Designing and developing secure, reliable, and scalable distributed systems.
Driven by automation, smart architecture, and meaningful impact. Always exploring new challenges and making things simpler for people. Let's connect and build something resilient.
Hi, I'm Ani
Engineering leader with deep experience guiding teams and shipping resilient platforms from startups to enterprise scale. Technical rigor meets curiosity; from secure architectures to practical automation.
Beyond the Code
When I'm not architecting systems, I'm chasing horizons. in one of the 48 states often by backroads, camera in hand, exploring trails, and sampling craft beers. The road teaches patience, perspective, and the value of the scenic route.
Ask me about cloud, AI, road adventures, or how to make complex systems feel effortless.
Areas of Expertise
Reliability leadership, AI-enhanced ops, and hands-on engineering depth.
Systems Engineering & Architecture
- End-to-end design and delivery of secure, scalable infrastructure across AWS, GCP, and Azure.
- Infrastructure as Code with Terraform & Pulumi, strong CI/CD automation, resilient monitoring.
- Solutions that balance cost, compliance, performance, and reliability with FinOps guardrails.
Reliability, Security & Observability
- Platforms built for high availability, rapid recovery, and real-world resilience.
- Deep experience with SLOs/SLIs, incident management, chaos drills, and risk reduction.
- AI/ML for ops automation, anomaly detection, and predictive analytics.
AI/ML & Automation
- Integrating custom and open-source LLMs for smarter operations and developer productivity.
- Architecting AI copilots, automated incident summaries, and secure deployment pipelines.
- Always seeking ways to make platforms smarter and teams more effective.
Team Leadership & Growth
- Built, mentored, and led engineering teams across geographies and domains.
- Clear communication, coaching, and collaboration across functions.
- Advocating for healthy engineering culture, knowledge sharing, and blameless learning.
Tech I Get My Hands Dirty With
The platforms and tools I actually use, not just talk about.
AI / ML
- Secure MCPs, LangChain, Hugging Face, PyTorch
- MLOps: evaluations, guardrails, safe rollouts, CI for models
Cloud Platforms
- Multi-cloud expertise (AWS, GCP, Azure) with deep services
- Private clouds incl. Pivotal Cloud Foundry (PCF) and platform abstractions
Automation & Infra
- Terraform, Kubernetes, Docker, Jenkins, GitHub Actions, Helm
- CI/CD pipelines and policy driven delivery across multi cloud environments
Monitoring & Observability
- Prometheus, Grafana, ELK, Datadog, AppDynamics, Dynatrace, New Relic, Splunk, SignalFx, OpenTelemetry
- Dashboards, alerting, and analytics tuned for high signal ops
Data Platforms
- Databricks, Microsoft Fabric, Snowflake
- Analytics and lakehouse architectures integrated with platform workflows
FinOps & Cost Optimization
- Built CUR pipelines processing 1B+ cost and usage data points per hour
- Achieved 99%+ cost allocation accuracy via tagging governance across accounts and teams
- $8M+ verified savings through infra rightsizing, observability tuning, and people/process optimization
Languages
- Python, Go, Java, TypeScript, Shell, SQL
- Comfortable across back-end services, APIs, and automation scripts
Other Strengths
- Incident command, FinOps, compliance, security
- API development, governance, and organizational enablement