Technologies We Master

Primary language for all ML, data, and API development

RAG pipelines, tool-calling agents, LLM orchestration

Multi-agent systems, stateful AI workflows

Experiment tracking, model registry, model serving

NLP model fine-tuning, embeddings, transformers

Classical ML models, feature engineering, pipelines

Deep learning model development and training

Primary cloud platform: AKS, App Service, Blob, SQL

GPT-4o, embeddings, fine-tuning in Azure tenants

Vector + hybrid search for RAG and knowledge systems

Cloud-native ETL and data orchestration

Large-scale data processing, ML training

Distributed data transformation and ETL

Data transformation, testing, and documentation

Containerization of all services and AI models

Container orchestration, AKS deployments

CI/CD pipelines, automated testing, deployments

Infrastructure as Code for Azure resources

High-performance Python APIs for AI services

SSR/SSG websites and client portals

Relational database for app data and pgvector

Managed vector database for semantic search

Caching, session management, real-time data

Enterprise Microsoft data environments