You will get Personalized LLM Fine-Tuned for Your Business Requirements!

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

Let a pro handle the details

Buy Generative AI 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 Generative AI services from Mitul, priced and ready to go.

Project details

Need an AI that truly understands your business? Im here to help!

I specialize in fine-tuning large language models (LLMs) using your unique data, transforming them into domain-specific experts. Whether its answering questions, generating content, or providing insights, your customized LLM will perform like a seasoned professional in your field.

Say goodbye to generic, one-size-fits-all models. With my service, your LLM will be trained to excel in your specific industry, delivering precise, relevant, and expert-level responses.

Unlock the full potential of AI for your business lets create an LLM that works just for you!
AI Algorithms
Autoencoder, Convolutional Neural Network, Feedforward Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Recurrent Neural Network, Transformer Model, YOLO
AI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI Text-to-Image, AI Text-to-Speech, AI-Generated Code, AIOps, Conversational AI, Natural Language Understanding, Sentiment Analysis, Speech Synthesis, Time Series Forecasting
AI Development Language
Python
AI Tools
Azure OpenAI, Bing AI, Gradio, Hugging Face, Jasper AI, Microsoft CNTK, PyTorch, Replit, Streamlit, TensorFlow
AI Models
BERT, BLOOM, ChatGPT, Dolly, GPT-4, GPT-J, LaMDA, LLaMA, Midjourney AI, OpenAI Codex, Stable Diffusion, Whisper
What's included
Service Tiers Starter
$200
Standard
$500
Advanced
$800
Delivery Time 1 day 2 days 2 days
Number of Revisions
246
AI Model Integration
Batch Normalization
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Database Integration
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Detailed Code Comments
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Image Upscaling
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MLOps
Model Deployment
Model Documentation
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Model Monitoring
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Model Testing & Optimization
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Model Tuning
Natural Language Processing
NLP Tokenization
Pre-Training
-
Prompt Engineering
Setup File
Source Code
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 - 8:06 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.

Requirements review and discussion about the exact outcome.

In this step, I would review all the requirements by the client, and discuss the exact outcome with my approach. If any dependencies are needed, it should be provisioned by them.

Architecture and Development

As soon as we got an exact outcome on our discussion, I would start development by defined and discussed software architecture.

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