understand behavior of HTTP media/video objects requested by various client web-players to improve/optimize CDN/Proxy fill and client delivery traffic -Perform extreme outlier and correlational analysis using descriptive statistical methods to determine server issues, predict hard disk drive failure in relation to streaming/buffering issues -Consume large data sets from server logs (Apache and Nginx), relational and non-relational databases -Write Request for Outage (RFO) to customers who experience outages on the CDN when required -Serve as a cross functional team member by interacting with the customer, account directors, sales engineers, solutions architects and engineering teams to discuss and analyze customer requirements

-Monitored network capacity, web caching efficiency, response times (for ex: using curl), data mining on HTTP errors, traffic patterns and external network testing/monitoring performance data on high profile customers -Linux system administrator, server maintenance/repair, deployments, builds and upgrades -Monitoring/Troubleshooting alarms and ticketing in platforms like FMS 3.5/4.5 (troubleshooting using rtmpdump), Adaptive streaming origin servers, SSL, PCI, Transcoding/Transmuxing, DNS, Windows Media Servers (WMS), Lustre and GPFS file system -Debugged TCP connectivity issues using tcpdump, Wireshark -Coordinated with customers and resolved content delivery and streaming issues (HLS, HDS & HSS) -Disaster event management, coordinating with higher tier teams in resolving critical issues such as customer ingests and content propagation issues -Analyzed server alarms counts and trends globally

- Studied the CDN infrastructure and applications - Understood different types of web streaming technologies and how they are incorporated into the CDN - Server troubleshooting, repairs and monitor network inventory - Coordinated repairs and assisting RMA process with hardware vendors - Directed and advised data center fields technicians in server hardware troubleshooting using a ticketing system

A Tutor for undergraduates in Applied Mathematics - Pre-Calculus for Engineers (APPM 1235) - Calculus one with Algebra (APPM 1340)

Adviser: Professor Frank S. Barnes - Analyzed the Demand Response market structure in Colorado - Studied various Energy Efficiency methods and programs - Understood the significance of electricity transmission losses and the need for an effective load forecasting

- Studied various satellite imaging systems on natural mineral availability - Understand data transmissions from satellites to remote sensing stations - Understood different types of Satellite Launch Vehicles (SLV's) and their purposes