Portfolio research programme / 2024–2026

Senior Program Manager · Azure Commerce · Agentic AI

Dheemanth Rajkumar

How do we turn cloud-scale complexity into clear, reliable systems?

I connect business, engineering, live-site operations, and sales engineering to improve Azure Commerce. My work spans service architecture, agentic AI, telemetry, capacity, billing, and global delivery.

Read the project indexWorking principles
FIG-01 / TRANSFORMER CAREER MODEL
READ LEFT → RIGHTSignals become experience, leadership systems, and Azure Commerce impact.
01 Career signals02 Role experience03 Leadership core04 Commerce impact

Swipe horizontally to inspect the architecture

Transformer architecture of Dheemanth Rajkumar's Microsoft career Career model showing customer, billing, subscription, capacity, telemetry, economic, and risk signals feeding Support Engineering and global technical advisory, then flowing through Azure Commerce architecture and agentic learning loops to produce a unified, resilient transactional experience. SENIOR PM · 2021–PRESENT SIGNALS Cases · billing subs · patterns CONTEXT Capacity · econ. telemetry · risk INPUT Support Eng. 2009–2017 SCALE Technical advisor 2017–2021 MHA Synthesis 4 domains LOOP AI loops AI · improve AZURE COMMERCE ARCHITECTURE AGENTIC HARNESS + LEARNING LOOP IMPACT Azure Commerce unified · resilient
FoundationSupport engineering
AdvisoryGlobal Azure scale
Current layerSenior Program Manager
ImpactUnified, resilient commerce

Career as a Transformer: customer, billing, subscription, capacity, telemetry, and risk signals become operating patterns; Azure Commerce architecture and agentic learning loops turn that context into a unified, resilient transactional experience.

Azure experience2009–Present
Case studies06 published
Delivery reach1,000+ engineers
Graduate educationM.S. Applied AI · USD
01Project index

Six case studies, with four spaces reserved for work still being documented.

The published dossiers show challenge, approach, an illustrative model, and contribution. Reserved entries keep the portfolio structure ready without overstating unfinished work.

P01
RAG OnboardingEnabled grounded LLM access to business data through early framework adoption.
AI / Data AccessCase study↗ P02
GHCP Adoption TelemetrySkill-level telemetry for internal adoption and ROI insights.
Telemetry / Low CodeCase study↗ P03
BETA-MINDA research program for measuring whether AI preserves human agency.
AI Research / EvaluationResearch design↗ P04
Cloud CapacityQuota management at global scale across 100+ Azure services.
Cloud / CapacityCase study↗ P05
Sales EngineeringConnecting Azure migration, FinOps, and commercial strategy to executive outcomes.
Azure / Commercial StrategyCase study↗ P06
Global Support DeliveryLaunched two Azure delivery sites and the operating system behind them.
Azure / Service OperationsCase study↗ P07
Reserved Project 07Reserved for a future case study.
Future / ReservedReserved↗ P08
Reserved Project 08Reserved for work still being documented.
Future / ReservedReserved↗ P09
Reserved Project 09Reserved for an evidence-led project record.
Future / ReservedReserved↗ P10
Reserved Project 10The final reserved space in the collection.
Future / ReservedReserved↗
02Learning radar

A selective watchlist for systems, model releases, research, and business news with the potential to reshape how industries use AI.

GitHub Trending, Hugging Face's trending models, and Hugging Face Daily Papers are discovery signals, not quality scores. Items enter this digest when they combine credible provenance, reusable ideas, active attention, and potential relevance across multiple sectors. Business news is a separate, manually-refreshed signal built from a live, cited web search rather than a free public API — see the note below the tabs for why.

Learning radarExplore today’s code and research signals.

Updated daily

Code signalGitHub Trending · 16 Sept 2026
Research signalHugging Face Trending · 16 Sept 2026
Selection filterKeyword + trending-score match · top 4 each
How this updatesScheduled GitHub Action · auto-commits daily
01Trending lead

alibaba · Go

open-code-review ↗

Fast, efficient, battle-tested at Alibaba's scale. Hybrid architecture code review tool: deterministic pipelines + LLM Agent, precise line-level comments, built-in multi-language ruleset (NPE, thread-safety, XSS, SQL injection), OpenAI & Anthropic compatible.

Why it is on the radar

GitHub reports 3,215 stars today. That momentum makes this repository worth tracking for reusable technical patterns and signs of durable adoption.

30,552 total stars · Reviewed 16 Sept 2026
02 / Trending repository1,434 stars today

security-audit-skill ↗

A coding-agent skill for multi-phase security audits with independently verified, machine-readable findings

5,750 starsJavaScript
03 / Trending repository409 stars today

voicebox ↗

The open-source AI voice studio. Clone, dictate, create.

