• Designed and implemented the IronNet Sensor CI-CD process porting and components from CentOs 7 to Rocky Linux 9.• Redesigned and standardized ISO and install-build process to use industry-standard Lorax, mkksiso, and kickstart. Unified all deployment types to use process.• Developed and integrated automated subsystem tests for all customer path journeys.

• Owned design and implemented Initial deployment of our Network Sensor. Analyzed and selected technologies for the network traffic ingested components (sensor) of a cloud-based threat analysis detection and response system.• Selected and integrated AWS IoT Greengrass technologies into the sensor. Utilized AWS-provided Streaming manager component to integrate best-in-class streaming events to the AWS-hosted backend alerting engine. Utilized other AWS Greengrass components to speed integration of service discovery, identity management, credential management, component image management, and configuration management. • Integrated open-source Suricata and Zeek components for container deployments using Linux system services, Podman, and AWS ECR for container image serving.• Developed CI-CD for custom and open-source components of the network sensor. Developed online easy-to-use sensor installation utilizing AWS S3 buckets configured as static web server for bootstrap installation.• Designed a Zeek-based extracted file malware detection pipeline using ClamAv, Yara, and Thor. • Investigated Nvidia DPU integrations for very high-speed network analysis. Selected aarch64-based processor servers and containerization of component images to minimize differences in development between server-based and DPU-based deployment.

Senior Developer IronNet Sensor Owned porting of custom modifications (in C and Rust code) from Suricata 5 to Suricata 7. Delivered customer deployable AWS sensor utilizing CloudFormation templates deploying lambda functions dynamically deploying traffic mirror resources. Enhanced product security by incorporating a private endpoint to access S3 buckets. Expanded market reach with Azure sensor utilizing Azure-specific resources incorporating a 3rd party network traffic mirror. Spearheaded auto upgrade and auto commissioning features, ensuring end-to-end functionality. Auto-upgrade design and implementation included provisioning an S3 bucket web server with lambda edge and Cognito for authentication deployed using Terraform. Modified build process to transfer build-artifacts to the bucket. Enhanced sensor to update and apply yum repo configuration dynamically. Auto-commissioning feature design and implementation included AWS resources deployed with Terraform, including CloudFront, with three origins and behaviors, a public and private API gateway, lambda functions (in JavaScript with heavy use of await async), and Cognito for signed URLs. Optimized multi-deployment (AWS, Azure, ESXI, and bare metal) build process utilizing TeamCity, Docker, Ansible, Packer, Make, Python, AWS SDK, and bash. Enabled solution-level features by providing enhanced metadata for several network protocols using Suricata and custom C++ application. Enhanced networking traffic solution testing with IXIA and teamed with the vendor to correct traffic super flow.

Owned infrastructure as code (IaC) as a senior member of the platform team for the new Cisco Collaboration Cloud SaaS product. Optimized the continuous delivery pipeline while ensuring readiness for market, horizonal scalability, and high availability failover.• Leveraged Azure Cloud and Kubernetes training to add value to the platform as a service (PaaS) development team charged with capitalizing on the market trend toward cloud-based collaboration. • Developed IaC for the open source Nginx ingress controller and Jetstack certificate manager.• Delivered a well-received customer cloud solution that expanded Cisco’s total addressable market (product paused due to a Covid-19-related market shift).

Employed artificial intelligence (AI) and machine learning to enhance the Cisco IM and Presence product. Executed the design, implementation, and demonstration of various language models (bag of words, LSTM, BERT). Developed a streamed audio pipeline product that enabled productized code while adding low-risk language translation and conversation summarization functionality.• Coded and tested an audio capture and transcript creation service for softphones, paving the way for new for-charge services and the transition of customers to recurring revenue models.• Built a next word prediction model that achieved a 25% success rate when trained on a single user.• Developed a transcript generator web service for softphones using the phone’s built-in bridge, recording device emulation, and Google’s remote procedure call (gRPC) system.• Created infrastructure that reduced the risk involved in future development of deep learning-enabled services.

Partnered with the Technical Marketing Engineer (TME) to update the Cisco Unified Communication Manager (UCM) scalability model, producing a best-in-class configuration and monitoring experience that enabled a successful move into the headset market.• Added Json column types to the existing communication manager database, allowing independent release cycles and maintaining existing functionality.• Improved short-term marginal scale by 25%.• Reduced operational complexity for the customer by introducing the option to increase user density during deployment.• Empowered customers to achieve simpler deployments at a greater scale without significant investment in new development (particularly impactful post Covid-19).

Deployed to increase the speed and reliability of UCM and IM&P customer upgrades, partnering with product marketing, architects, and executive leadership to create a phased, multi-release approach. Uncovered unexpected root causes for complexity and slowness, designed phased enhancements that provided customer value at each step, and guided three scrum teams in achieving the fastest possible delivery. • Reduced large cluster upgrade time from 18 hours to just 7 under ideal conditions (larger relative impact in non-ideal conditions), the difference needed by many customers to fit within maintenance windows.• Addressed the number one customer complaint (complexity and duration of cluster upgrades) while delivering incremental value to stakeholders at each phase of development, opening the door to future market share growth.• Cut customer upgrade interactions from 56 to under 2, leading to higher satisfaction and de-risking future enhancements.

Technical leader of the IM&P database; leader and mentor for the offshore (India) Infosys development and support team (influencing 6 to 12 engineers); member of the UCM database team; technical owner of the Cisco TFTP.

Firmware development for PBX customer devices.

Government PBX Development,PCB board development.PGA development