Tasks
- Enhancing AI models for improved efficiency.
- Transitioning systems to AWS for scalability.
- Consolidating data from various sources.
- Aligning releases with client design and usability needs
The main challenge was migrating to AWS managed services to enhance performance and scalability, consolidating data sources, and integrating client-specific design and usability needs.
Developed a generative AI-powered interface for IBC and ASCE queries, enabled iterative refinement, integrated design standards, and optimized mobile/desktop usability.
Developed ML for OTT screen classification and TV channel recommendations, and empowered engineers to work with minimal supervision.
Developed AI-powered audience clustering models based on behavior patterns and conversion probability. Additionally, created a multiplicative marketing mix model.
Improved factory software for better safety monitoring, integrated real-time location and sensor data, and built original tools and interfaces for efficient risk management.
Integration with R&D workflows and data privacy compliance.
Expert services reduce research time and costs by 15-20%, enhancing drug discovery success rates.
Integration with LIMS, compliance with regulatory standards and GMP.
Machine learning enhances HPLC capabilities, achieving a 20-25% increase in operational efficiency and reducing manual workload.