Avi Mahajan

Orchestrating product vision and driving GenAI-powered data extraction across 10+ global units, automating 60% of manual workflow and saving 300500 hours monthly. Conducting market intelligence and stakeholder interviews to architect product workflow and prioritize 100+ high-value global use cases. Steering product backlog & executing prioritization trade-offs across accuracy, SLA turnaround, scalability, TCO, leveraging decision frameworks and hybrid human-in-the-loop automation. Leading executive-level demos and GTM enablement sessions to articulate business value and technical differentiators to enterprise clients. Facilitating cross-functional alignment with engineering, analytics, UX, and business teams through discovery workshops and strategic capability mapping across regions. Defining and tracking product KPIs and OKRs via analytics dashboards and real-time user feedback loops to optimize performance and drive continuous iterative innovation.

Owned end-to-end AI platform product strategy, driving vision, roadmap, and delivery from ideation through enterprise-scale adoption. Defined & executed a value-driven roadmap, prioritizing features based on quantified business impact, adoption potential, and long-term platform scalability. Scaled platform adoption to 5,000+ business users across 40+ teams, enabling 1,500+ GenAI use cases through modular, self-service capabilities embedded in core workflows. Led multiple enterprise-wide launches, incorporating user feedback and usage analytics into iterative roadmap enhancements and post-release optimizations. Drove rapid product discovery and validation through 20+ experimentation cycles and high-fidelity prototypes to de-risk investments and guide prioritization. Translated complex business needs into clear user stories, acceptance criteria, and functional specs, partnering closely with engineering and UX to ensure delivery quality.

Managed end-to-end lifecycle of 30+ mission-critical enterprise applications deployed across manufacturing plants nationwide. Led cloud migration of legacy databases to Azure, achieving 25% performance uplift and substantial OPEX reduction. Enhanced SLA compliance from 90% to 95% by resolving 1,000+ incidents, contributing to operational excellence initiatives. Mentored a high-performing team of 5, enforcing process discipline and governance standards. Streamlined workflow and enhanced UI/UX in enterprise applications, reducing support tickets by 30% and improving employee adoption.

Engineered next-gen product applications leveraging machine learning, augmented reality, and geospatial analytics technologies. Developed AI-powered Communication Skill Assessment Platform, achieving 50% operational efficiency gains and 90% predictive accuracy. Conducted market research and curated 30+ hours of audio datasets, performing advanced data preprocessing, feature engineering, and model training pipeline development.