Enterprise cloud
Azure
Ship governed agents on Microsoft cloud — retrieval, identity, containers, and ops.

Fundamentals & system design
Build AI systems that work beyond the prototype.
A practical guide to designing, deploying, and operating production-ready AI systems — agents, RAG, MCP, A2A, and the full system-design lifecycle.
Apply these concepts through 5 scenario-based system designs, including:
Designed for AI engineers, forward-deployed engineers, software engineers, and system architects building real-world agentic AI systems.
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AI FORWARD DEPLOYED ENGINEER
YEARS
Leadership
7+ years in Software Engineering & Agentic AI
Fortune Global 50 AI Forward-Deployed Engineer building production-ready AI agents, multi-agent workflows, RAG pipelines, MCP-enabled integrations, and full-stack AI applications that solve complex enterprise business flows. USAII Certified AI Scientist focused on connecting AI with real systems and delivering measurable business value.
Strategic LeaderStrategic leader with a Doctorate in Business Administration, specializing in Information Systems and Enterprise Resource Management — with earlier leadership roles supervising 100+ schools in Nepal's education sector. Also an Author of practical AI and mental wellness books, and a Mental Health Advocate (MHFA-Certified), bringing clarity, resilience, and a human-centered perspective to high-performance teams.
Live projectsOrganized the way Forward Deployed Engineers ship: Azure and GCP for enterprise clouds, Grok / xAI for frontier reasoning, and open source so agents stay portable.
7+
years
Software Engineering & Agentic AI
Core stack
Models
Enterprise cloud
Ship governed agents on Microsoft cloud — retrieval, identity, containers, and ops.
Vertex & ADK
Vertex-native agents and RAG for regulated workloads — search, Cloud Run, and controls.
Frontier delivery
xAI platform for tool-using agents, fast product loops, and field demos.
Portable runtime
Vendor-neutral agent stacks so delivery is not locked to one cloud or model provider.
Open repositories mapped to the same FDE stack — GCP RAG, LangGraph runtimes, MCP tools, and learning platforms.
GitHub profile — AI agent, RAG, MCP, multi-agent workflows & fullstack projects
Secure enterprise hybrid RAG on GCP — DLP, Model Armor, adaptive routing, RRF
FastAPI + LangGraph multi-agent runtime for Pilot My Career
GetAuctionList AI front door — LangGraph chat, RAG, MCP tools
Streamlit AI learning studio with RAG-lite tutoring and progress tracking
Production experiences across AI career navigation, investor data, and family learning — each with a direct link to explore.
Texas foreclosure and trustee sales in one book-style table — sale dates, parties, legal lines, and property context without hopping across county PDFs and clerk sites.
Blueprints, Streamlit apps, and interface concepts live in Resources.
Explore all buildsPublished writing, author pages, and primary platforms.
FDE system design, AI career titles, and wellness collections on Amazon.
Read FDEBuild AI systems that work beyond the prototype.
A practical guide to designing, deploying, and operating production-ready AI systems — agents, RAG, MCP, A2A, and the full system-design lifecycle.
Read now →
AI BooksRead this practical AI book set to understand what is changing, what skills matter now, and how to stay relevant with confidence in your work and life.
Grab the set →
Wellness BooksLearn how to balance emotions, reduce stress, and build a happier daily life even in fast-changing times. Start with these emotional wellness books.
Read now →Nobody is perfect — but growth begins when we stay curious, open-minded, and ready to learn, apply, and lead.