I'm a Forward Deployment Engineer with 14+ years of enterprise-grade deployment expertise — from aerospace firmware at Honeywell to cloud-native MLOps pipelines for Healthcare AI. I specialize in building, scaling, and securing production systems that deliver measurable impact.

My career spans FinTech, Healthcare, and Aerospace — three of the most regulated, high-stakes deployment environments in the industry. I bring compliance-first thinking, deep infrastructure expertise, and a relentless focus on zero-downtime delivery.

🏗️  Enterprise deployment architecture & zero-downtime strategies
🤖  MLOps pipelines — SageMaker, Kubeflow, and model governance
☁️  Multi-cloud infrastructure (AWS · Azure · GCP)
🔒  DevSecOps and compliance-first deployments
📐  Infrastructure as Code with Terraform and Helm
💰  FinOps & cloud cost optimization

• Deployed NLP chatbot on AWS SageMaker → 35% reduction in enterprise support tickets
• Built MLOps pipeline: SageMaker Model Registry, automated versioning, A/B testing & shadow deployments
• Architected HIPAA & FDA 21 CFR-compliant AI governance — audit-ready from day one
• Aligned engineering, data science, and compliance stakeholders on production ML delivery

• Automated CI/CD pipelines achieving 50% faster software delivery with zero-downtime blue-green releases
• Led seamless AWS-to-private-cloud migration for mission-critical payment infrastructure
• Designed and implemented PCI DSS framework across cloud-native payment systems
• Containerized microservices on EKS with Istio service mesh — significant cost reduction achieved

• Engineered SKYCONNECT MMU/Tracker and UAV communications — mission-critical aerospace deployment
• Developed Linux drivers, bootloaders, and aerospace-grade communication protocols
• JTAG-BSCAN testing strategies deployed at Honeywell manufacturing facilities worldwide
• Mentored engineering teams, established code review protocols, drove quality standards

SageMaker · HIPAA · MLOps · FDA Compliance
Deployed NLP chatbot for healthcare enterprise — 35% support reduction with full FDA/HIPAA governance. Custom model registry with automated versioning and shadow deployment capability.

AWS EKS · PCI DSS · Zero-Downtime · Terraform
Architected PCI DSS-compliant cloud-native payment infrastructure on AWS. Blue-green CI/CD pipeline delivering 50% faster releases with zero disruption to live payment flows.

Linux Kernel · RTOS · C++ · Embedded Systems
SKYCONNECT MMU/Tracker firmware for satellite and UAV communications at Honeywell. JTAG-BSCAN testing deployed globally across manufacturing facilities.

AWS · Terraform · Kubernetes · GitOps
Zero-disruption migration strategy for mission-critical financial systems from private cloud to AWS. Infrastructure-as-code with full environment parity and automated rollback.

• MLOps at Scale — Model governance, automated retraining pipelines, and production ML monitoring
• Cloud Cost Optimization — FinOps practices, reserved instance strategies, and resource right-sizing
• DevSecOps — Shifting security left: SAST, DAST, container scanning, and policy-as-code
• Platform Engineering — Internal developer platforms that make deployment self-service

I'm always open to discussing enterprise deployment challenges, cloud architecture, and MLOps — or just connecting with fellow engineers who care about reliable, scalable systems.

• 🌐 Portfolio: sreenathgopal.github.io
• 💼 LinkedIn: linkedin.com/in/sreenathgopalakrishnan
• 📧 Email: sreenathgopal@gmail.com
• 🐙 GitHub: @sreenathgopal