You will get ChatGPT Expert, OpenAI API Integration, and Open AI Agent developer

Mitul S.Status: Offline
Mitul S.
4.9
Top Rated

Let a pro handle the details

Buy Web Application Programming services from Mitul, priced and ready to go.
Mitul S.Status: Offline
Mitul S.
4.9
Top Rated

Let a pro handle the details

Buy Web Application Programming services from Mitul, priced and ready to go.

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.
Programming Languages
JavaScript, Python, TypeScript
Coding Expertise
Cross Browser & Device Compatibility, Performance Optimization, Security
What's included
Service Tiers Starter
$99
Standard
$249
Advanced
$499
Delivery Time 2 days 5 days 10 days
Number of Revisions
123
Design Customization
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Content Upload
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Responsive Design
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Source Code

Frequently asked questions

4.9
65 reviews
92% Complete
6% Complete
2% Complete
1% Complete
(0)
1% Complete
(0)

KO

Kirsty O.
5.00
Jun 21, 2026
60 minute consultation Thanks very much, Mitul, for your help with coaching me to use Claude Cowork

PJ

Pj J.
5.00
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.
5.00
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.
5.00
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.

SA

Sanchit A.
5.00
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!
Mitul S.Status: Offline

About Mitul

Mitul S.Status: Offline
Expert AI Engineer, Automation & AI Agent Architect, LLM, Claude
100% Job Success
4.9  (65 reviews)
Surat, India - 3:30 pm local time
Expert-Vetted Top 1% AI Consultant on Upwork

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.

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.

Review the work, release payment, and leave feedback to Mitul.