AI implementation
Move beyond demos by grounding agentic AI in real workflows, usable data, evaluation, security, and human judgment.
Director · Technology Programs · AI Transformation
Strategy is only real when it ships.
I’m Dharmendra Shishulkar, a technology and program leader translating ambitious ideas into working systems, stronger teams, and measurable business outcomes.
What I do
From executive intent to production reality.
My work sits where technology strategy, product delivery, and organizational change meet. The goal is not activity. It is a system that creates value repeatedly.
Portfolio leadership
Turn strategy into roadmaps, investment choices, operating cadences, and transparent decisions across complex programs.
Delivery systems
Design team structures and flow that shorten feedback loops, expose risk early, and make working software the measure of progress.
Focus areas
The hard middle between vision and value.
Enterprise AI transformation
Shape the operating model around AI, not only the model itself, so teams can move from experiments to governed, repeatable capabilities.
Product & platform modernization
Coordinate architecture, experience, security, and delivery choices while keeping modernization tied to customer and business outcomes.
Spec-driven development
Use clearer specifications and AI-assisted engineering to reduce ambiguity, improve traceability, and accelerate high-quality implementation.
Lean portfolio execution
Bring roadmaps, flow metrics, dependency management, and delivery governance into one coherent decision system.
How I lead
Clarity, cadence, evidence, trust.
Start with the outcome
Define the change we expect in customers, operations, risk, or economics before choosing the machinery.
Make progress visible
Use working software, flow, and evidence, not optimistic narration, to understand what is moving and what is stuck.
Build the learning loop
Short cycles make disagreement useful. Plan, build, demonstrate, learn, and adjust before certainty becomes expensive.
Treat trust as infrastructure
Responsible delivery depends on clear ownership, honest risk signals, thoughtful controls, and room for teams to think.
Technology should simplify the difficult, not decorate it.
I lead technology project and program management with a builder’s mindset and an architect’s curiosity. I care about the whole path: the business case, the system design, the team model, the release, and the result.
My interests span enterprise AI, agentic workflows, software architecture, delivery science, and the mathematics beneath complex systems. Outside work, I’m often planning a landscape photograph or a family trip detailed enough to qualify as a minor program.
Let’s connect
Build something that survives the slide deck.
For conversations about AI transformation, technology leadership, architecture, or delivery systems, LinkedIn is the best place to reach me.
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