Use cases
- Forecasting and demand planning
- Churn and propensity modeling
- Recommendations and personalization
- Document understanding and summarization (NLP)
- Image classification, detection, OCR (CV)
AI Solutions
Strategy, models, and MLOps for measurable business impact.
Stack & MLOps
- Python, PyTorch, TensorFlow, scikit‑learn
- Vector DBs: FAISS, Pinecone, pgvector
- MLflow, Vertex AI, SageMaker, Weights & Biases
- ETL: Airflow, dbt; Serving: FastAPI
Engagement models
- Discovery sprint (2–3 weeks)
- Pilot (4–8 weeks)
- Productionization & handover