Work Experience

May 2022 - May 2023

Achievements

Launched a B2B AI-based anomaly detection platform empowering users to independently train and deploy ML models, adhering to inferencing requirements for real-time analytics.
Built and scaled a back-office platform that reduced operational processing time by 11%.

Responsibilities

Defined and iterated product roadmap for AI-driven use cases, leading user acceptance testing (UAT) and post-rollout analysis.
Evangelized AI product features to internal teams and enterprise clients through interactive demos, training sessions, and documentation.
Collaborated with ML engineers, designer,s and data scientists to refine model deployment experience, ensuring scalability and real-world usability.
Conducted competitive research and shaped go-to-market messaging around model performance and automation features

Achievements:

Increased multilingual product engagement by 7% through insight-led feature prioritization and iterative A/B testing.

Responsibilities:

Partnered with stakeholders to understand user behavior and generate hypotheses for experimentation. Developed content strategies and demo materials for internal alignment and external user onboarding.
Led product discovery sessions and used voice-of-customer insights to influence roadmap priorities.
Built high-fidelity wireframes and assisted in generating demo scripts for new feature rollouts.

Achievements:

Improved user journey efficiency by 6% via architecture restructuring and technical roadmap refinements.

Responsibilities:

Reimagined API documentation and developer-facing UX, improving accessibility for partners integrating APIs.
Partnered with engineers to gather implementation feedback and support demos of technical workflows to client teams.

Achievements

Improved system efficiency by 8% through scalable Docker-based deployment strategies across three global retail regions.

Responsibilities

Designed and deployed automation bots in Azure, reducing manual processing time by 35% and laying the foundation for scalable AI-based task orchestration.
Built real-time SQL dashboards and data pipelines to support business intelligence use cases—enabling faster decision-making and improved forecasting accuracy.
Created Power BI dashboards that enhanced operational transparency and empowered leadership with data-informed insights.
Acted as a technical liaison between product, data engineering, and business teams to ensure a successful rollout of analytics-driven solutions.
Conducted internal stakeholder training on new digital tools, enabling faster adoption and usability across cross-functional teams

Led ideation and pricing strategy for digital learning tools by analysing market trends and user behaviour; delivered segment-specific positioning that informed product roadmap and improved sales conversations with 3+ partner organisations.
Enhanced partner engagement by equipping sales with tailored collateral; drove this by leading cross-functional workshops with PMs to translate customer journey insights into product and pricing recommendations.

Boosted LinkedIn engagement by 8% using targeted messaging informed by behavioral analytics and GenAI-assisted content planning.
Led cross-functional initiatives using research-backed insights to refine AI-based engagement strategies.
Created scripts, visual materials, and presentation decks for stakeholder buy-in and event execution.