Tasks
- Develop AI algorithms with dashboards and web portal development
- Implement and optimize CV algorithms for complex industrial environment cases
- Data preparation and annotation for industrial use cases.
The project involved developing multiple algorithms and solutions. Additionally, implementing and integrating web portals and dashboards with the platform required extensive data preparation and annotation.
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.
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.
Integration with ERP/CRM systems; GDPR/HIPAA compliance.
ARIMA and LSTM models achieve 10-15% reduction in material waste.