You will get OpenClaw | NemoClaw Deployment + MCP Integration + AI Agent Skills
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Project details
You get a production-ready Claw AI agent deployed on your own infrastructure, wired into your stack, and trained on your business logic.
Deployment: I deploy OpenClaw, TrustClaw, ZeroClaw, NanoClaw and NemoClaw on any infra, or your BYO VPC. Every install is hardened with Docker sandbox, OAuth-only secrets, Tailscale access and full audit logging.
MCP & Connectors: Custom MCP servers connect Gmail, Slack, Notion, Salesforce, Stripe, PostgreSQL, S3 and 1000+ more via Composio and TrustClaw. OAuth-scoped, sandboxed and audited at every call.
Custom Skills: I build proprietary skills that encode your business logic directly into the agent. Underwriting playbooks, RFP templates, compliance rules, support triage routing and any workflow your team repeats daily.
Security: NemoClaw and DefenseClaw enforce sandbox isolation, deny-default network rules, no telemetry and SOC2-aligned posture. Your data never leaves your perimeter.
Deliverables
1.Deployed and running Claw agent on your infra
2.MCP gateway wired to your tools
3. Custom skills built for your workflows
5. Written runbook and post-delivery support
Message me with your infra and use case. I will scope it within 24 hours.
Deployment: I deploy OpenClaw, TrustClaw, ZeroClaw, NanoClaw and NemoClaw on any infra, or your BYO VPC. Every install is hardened with Docker sandbox, OAuth-only secrets, Tailscale access and full audit logging.
MCP & Connectors: Custom MCP servers connect Gmail, Slack, Notion, Salesforce, Stripe, PostgreSQL, S3 and 1000+ more via Composio and TrustClaw. OAuth-scoped, sandboxed and audited at every call.
Custom Skills: I build proprietary skills that encode your business logic directly into the agent. Underwriting playbooks, RFP templates, compliance rules, support triage routing and any workflow your team repeats daily.
Security: NemoClaw and DefenseClaw enforce sandbox isolation, deny-default network rules, no telemetry and SOC2-aligned posture. Your data never leaves your perimeter.
Deliverables
1.Deployed and running Claw agent on your infra
2.MCP gateway wired to your tools
3. Custom skills built for your workflows
5. Written runbook and post-delivery support
Message me with your infra and use case. I will scope it within 24 hours.
AI Algorithms
Generative Adversarial Network, Large Language Model, Multimodal Large Language Model, YOLOAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, Conversational AI, Image Recognition, Machine Translation, Natural Language Understanding, Neural Machine Translation, Object Detection, Sentiment Analysis, Speech Synthesis, Synthetic Data GenerationAI Development Language
PythonAI Models
ChatGPT, DALL-E, GPT-4, LLaMA, Midjourney AI, OpenAI Codex, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$200
|
Standard
$400
|
Advanced
$900
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 15 days |
Number of Revisions | 1 | 1 | 2 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | - | |
Model Documentation | - | - | |
Model Monitoring | - | - | |
Model Testing & Optimization | - | - | - |
Model Tuning | - | ||
Natural Language Processing | |||
NLP Tokenization | |||
Pre-Training | - | - | - |
Prompt Engineering | - | ||
Setup File | - | - | - |
Source Code | - | - | - |
Frequently asked questions
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KO
Kirsty O.
Jun 21, 2026
60 minute consultation
Thanks very much, Mitul, for your help with coaching me to use Claude Cowork
PJ
Pj J.
Jun 5, 2026
AI Image Analysis Tool
Mitul did a great job building a custom AI-powered analysis tool with some complex requirements. I look forward to working with him again in the future.
KO
Kirsty O.
Jun 3, 2026
30 minute consultation
Thank you, Mitual for helping me to resolve the frustrating issue I had accessing my Claude account. I very much appreciate your patience and knowledge in supporting me to fix the problem with my computer and look forward to working with you again
DC
Dat-A-Ccurate C.
May 21, 2026
30 minute consultation
This was my first interaction with Mitul and all I can say is - I definitely see a long term engagement with him.
He's very clear about his thoughts and doesn't compromise on quality, has very good experience and carries proficient expertise in AI/ML.
He's very clear about his thoughts and doesn't compromise on quality, has very good experience and carries proficient expertise in AI/ML.
SA
Sanchit A.
May 16, 2026
[CLOSED] AI agent developer
Mitul is great to work with. His main objective is to help you get what you want. My project went beyond what we had initially scoped given the ever-changing AI space. Mitul was always available for brainstorming and kind enough to accommodate requests that were reasonable. Will definitely work with him again!
