You will get a production-ready AI Agent, RAG or LLM application
Top Rated
Top Rated
Project details
I will design and build a production-ready AI Agent, RAG system, or LLM-powered application for your business or SaaS product.
I am an Expert-Vetted Top 1% AI Engineer & Architect with 6+ years of experience building AI Agents, enterprise RAG systems, LLM applications, SaaS products, model integrations, and production AI infrastructure.
I can build solutions such as:
1. AI Agents and Agentic AI workflows
2. RAG and enterprise knowledge assistants
3. LLM-powered SaaS applications
4. Document intelligence systems
5. AI search and recommendation systems
6. Multi-agent workflows
7. CRM, ERP, API, and business system integrations
I work with OpenAI, Claude, Gemini, LLaMA, LangChain, LangGraph, Qdrant, Pinecone, PGVector, AWS, Azure, FastAPI, Node.js, React, and Next.js.
My focus is not just creating a demo. I design AI systems with production requirements in mind, including retrieval quality, evaluation, security, scalability, latency, integrations, observability, and cloud cost.
Before development, I will understand your use case and recommend the right architecture, whether that requires RAG, AI Agents, fine-tuning, workflow automation, or a combination of approaches.
I am an Expert-Vetted Top 1% AI Engineer & Architect with 6+ years of experience building AI Agents, enterprise RAG systems, LLM applications, SaaS products, model integrations, and production AI infrastructure.
I can build solutions such as:
1. AI Agents and Agentic AI workflows
2. RAG and enterprise knowledge assistants
3. LLM-powered SaaS applications
4. Document intelligence systems
5. AI search and recommendation systems
6. Multi-agent workflows
7. CRM, ERP, API, and business system integrations
I work with OpenAI, Claude, Gemini, LLaMA, LangChain, LangGraph, Qdrant, Pinecone, PGVector, AWS, Azure, FastAPI, Node.js, React, and Next.js.
My focus is not just creating a demo. I design AI systems with production requirements in mind, including retrieval quality, evaluation, security, scalability, latency, integrations, observability, and cloud cost.
Before development, I will understand your use case and recommend the right architecture, whether that requires RAG, AI Agents, fine-tuning, workflow automation, or a combination of approaches.
AI Algorithms
Autoencoder, Generative Adversarial Network, Large Language Model, Multimodal Large Language Model, Recurrent Neural Network, Transformer Model, YOLOAI Applications
AI Chatbot, AI Mobile App Development, AI Text-to-Speech, Automatic Speech Recognition, Conversational AI, Facial Recognition, Image Analysis, Image Processing, Neural Machine Translation, Object Detection, Sentiment Analysis, Synthetic Data GenerationAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, NVIDIA AI Platform, PyTorch, Replit, Streamlit, TensorFlow, Word2vecAI Models
BERT, ChatGPT, GPT-Neo, LLaMA, OpenAI Codex, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,500
|
Advanced
$3,500
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 15 days |
Number of Revisions | 0 | 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 |
Optional add-ons
You can add these on the next page.
Extra API / tool integration
(+ 1 Day)
+$100
Evaluation & testing suite
(+ 2 Days)
+$200
AWS/Azure production deployment
(+ 2 Days)
+$200
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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/ML Engineer | AI Agents, GenAI, RAG, LLM, AWS, Python, SaaS
100%
Job Success
Surat, India - 5:55 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.
Use case understanding and architecture