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 audience AI clustering models based on behavior patterns and conversion probability. Created a multiplicative marketing mix model and introduced models for audience clustering.
Improved computer programs for better factory monitoring, combined them with real-time location and sensor data, and built new tools and websites for managing everything.
Integration with R&D workflows; 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.