About Mitul
Expert AI Engineer, Automation & AI Agent Architect, LLM, Claude
100%
Job Success
Surat, India - 3:55 pm local time
Over 6 years, I have consulted and worked with startups and enterprise companies as Founding AI Engineer. I have engineered data and machine learning models, LLM-powered applications, autonomous multi-agent systems, RAG pipelines, intelligent chatbot and automations for clients across SaaS, Startups and Enterprise companies. I have taken AI products from initial architecture to live deployment, published peer-reviewed AI research, and fine-tuned open-source models for domain-specific business use cases across industries.
What I Build
AI Agents & Agentic Workflows
- Multi-agent systems using LangChain, LlamaIndex, AutoGen, CrewAI
- Autonomous agents with persistent state management on AWS and Azure
- End-to-end pipelines: data ingestion → reasoning → action → CRM/ERP update
- Human-in-the-loop workflows for approvals, exceptions, and escalations
- Tool-calling agents integrated into Slack, WhatsApp, and web platforms
RAG Systems & Knowledge Pipelines
- Retrieval-Augmented Generation across Pinecone, Qdrant, FAISS, Milvus, PGVector, ChromaDB
- Document ingestion pipelines: PDFs, Excel, emails, forms → structured, searchable data
- Semantic search and recommendation systems built on vector databases
- Hybrid retrieval combining dense embeddings and BM25 for high-accuracy results
LLM Development & Fine-Tuning
- Fine-tuning LLaMA 3, Mistral, DeepSeek, Gemma using LoRA, QLoRA, PEFT, RLHF
- Prompt engineering: multi-turn, few-shot, zero-shot, chain-of-thought
- Model deployment on AWS SageMaker, RunPod, GCP AI Platform
- Inference optimization for low-latency, high-throughput production environments
- OpenAI GPT-4o, Claude, Gemini, Amazon Bedrock, Ollama, HuggingFace
Voice AI & Conversational Systems
- Voice agents using Vapi, Deepgram, Whisper, Amazon Polly, Azure AI Speech
- Speech-to-Text and Text-to-Speech pipelines for real-time applications
- Chatbots with natural multi-turn dialogue and memory
- Voiceflow, Make, and low-code AI integrations for rapid deployment
Full-Stack Development
- Backend: Python (FastAPI, Django, Flask), Node.js (Express, NestJS)
- Frontend: React.js, Next.js, TypeScript, Tailwind CSS
- Databases: PostgreSQL, MongoDB, MySQL, Redis
- Cloud: AWS, Azure | Containerisation: Docker, Kubernetes
- REST APIs, GraphQL, Microservices architecture
Third-Party & Platform Integrations
- SAP, Voiceflow, Make, Vapi and 10+ enterprise API integrations
- CRM, ERP, Google Workspace, and Slack workflow automation
- Payment gateways, webhooks, and data pipeline orchestration
Proven Results
- Built LLM-powered multimodal search and recommendation systems deployed at production scale
- Fine-tuned domain-specific models that outperformed generic LLMs on client use cases
- Shipped AI-integrated SaaS products from 0 to market with live user bases
- Published peer-reviewed AI research and contributed to open-source LLM tooling
- Integrated AI into enterprise workflows across SAP, Voiceflow, Make, and Vapi ecosystems
Technical Stack
- LLMs & AI: LangChain, LlamaIndex, AutoGen, CrewAI, OpenAI, Claude, LLaMA 3, Mistral, DeepSeek, Gemini, Ollama, Amazon Bedrock, HuggingFace
- Vector DBs: Pinecone, Qdrant, FAISS, Milvus, ChromaDB, PGVector
- Backend: Python, FastAPI, Django, Flask, Node.js, Express, NestJS
- Frontend: React.js, Next.js, TypeScript, Tailwind CSS
- Cloud & Infra: AWS, Azure, Docker, Kubernetes, PostgreSQL, MongoDB, Redis
- Fine-Tuning: LoRA, QLoRA, PEFT, RLHF, SageMaker, RunPod
I am a good fit if
- You want clear ROI, not just experimentation
- You already have operations running (team, leads, data)
- You’re ready to implement AI into real workflows
- You want results in weeks, not months
I am not fit if
- You’re exploring AI “just to try it”
- Price matters more than outcomes
- No clear use-case or business objective
- Not ready to execute fast
Why Founders and Enterprise Work With me
- I think like partners, not developers
- I focus on outcomes first, AI second
- I build systems that integrate into your business (not sit outside it)
- Fast execution with clear milestones and measurable impact
Looking to scale operations, cut manual overhead, or drive revenue through AI? Message me.
I will assess your workflow, pinpoint the highest-impact opportunities, and give you a clear build plan.
Steps for completing your project
After purchasing the project, send requirements so Mitul can start the project.
Delivery time starts when Mitul receives requirements from you.
Mitul works on your project following the steps below.
Revisions may occur after the delivery date.
Consultation call
In this step, we will more go into detail about your business or use case which you want to build, and scope the requirements. Also, you need to provide me or I can help you to build the infra.
Deployment
After understanding your use case, I will deploy and based on the discussion and scope, I would add it.