The Drug Development Platform (DVLP) is an enterprise-grade web application designed to streamline pharmaceutical data analysis and accelerate the drug development process. The platform combines advanced data processing capabilities with AI-powered insights to generate detailed, actionable proposals.
Key Features
Data Pipeline Architecture
- Built comprehensive data pipelines for pharmaceutical data analysis
- Implemented efficient data processing and transformation workflows
- Integrated multiple data sources for holistic analysis
AI-Powered Insights
- Implemented algorithms to synthesize insights from complex pharmaceutical data
- Automated the generation of detailed, actionable proposals
- Implemented drug document generation using agentic workflow
- Streamlined decision-making processes through data-driven recommendations
User Interface & Experience
- Leveraged React, Next.js, and Material-UI for an intuitive enterprise interface
- Enhanced backend functionality using Nest.js for robust data handling
- Designed scalable architecture to handle large-scale pharmaceutical datasets
Technical Highlights
- Backend development using Golang for high-performance data processing
- Machine learning integration with PyTorch for predictive analytics
- Database optimization with PostgreSQL and Neo4j for efficient data storage
- Cloud infrastructure on AWS (S3, RDS, Batch) for scalable data management
- Agentic workflow orchestration using Langsmith
- Distributed job processing with Faktory
- Real-time updates using Mercure
- RESTful API design for seamless frontend-backend communication
- Containerized deployment with Docker
Built with
- Golang - Backend programming language
- Next.js - React framework
- Nest.js - Node.js framework
- Python - Data processing and ML
- PyTorch - Machine learning framework
- PostgreSQL - Relational database
- Neo4j - Graph database
- AWS (S3, RDS, Batch) - Cloud infrastructure
- Material-UI - Component library
- Faktory - Job processing system
- Mercure - Real-time communication protocol
- Langsmith - LLM workflow orchestration
- Docker - Containerization platform