You will get ChatGPT Expert, OpenAI API Integration, and Open AI Agent developer
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Top Rated
Project details
⚠️ NOTE: Prior to placing an order, it's crucial to discuss your requirements which could be unique or customized or extendable via Upwork chat.
All tasks related to OpenAI Agents Development, OpenAI Integration, Prompt engineering, document analysis and RAG will be billed at a rate of $20 per hour. Fixed pricing options can be provided after further communication through Upwork messages.
I provide the following services:
1. Custom built OpenAI Agents: I design AI agents tailored to your specific needs and brand, ensuring they seamlessly align with your goals.
2. Enhancing AI Agents with Natural Language Processing (NLP): Using cutting-edge NLP, your AI agent will understand and respond to natural language, creating a human-like conversational experience.
3. Integrating OpenAI or other LLMs model in your existing system: By understanding your requirements and outcome, I would give you plan and prompt to achieve your outcome along with the development and source code.
4. Knowledge Base Development: We'll work together to build a comprehensive knowledge base, empowering your AI agent with the information needed to deliver accurate responses and guidance.
All tasks related to OpenAI Agents Development, OpenAI Integration, Prompt engineering, document analysis and RAG will be billed at a rate of $20 per hour. Fixed pricing options can be provided after further communication through Upwork messages.
I provide the following services:
1. Custom built OpenAI Agents: I design AI agents tailored to your specific needs and brand, ensuring they seamlessly align with your goals.
2. Enhancing AI Agents with Natural Language Processing (NLP): Using cutting-edge NLP, your AI agent will understand and respond to natural language, creating a human-like conversational experience.
3. Integrating OpenAI or other LLMs model in your existing system: By understanding your requirements and outcome, I would give you plan and prompt to achieve your outcome along with the development and source code.
4. Knowledge Base Development: We'll work together to build a comprehensive knowledge base, empowering your AI agent with the information needed to deliver accurate responses and guidance.
Programming Languages
JavaScript, Python, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$99
|
Standard
$249
|
Advanced
$499
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
Design Customization | - | - | - |
Content Upload | - | - | |
Responsive Design | - | - | - |
Source Code |
Frequently asked questions
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MM
Matty M.
Aug 10, 2026
ChronoScout ai model dev
Mitul performed outstanding design and development across five of our products, we look forward to working with him when updating our product suite.
DG
Daniel G.
Jul 21, 2026
Senior Data Scientist - LLM Finetuning
BN
Brad N.
Jul 19, 2026
AI Agent and app development
Amazing to work with. Takes the initiative and helps fill in the gaps.
KO
Kirsty O.
Jul 15, 2026
Claude enablement project
Mitul is very knowledgeable about Claude Cowork and he provided helpful advice during our coaching session.
KO
Kirsty O.
Jun 21, 2026
60 minute consultation
Thanks very much, Mitul, for your help with coaching me to use Claude Cowork
About Mitul
Expert AI Engineer & Architect | Enterprise RAG & AI Agents, Claude
100%
Job Success
Surat, India - 2:26 am local time
Over the past 6+ years, I have worked with startups and enterprises to design, build, and deploy production-grade AI products from architecture through implementation.
My expertise spans AI agents, enterprise knowledge systems, LLM applications, fine-tuning, AI-powered SaaS, voice AI, workflow automation, and cloud architecture across AWS and Azure.
What I Build
AI Agents & Automation
- AI agents and multi-agent systems using LangChain, LangGraph, LlamaIndex, AutoGen, and CrewAI
- Tool-calling agents integrated with APIs, CRM, ERP, Slack, WhatsApp, and enterprise platforms
- Persistent memory, human-in-the-loop approvals, exception handling, and autonomous workflows
- End-to-end automation from data ingestion and reasoning to business actions
Enterprise RAG & Intelligence Systems
- Enterprise knowledge layers across documents, databases, APIs, SharePoint, CRM, ERP, emails, and internal systems
- RAG and hybrid search using Pinecone, Qdrant, PGVector, Milvus, FAISS, and BM25
- Grounded AI assistants with citations, permissions, access control, and source-aware responses
- Intelligence systems that convert enterprise knowledge into insights, recommendations, and automated actions
LLM Development & Fine-Tuning
- OpenAI, Claude, Gemini, LLaMA, Mistral, DeepSeek, Amazon Bedrock, and Hugging Face
- Fine-tuning using LoRA, QLoRA, PEFT, and custom domain datasets
- Model evaluation, prompt engineering, inference optimization, and production deployment
- Deployment on AWS SageMaker, Azure, GCP, RunPod, Ollama, and containerized infrastructure
AI-Powered SaaS Development
- End-to-end SaaS development from architecture and MVP to production
- Backend: Python, FastAPI, Django, Flask, Node.js, Express, NestJS
- Frontend: React.js, Next.js, TypeScript, Tailwind CSS
- Multi-tenant architecture, authentication, RBAC, subscriptions, billing, and usage limits
- REST APIs, GraphQL, microservices, background jobs, queues, webhooks, and real-time systems
- PostgreSQL, MongoDB, MySQL, Redis, and vector database integrations
AWS, Azure & Cloud Architecture
- Enterprise AI and cloud architecture across AWS and Microsoft Azure
- Serverless, containerized, microservice, and event-driven systems
- Cloud migration, application modernization, and architecture redesign
- Cost optimization through workload right-sizing, caching, asynchronous processing, and serverless architecture
- Secure architectures covering IAM, networking, observability, monitoring, and governance
- Docker, Kubernetes, CI/CD, scalable deployment, and production infrastructure
Voice AI & Enterprise Integrations
- Voice agents using Vapi, Deepgram, Whisper, Amazon Polly, and Azure AI Speech
- Voice automation for support, sales, qualification, and scheduling
- CRM, ERP, SAP, Google Workspace, Slack, payment gateways, and third-party API integrations
Business Problems I Solve
- Build AI-powered SaaS products from idea to production
- Create enterprise AI assistants across documents, databases, and business systems
- Automate repetitive workflows using AI agents
- Build RAG and enterprise knowledge platforms
- Fine-tune and deploy domain-specific LLMs
- Build real-time voice AI systems
- Integrate AI into existing SaaS, CRM, ERP, and enterprise workflows
- Modernize and migrate applications to AWS or Azure
- Reduce cloud and AI infrastructure costs
- Design scalable event-driven and asynchronous systems
Proven Experience
- Built production LLM applications, AI agents, and enterprise RAG systems
- Fine-tuned domain-specific models for business use cases
- Shipped AI-powered SaaS products from architecture to live deployment
- Designed cloud-native and event-driven systems on AWS and Azure
- Built multimodal search, recommendation, conversational, and automation systems
- Published peer-reviewed AI research and contributed to open-source LLM tooling
Certification
OpenAI Consultative Solutions Practitioner
AI Agents by HuggingFace
Generative AI by Databricks
Why Clients Work With Me
- I focus on business outcomes before choosing AI technology
- I can own AI, backend, frontend, cloud, integrations, and deployment
- I design production systems, not isolated AI prototypes
- I prioritize scalability, security, reliability, cost efficiency, and measurable impact
If you are building an AI product, automating workflows, creating an enterprise intelligence layer, or integrating AI into an existing SaaS platform, send me a message.
I will review your use case, identify the right architecture, and provide a practical implementation 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.
Requirement analysis with technical documentation
Requirements are analysed as soon as it comes from you. Then, I would create technical specification with architecture diagram and implementation frameworks.
Technical implementation
As soon as, technical specification verified with the client, I would start implement it by given timeline by making sure each and every requirements are implemented along with non-functional requirements.