Azure AI & ML Services

We leverage Azure Machine Learning Studio to manage the complete ML lifecycle — from data ingestion and feature engineering to model training, evaluation, and production deployment. Our team builds automated pipelines that let you continuously improve models as new data arrives.

• Custom model development (classification, regression, NLP, CV)
• AutoML and hyperparameter tuning
• Real-time and batch inference endpoints
• MLflow experiment tracking & model registry
• Managed compute clusters and serverless inference

We deploy GPT-4, GPT-4o, and embedding models through Azure OpenAI Service — keeping your data private, your costs controlled, and your team productive. From RAG-powered knowledge bases to automated document processing, we architect solutions that scale.

• RAG systems with Azure AI Search
• Custom chatbots and copilots for your domain
• Document intelligence and summarization pipelines
• Prompt engineering and system design
• Responsible AI and content filtering

Azure Cognitive Services enables rapid integration of human-like perception into your applications. We help businesses implement face recognition, form extraction, speech-to-text, sentiment analysis, and anomaly detection — without training custom models from scratch.

• Computer Vision & Custom Vision
• Azure Document Intelligence (Form Recognizer)
• Speech Services (STT, TTS, translation)
• Text Analytics and Language Understanding
• Anomaly Detector for time series data

Great models require great data infrastructure. We design and implement scalable data pipelines, feature stores, and CI/CD workflows for machine learning — turning experimental notebooks into reliable, monitored production systems.

• Azure Data Factory & Synapse pipelines
• Feature engineering and feature stores
• CI/CD for ML with GitHub Actions & Azure DevOps
• Model monitoring and drift detection
• Azure Databricks and Delta Lake integration