Who am I?
Senior Software Development Engineer with nearly 10 years of experience designing and scaling high-throughput backend microservices, enterprise telemetry platforms, and automated data mediation systems.
At F5, I lead core backend services responsible for telemetry processing, data mediation, and licensing across a portfolio of 250+ enterprise products. My expertise spans backend architectures and also front-end, dynamic business rules engines, distributed data storage (Cosmos DB, Snowflake), enterprise product migrations, and platform reliability. Recently, I have been pioneering Agentic AI workflows and intelligent automation to accelerate software delivery and optimize engineering operations.
Core Technologies:
- TypeScript, Node.js, Python, REST APIs, Microservices
- Telemetry & Data: Data Ingestion, Mediation Pipelines, Business Rules Engines, Cosmos DB, Snowflake Data Lake
- Cloud & DevOps: GitLab, Azure DevOps, Docker, Kubernetes, CI/CD
- AI & Automation: Agentic AI, LLMs (Ollama, ComfyUI, n8n), Workflow Automation, Prompt Engineering
- Methodologies: Agile, Scrum, Technical Mentorship, Code Reviews, Distributed Systems
Experiences
Lead design and development of core telemetry processing, usage mediation, and licensing microservices supporting F5’s global software ecosystem.
Key Contributions:
- Designed and scaled high-concurrency SAAS and REST APIs to handle enterprise telemetry processing and usage data mediation.
- Engineered an extensible business rules engine and post-processing transformation framework to dynamically enforce licensing policies, usage exclusions, and feature attribution across millions of records.
- Executed Go-To-Market portfolio migrations across 250+ enterprise product SKUs and adapted core pipelines to align with next-generation billing/ordering platforms, ensuring zero revenue or service disruption.
- Spearheaded major telemetry infrastructure upgrades, including data lake repository integrations (Cosmos DB to Snowflake), pipeline modernization, and a resilient Disaster Recovery (DR) architecture.
- Built real-time data visibility frameworks and executive operational dashboards for license fulfillment and usage analytics, enabling data-driven decision-making across leadership teams.
- Integrated Agentic AI workflows into daily engineering practices, streamlining documentation, test generation, and operational workflows to boost velocity.
- Led CI/CD modernization by driving the team’s GitLab migration, optimizing build pipelines, and implementing automated validation checks.
- Provided technical mentorship, guided onboarding for new engineers, conducted container architecture ramp-ups, and led cross-functional troubleshooting across Agile teams.
Technologies:
- TypeScript • Node.js
- Telemetry Ingestion & Data Mediation
- Business Rules Engines • Microservices
- Cosmos DB • Snowflake Data Lake
- GitLab • Azure DevOps • GCP
- Agentic AI & Workflow Automation
Developed and maintained automated solutions for enterprise applications while working closely with software engineers in an Agile environment.
Key Contributions:
- Designed and maintained automated test and code suites integrated into CI/CD pipelines using Mocha and NUnit.
- Expanded test automation coverage for backend microservices and API endpoints, significantly reducing manual QA overhead.
- Contributed to backend feature development for telemetry and licensing services.
- Improved developer workflows by enforcing automated testing standards and CI/CD enhancements.
- Participated actively in sprint planning, technical backlog refinement, and architectural design reviews.
Technologies:
- TypeScript
- NUnit
- Mocha
- Azure DevOps
- CI/CD
Developed automation solutions supporting large-scale validation infrastructure spanning multiple sites and thousands of compute nodes.
Key Contributions:
- Automated validation workflows using Python, C#, Bash, Jenkins, and Ansible.
- Supported Kubernetes and containerized infrastructure using Docker and Containerd.
- Built internal tools that improved engineering productivity and reduced manual operational effort.
- Administered Power BI Report Server and developed operational status dashboards.
- Contributed to TDD practices, pair programming, and continuous improvement initiatives.
Technologies:
- Python
- C#
- Jenkins
- Ansible
- Docker
- Kubernetes
- Bash
- Power BI