Ekki Rinaldi

• Responsible for 5 main product with different platform: Cluster-based (using Mesos-Marathon), Cloud, Docker for Streaming and Snapshot, and SDK.
• Reduce Product Onboarding Time of product up to 95% and Image Size to 95,83% by redesigning product architecture from Python-Based to C++ binary.
• Reduce Product Total Cost of Ownership (TCO) up to 96,05% by changing platform, optimizing pipeline, and finding equilibrium between model performance and computation consumption.
• Increase up to 210% of development team by simplifying product lineup, prioritizing backlogs, and aligning management vision with team capabilities.
• Cut deployment time and user onboarding up to 96,7% by creating single-source-of-truth document (SSOT)
• Conceptualized and deployed enhanced product features and optimized implementation for use in commercial strategies.
• Established criteria for each milestone within product roadmap as means to measure developmental progress.
• Spearheaded collaborative efforts between Engineering's and AI Research's to bring products to market.
• Collected customer requirements, directed testing and conducted continuous evaluations to make proactive adjustments to marketing approaches.

Research on sentiment analysis, inventing FVEC-CNN, deep learning method to classify the data with additional FVEC feature. Speaker in EECSI 2018.

• Prioritized roadmap in order to achieve product goals and metrics.
• Research market and make market segmentation based on product.
• Help team to analyze each competitor and its bargain power.
• Develop idea to create new product to solve problem in the market