54,118 starsTypeScript
04 / Trending repository96 stars today

knowledge-work-plugins ↗

Open source repository of plugins primarily intended for knowledge workers to use in Claude Cowork

24,161 starsPython

Also worth tracking: The business news tab above is refreshed manually, not on the same daily schedule as the signals above — it calls a paid Foundry web-search tool, so it runs by hand every so often rather than automatically. For continuous, comprehensive coverage of AI investment and global datacenter buildout, here are two reputable, actively maintained trackers instead: Crunchbase News: AI ↗ for funding, and Data Center Dynamics ↗ for global buildout.

03Working principles

Four principles guide how the work is framed and evaluated.

Good outcomes matter, but so do the quality of the decisions, the clarity of the system, and what remains useful after launch.

01

Clarify the real problem

Separate symptoms from causes before committing to a solution.

02

Make decisions visible

Document tradeoffs so the work can be understood, challenged, and improved.

03

Build for actual use

Prefer observable behavior and useful outcomes over decorative complexity.

04

Leave capacity behind

Create systems that remain legible and adaptable after delivery.

04Experience

Sixteen years across Azure commerce, customer outcomes, and operational scale.

A career connecting platform architecture with the financial, operational, and human systems required to run cloud services globally.

CompanyMicrosoft
DomainAzure Commerce
LocationRedmond, Washington
Tenure2009–Present
E03

Sep 2021–Present

Senior Program Manager

Redmond, Washington · Hybrid

Blend business, engineering, live-site, and sales-engineering perspectives to improve and unify transactional experiences across Azure Commerce.

Lead commerce service architecture reviews, AI feature engineering, and continuous improvement through agentic harness and loop engineering.

  • Azure Commerce architecture
  • Agentic AI feature engineering
  • Live-site and sales engineering
E02

Dec 2017–Sep 2021

Partner Technical Advisor

Global Azure delivery

Helped enterprises convert complex Azure commerce, billing, identity, and capacity challenges into predictable executive outcomes through rigorous technical and economic analysis.

Built telemetry frameworks for decisive action, improved operational resilience, and launched delivery centers in Costa Rica and Colorado Springs supporting more than 1,000 engineers.

  • Executive technical advisory
  • Capacity and resource optimization
  • Global delivery leadership
E01

Nov 2009–Dec 2017

Support Engineering

Azure Commerce, Subscriptions & Billing

Resolved complex Azure cloud infrastructure, subscription, and billing issues while translating emerging operational patterns into clear business needs and action plans.

Led small rotational teams and guided projects from incubation through operational maturity.

  • Complex issue resolution
  • Pattern and risk analysis
  • Project incubation
EDU

May 2024–Jan 2026

Master of Science in Applied Artificial Intelligence

Shiley-Marcos School of Engineering · University of San Diego

Graduate study reinforcing the technical foundation behind applied AI program design, evaluation, data grounding, and responsible adoption.

05Credentials & recognition

Leadership at the intersection of applied AI, Azure strategy, product execution, and technical impact.

The evidence combines graduate study in Applied Artificial Intelligence with a curated selection from 18 public Credly badges.

Graduate degreeM.S. Applied AI · USD
Verified badges18
Primary domainsAI · Product · Azure
Verify badges on Credly ↗
AI / 2026

MBO AI+CI Foundations Certified

Microsoft Business Operations

Recognition / 2024

Global Hackathon Executive Challenge Winner

The Microsoft Garage

Product AI / 2023

AI for Product Management

Pendo

Analytics / 2023

Product Analytics Certification

Pendo

Product / 2023

Product-led Certification

Pendo

Leadership / 2021

Technical Leadership Development Program — Alumni

Microsoft MCAPS Academy

Azure Commerce / 2021

WW Azure Technical Community — Commerce SME

Microsoft technical community

Azure / 2020

Microsoft Certified: Azure Fundamentals

Microsoft

Additional verified work includes Microsoft Global Hackathons from 2020–2025, Product Management Basics, Pendo Super Certified, Kepner Tregoe Practitioner, and Azure Subscription & Billing Support.

06Outside work

Outside work, curiosity moves between research, making, and the outdoors.

Independent AI exploration sits alongside two ways I reset away from a screen: E-skates and snowboarding.

01 / Research

BETA-MIND

Exploring how persistent AI use may change independent reasoning, creativity, socialization, and decision accountability.

Open research dossier ↗
02 / Building

AI experiments

Turning early ideas into testable frameworks, telemetry models, and working prototypes that make abstract questions observable.

Review selected projects ↑
03 / Learning

Applied AI

Extending practical experience through graduate study, product education, technical communities, and hands-on experimentation.

Review credentials ↑
04 / Movement

E-skates

A fast, focused way to get outside, explore, and exchange screen time for movement.

05 / Mountains

Snowboarding

My home mountain is Crystal Mountain in Washington—where winter weekends mean fresh air, elevation, and the next run.

Crystal Mountain / Current--°FLoading weather…
High / Low · WindLive mountain weather
Official mountain report ↗

07 / About

I turn cloud-scale ambiguity into clear, reliable systems.

This portfolio connects selected work with the operating experience behind it: Azure commerce architecture, customer economics, live-site resilience, telemetry, global delivery, and applied AI.

Connect on LinkedIn ↗Review the project index