Practical AI Workflows & Autonomous Agents
Grounded LLM applications, retrieval-augmented research assistants, and deterministic agentic pipelines with verifiable evaluation boundaries.
Who this is designed for
- —Teams wanting to automate complex document analysis, data extraction, or classification
- —Organizations seeking verifiable AI systems without hallucination vulnerabilities
- —Product teams integrating Nebius AI, OpenAI, or Anthropic models into existing backends
Tooling & Architecture Stack
Deployments are tested on isolated environments with synthetic fixtures to prevent data leakage and ensure zero regression.
What you receive
Grounded RAG (Retrieval-Augmented Generation) pipelines with citation verification
Multi-step autonomous agent workflows with human-in-the-loop review checkpoints
Structured extraction pipelines converting unstructured PDFs/documents to verified JSON
Evaluation harnesses and continuous validation testing against benchmark datasets
Privacy-first architecture ensuring proprietary data remains strictly isolated
Methodical execution from requirements to handoff
Boundary Definition
Define deterministic task boundaries, acceptable error thresholds, and human-in-the-loop triggers.
Pipeline Architecture
Design chunking, embedding, vector retrieval, and prompt guardrails for grounded generation.
Evaluation & Benchmarking
Run automated evaluations on real document samples to measure precision, recall, and hallucination rate.
Production Hardening
Implement structured telemetry, token budget bounding, fallback handlers, and observability.
Operating standards and non-negotiables
- ✓Zero hallucination tolerance for critical research data: all claims must cite source chunks
- ✓Fail-closed behavior: systems route ambiguous cases to human specialists rather than guessing
- ✓No proprietary client data used for model fine-tuning or external training
Representative Case Studies
Global Field Research Data Suite
Enterprise SurveyCTO, ODK & XLSForm field data collection infrastructure powering 600+ complex surveys across health, agriculture, and socio-economic research.
Morsel Research Web & Cloud Data Hub
Corporate web portal, secure research repository, and digital field operations infrastructure for India's premier primary data collection & public policy research consultancy.
Have requirements for ai systems?
All inquiries are reviewed directly by Shobhit Kumar Prabhakar. I usually respond within one business day.