Key Achievements and Contributions:
- Digitization transformation of all business processes across US, Russia, Europe, China, and India service orgs to save 10k man hours/years and saving a 5 million dollars in vendor investment.
- Initiated increased investment in Mobile Dev-Ops product achieving greater revenue opportunities more than $15M over two years.
- Built automation for sales & advertising teams processes saving 1400-man hours/yr.
- Leveraged ML/AI capabilities to enable RPA for developer empowerment in Azure Dev-Ops by enabling automation and saving revenue of 6.5 million dollars.
- Developed product-market fit strategies for internal tooling adoption, applying user empathy and cost-performance analysis to inform prioritization
- Positioned validation workflows as continuous feedback loops in ML lifecycle—contributing to model refinement, product learnings, and platform evolution
- Driving exploration into human-aligned AI initiatives through mission-driven organizations such as Anthropic, combining ethical rigor with technical excellence
- Increased the adoption of App Center product by 25% by partnering with ISV and other product teams to light up new personas.
- Grew Bing Ads and Image vertical revenue from a low $6M ARR to $16M ARR in 20 months.
- Prioritized user value and ROI for customers (retailers) on Shopping/Product Advertising on Bing through enhanced user experiences and ML model optimizations.
- Defined product strategy for validation platforms supporting transitions from OS swap to LCU-based release cycles, optimizing delivery precision and platform agility
- Led product integration of ML-based workflow insights, enabling predictive failure analysis and enhancing product reliability through intelligent automation
- Spearheaded development of AI-powered documentation and sign-off tooling, reducing manual effort and accelerating stakeholder decision velocity
- Collaborated across product, engineering, and data science teams to introduce AI-enhanced KPI dashboards, improving roadmap confidence and release readiness
- Built governance frameworks to align ethical AI principles with feature rollouts, ensuring transparency and compliance in high-impact environment