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Leadership · Team lead

Hardik Devmurari

AI Agent & ML Engineer — AI Agents, MCP & Machine Learning

Builds AI agents that reason over context, use tools, remember what matters, and hand off to a human when needed — choosing the agent pattern from the business problem. On the ML side, picks and evaluates models, fine-tunes when prompt, RAG, and tools aren't enough, and tests agents against golden datasets before they ship.

Best forAI agents and multi-agent systems, MCP tool integrations, agent memory, and ML work: model evaluation, fine-tuning, and open-source models.

01

Expertise

What Hardik works in day to day.

AI agents

  • LangGraph
  • Tool calling
  • Multi-agent systems
  • Human-in-the-loop
  • Agent memory

MCP & tools

  • MCP servers & clients
  • CRM & calendar tools
  • Internal API tools
  • Tool permissions

Machine learning

  • Model selection
  • Fine-tuning (LoRA / QLoRA)
  • Open-source models
  • Embeddings
  • Ollama / vLLM

Evaluation

  • Golden datasets
  • Tool-call evaluation
  • Hallucination checks
  • Regression testing
  • Model comparison
02

Typical engagements

The projects Hardik leads for our clients.

  1. 01AI employees
  2. 02AI operations agents
  3. 03Multi-agent platforms
  4. 04MCP servers for internal tools
  5. 05Research agents
  6. 06Model fine-tuning
  7. 07Agent evaluation suites
  8. 08Self-hosted model setups
03

Leadership

One team, six specialisms.

Every project gets the right lead for each part — solution architecture, agents and ML, automation and data, security and cloud, product and engineering, and delivery.

Meet the whole team
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