Challenge: Client needed a proprietary framework for fine-tuning large language models for domain-specific NLP applications.
Solution: Developed custom Python framework with PyTorch backend. Proprietary preprocessing, tokenization optimization, and model quantization algorithms. Full source code ownership.
Impact: 3x faster model convergence; 50% reduction in training costs; deploying to production in 500+ enterprise environments.
Challenge: Client required proprietary machine learning algorithms with full source code ownership for competitive advantage.
Solution: Built custom Python library with advanced ML algorithms including proprietary clustering, optimization, and classification implementations using NumPy and SciPy. All source code provided for client ownership.
Impact: 60% higher accuracy vs industry standards; reduced deployment time by 75%; used across 200+ client installations worldwide.
Challenge: Client needed real-time analytics dashboard powered by machine learning models for predictive insights and business intelligence.
Solution: React frontend with Python backend integrating TensorFlow for predictive modeling. Proprietary data processing algorithms and custom ML pipelines for real-time inference.
Impact: Process 100M+ events daily; predictive accuracy 96%; deployed with full source code ownership for model customization.