STEM MBA candidate and Fisher Leadership Fellow with 9+ years driving corporate strategy and AI product management across Amazon, Oracle, Rakuten, Cisco & Microsoft — securing VP-level buy-in, owning multi-quarter roadmaps, and translating complex AI architectures into scalable enterprise P&L growth.
I lead at the seam where deep technology meets business strategy. Over 9+ years, I've moved from building the models to defining the roadmaps that fund them — authoring 45 business cases that secured VP-level approval for 12 strategic initiatives across Amazon's Retail, Devices, Prime Video and AWS organizations.
My work is measured in outcomes the C-suite cares about: a $20M ARR portfolio at Oracle, 44% CTR lift at Amazon, a 3× reduction in OpEx for 70M customers, and go-to-market cycles shortened by 25%.
I build the teams that deliver it. I've mentored 51 engineers and set the AI product vision for entire organizations. My STEM MBA at Ohio State's Fisher College formalizes the finance, strategy and product-management craft behind that instinct.
"Translate technical complexity into actionable business plans — then build the team that ships them."
— Operating Principle
Targeted credentials highlighting specific strategic leverage, technical architecture depth, and quantifiable business outcomes across distinct leadership mandates.
Positions deep technical competencies as strategic leverage. Emphasizes structured problem-solving, digital transformation roadmaps, business case approvals, and enterprise P&L outcomes.
Frames leadership around zero-to-one product lifecycles, user experience optimization, engineering prioritization, feature backlog management, and technical platform strategy.
Highlights deep applied science mastery: frontier LLMs, autonomous multi-agent orchestration (AURORA), GraphRAG, distributed GPU infra, and proprietary architectures.
Applies Lean Six Sigma, root-cause analysis (RCA), and AI automation to complex operational bottlenecks, digital inventory supply chains, and enterprise throughput scaling.
Concentrates on capital structure optimization, DCF/LBO modeling, treasury workflow automation, and algorithmic risk mitigation for high-volume transactions.
How I structure ambiguous enterprise problems into scalable, operational realities.
The structured "working backwards" mechanism I utilized to author 45 business cases, securing VP-level funding for 12 strategic initiatives across Amazon Retail, AWS, and Prime Video.
The technical blueprint behind the AURORA 10-agent pipeline. Defines state-graph routing, asynchronous self-correcting verification loops, and O(1) label-based RBAC graph security.
An end-to-end DMAIC cycle playbook used to eliminate catalog mapping latency. Integrates Root Cause Analysis (RCA) with cloud infrastructure optimization.
A comprehensive strategy deploying generative AI workflows within financial operations to automate intent classification and function calling for global customer queries.
The rollout strategy for the 'Rec-Rainbow' LLM engine. Maps client segmentation, A/B testing infrastructure, and sequential monetization models across ad networks.
A comprehensive playbook for upskilling organizations. Details the deployment of 29 reusable Claude Code skills, CI/CD pipeline heuristics, and internal engineering hackathons.
Authored 45 comprehensive PR/FAQs, successfully securing VP-level approval and funding for 12 strategic AI initiatives shaping Digital Acceleration across 4 organizations.
Led a 15-person cross-functional team to architect and launch 'Rec-Rainbow', generating a 44% lift in Click-Through Rate (CTR) and a 53% increase in user dwell time.
Managed product strategy and 8 agile sprints across 4 healthcare data verticals. Led the acquisition of 42 international enterprise clients by shipping low-latency AI solutions.
Designed and deployed an automated promotion-monitoring system for Amazon Japan, achieving 99.6% accuracy in identifying product placements and slashing operational overhead.
Each role framed as it would be in a consulting case: the context, the numbers, and what I actually drove.
Set AI product strategy and led cross-functional execution across AWS, Amazon Pay, Kindle, Prime Video & Retail Science.
Owned product strategy and delivery for enterprise document-intelligence and healthcare-data verticals.
Great strategy comes from uncovering the real challenge behind the stated one. I frame ambiguity into structured, testable hypotheses before committing resources.
Rational, evidence-based decision-making under uncertainty is the core of the craft. I pair quantitative rigor with the judgment to move decisively.
Mentoring 51 engineers taught me that durable results come from teams that grow. I invest in talent, coaching and a culture of path-breaking work.
I care about the long-term scalability of a solution and lasting organizational change — delivering results that endure long after a project concludes.