Core Capabilities
- LLM application development using GPT-4o, Claude, Gemini, and open-source models
- Retrieval-Augmented Generation (RAG) with Pinecone, Weaviate, and pgvector
- Computer vision: object detection, segmentation, classification, and OCR pipelines
- Recommendation engines using collaborative and content-based filtering at scale
- Time-series forecasting for demand planning, anomaly detection, and predictive maintenance
- MLOps: MLflow experiment tracking, model registry, drift monitoring, automated retraining pipelines
Typical Engagements
AI writing assistants embedded in SaaS products, fraud detection processing millions of transactions daily, computer vision quality control on manufacturing lines, natural language querying over business databases, and personalisation engines for content platforms.