Pragya Keshap

Hi, I am Pragya Keshap

Technical Architect, Cloud Technologies & AI

I am a technical architect specializing in cloud technologies and AI solutions. With expertise across Google Cloud Platform and modern AI frameworks, I help organizations build scalable, intelligent systems that drive business value.

About Me

Technical Lead building secure, scalable, cloud-native systems in e-commerce, fintech, and enterprise. I design AI-driven platforms with a strong focus on cloud security, API management, and containerized deployments on Google Cloud, Kubernetes, and Docker. I love turning complex problems into clear, reliable, and human-centered solutions.

Current Focus

AI-enabled DevSecOps, API threat analytics, confidential computing (SGX / SEV-SNP), and governance for trustworthy AI

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What I Do

Architecture reviews, hands-on prototypes, migration playbooks

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Write

Cloud security, Observability, AI governance, API gateways — articles, book chapters, and conference papers

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Collaborate On

Docker extensions, GKE patterns, Application modernization, cloud migration, cloud security, dashboards, and policy-as-code labs

Technologies & Expertise

Core competencies spanning cloud architecture, AI/ML operations, and security engineering.

☁️ Cloud & Infrastructure

Docker
Kubernetes
Google Cloud Platform (GCP)
Terraform
Microservices
Serverless

🤖 AI & Machine Learning

LLMOps
OpenAI
LangChain
TensorFlow
Model Context Protocol
GPU Computing
NVIDIA GPU

🔒 Security & Compliance

Container Security
DevSecOps
Confidential Computing
TEE
Cybersecurity
Zero Trust

🌐 Networking & APIs

WebRTC
API Management
Apigee
REST APIs
Akamai GTM
Load Balancing
Multi-Region

📊 Observability & DevOps

Prometheus
Grafana
CI/CD
Monitoring
Performance Tuning
Zero-Downtime Deploy

💻 Development & Tools

Python
Node.js
FastAPI
Kafka
Git

Recent Publications

Latest writings on cloud architecture, AI, and software engineering.

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AI Agents Need Guardrails

Published on: O'Reilly Radar

Comprehensive guide on how to build trustworthy AI systems by turning governance into code.

Securing AI Agents with Docker, MCP, and cAgent: Building Trust in Cloud-Native Workflows

Published on: Cloud Native Now

Comprehensive guide on securing AI agents in cloud-native environments using Docker containers, Model Context Protocol (MCP), and cAgent framework.

LLMOps: Docker Practices for LLM Deployment

Published on: DZone

Practical guide to deploying Large Language Models using Docker, covering containerization strategies, resource optimization, and production-ready deployment patterns.

WebRTC at Scale: GPU Nodes, Prometheus, and Latency-Based Autoscaling on GKE

Published on: DZone

Deep dive into scaling WebRTC applications on Google Kubernetes Engine with GPU acceleration and custom latency-based autoscaling strategies.

The GH0STEDIT Attack: How Hackers Hide in Docker Image Layers

Published on: HackerNoon

Security analysis of the GH0STEDIT attack vector targeting Docker container images and best practices for securing container image supply chains.

Confidential Kubernetes: Securing Data in Use with Google Cloud's TEEs

Published on: HackerNoon

Explores confidential computing on Kubernetes using Google Cloud's Trusted Execution Environments for enhanced data protection.