AI Engineering Services

I help teams build, deploy, and operate AI systems, from early-stage prototypes to production-grade infrastructure. Every engagement starts with understanding your problem.

Agentic Systems Design & Development

I build LLM-powered agents that plan, reason, use tools, and execute multi-step workflows. Internal tools, research assistants, customer-facing agents. Reliable and observable.

  • Multi-agent orchestration and coordination
  • LLM tool use and API integration
  • Planning and reasoning architectures (ReAct, chain-of-thought)
  • Human-in-the-loop workflows and prompt engineering
  • Agent evaluation, testing, and AgentOps
  • Game-theoretic incentive alignment
  • Reward modeling and evaluation guardrails

AI Product Development

LLM-powered products end-to-end: architecture, backend, frontend, deployment. I ship the whole thing, ready for users.

  • End-to-end GenAI product architecture
  • Rapid prototyping and MVP development
  • LLM integration and prompt engineering
  • API design, NLP pipelines, and third-party integrations
  • Production deployment and scaling

MLOps & AIOps

Infrastructure to train, fine-tune, deploy, and monitor ML models and LLMs at scale. Reproducibility and observability included.

  • CI/CD for ML and LLMOps pipelines
  • Model fine-tuning, versioning, and registry
  • Automated retraining and drift detection
  • Inference optimization and GPU cost management
  • Infrastructure as code for ML

Search & Retrieval Systems

Production search engines serving millions of users, and RAG (Retrieval-Augmented Generation) pipelines that ground LLMs in your data. I've done both.

  • Production search systems at scale
  • Search relevance tuning and A/B testing
  • RAG pipeline architecture and optimization
  • Vector database design and embedding model selection
  • Hybrid search (semantic + keyword) and reranking
  • NLP-powered document ingestion and chunking

Computer Vision

Custom deep learning vision models for your specific use case. Full lifecycle: data strategy, annotation, training, optimization, edge deployment.

  • Object detection and instance segmentation
  • Image classification and visual search
  • Video analysis and tracking
  • Deep learning model optimization and edge deployment
  • Synthetic data generation

AI Strategy & Technical Consulting

GenAI strategy, vendor evaluation, architecture review, governance. A decade of shipping ML systems across industries.

  • GenAI strategy and AI readiness assessment
  • LLM evaluation, vendor and model selection
  • Enterprise AI architecture design and review
  • AI governance and risk frameworks
  • Causal inference and experimentation design
  • Proof-of-concept development and team capability building

Let's discuss your project

Book a free 30-minute consultation. I'll listen to your challenge and share honest feedback on whether and how AI can help.

Book a Free Call