Work With Me

I help AI teams cut through complexity and deliver systems that balance technical excellence with real-world business impact.

1

Data Strategy

  • Analyse your existing data landscape and your user's information needs
  • Audit existing pipelines for hidden security risks
  • Architect and implement granular indexing strategies for your specific usecases
  • Design and deploy robust query routing strategies
  • End-to-end fine-tuning pipelines for embedding models for highly personalized retrieval
  • Identify bottlenecks and performance optimization for future proof systems
2

Team Building

  • Stand-ups become focused on concrete experiments and metrics that is aligned with your business goals
  • 6-week intensive training program: Build RAG systems the right way – from chunking strategies to evaluation frameworks (rag-course.sandipanhaldar.com)
  • Production-ready AI engineering: Train your team to effectively integrate coding tools into production applications
  • Roadmap design and alignment
  • Communication strategies for probabilistic systems unlike traditional software systems
  • Want to level up your team's AI skills? Sign up for my free newsletter course at newsletter.sandipanhaldar.com
3

Reliable Evaluation System

  • Implement the right evaluation metrics that aligns with your business needs
  • Accelerate your testing from weeks to days
  • Align LLM judges with human feedback
  • Implement statistical validation to distinguish meaningful improvements from random noise
  • Benchmark architectures to quantify tradeoffs between cost, latency, and accuracy
  • Synthetic test data to systematically target edge cases and failure modes without exposing sensitive user data
  • Optimize experiment costs – Cache API results, test on subsets first, and prune dead-end experiments early
4

Improve RAG Systems

  • Pinpoint retrieval weaknesses by segmenting user queries by topic, intent to diagonise system failure
  • Structure data – Extract metadata, tables, and visual context to enable precise filtering
  • Automatically direct requests to specialized tools (SQL engines, image indexes, codebases)
  • Fine-tune embeddings and re-rankers using real user feedback to align outputs with domain-specific needs
  • Build user-driven validation (thumbs-up/down, error highlighting) and guardrails for systematic upgrades

Ready to build AI systems that deliver real business value?

Here's a cal.com link to book some time if this sounds like something you're interested with.

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