You will get Custom AI Agent with ChatGPT, Claude & LLM Integration

5.0

Let a pro handle the details

Buy Generative AI services from Mukesh, priced and ready to go.
5.0

Let a pro handle the details

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

Project details

You will get a custom AI solution designed to streamline tasks, enhance user interactions, or automate workflows. With experience in building intelligent chatbots and automation systems, I focus on creating solutions that are efficient, scalable, and easy to use. Every project is tailored to your specific needs, ensuring high-quality, reliable, and original results.
AI Algorithms
AdaBoost, AlexNet, CycleGAN, Deep Belief Network, Generative Adversarial Network, Linear Discriminant Analysis, Multilayer Perceptron, Regression Analysis, StyleGAN, Transformer Model
AI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Medical Imaging, AI-Generated Video, Conversational AI, Facial Recognition, Speech Synthesis, Text Recognition, Time Series Forecasting
AI Development Language
Python
AI Tools
Adobe Firefly, Azure OpenAI, Bing AI, GitHub Copilot, Hugging Face, Jasper AI, PyTorch, Replit, Streamlit, TensorFlow
AI Models
AlphaCode, BERT, BLOOM, DALL-E, Dolly, GPT-4, Jurassic-2, LaMDA, LLaMA, Midjourney AI, Stable Diffusion, Whisper
What's included
Service Tiers Starter
$200
Standard
$450
Advanced
$750
Delivery Time 4 days 7 days 12 days
Number of Revisions
444
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
5.0
5 reviews
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DV

Dengo V.
5.00
Apr 18, 2021
Gatsby specialist He is a very fast and experienced developer. I will hire you again. Thanks!

DV

Dengo V.
5.00
Mar 3, 2021
ReactJS/Firebase Developer Mukesh is a great programmer and professional. It's very easy to work with him. He always reaches the best point in their objectives. Thank you, Mukesh

CS

Chris S.
5.00
Feb 28, 2021
React web app - help with ad-hoc bug fixes

DV

Dengo V.
5.00
Jan 11, 2021
React Native Developer Mukesh is a great programmer and It's very easy to work with him. I will definitely use him again in the future!

AK

Anuj K.
5.00
Dec 1, 2019
ReactJS/React Native Developer Mukesh did an excellent job and was competent in dealing with the various steps of our project. We highly recommend Mukesh for anyone looking for quality work in ReactJS/React Native and will be using his skills in our next project. Thanks
Mukesh S.Status: Offline

About Mukesh

Mukesh S.Status: Offline
AI Engineer | Full Stack | Voice AI | LLM | AI Agent | RAG I n8n I MCP
5.0  (5 reviews)
Bihar Sharif, India - 2:07 am local time
Senior Full-Stack Developer & AI Engineer I Voice AI | LLM | AI Agent | RAG I n8n I MCP I Chatbots I AWS

I am Mukesh Kumar, a Senior Full-Stack Developer and AI Engineer with 9+ years of experience in software engineering and 4+ years of expertise in Artificial Intelligence, Large Language Models (LLMs), and Generative AI. I help startups and enterprises build intelligent, scalable, and production-ready applications that solve complex business challenges.

I specialize in developing AI Agents, Agentic AI systems, LLM-powered applications, and Retrieval-Augmented Generation (RAG) solutions using LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, and the OpenAI Agents SDK. I have hands-on experience with leading foundation models, including GPT-4o, Claude, Gemini, Llama, Mistral, Amazon Bedrock, and Ollama.

My expertise includes prompt engineering, tool calling, structured outputs, multi-agent orchestration, AI workflow automation, and LLM fine-tuning using LoRA, QLoRA, RLHF, and DPO. I also optimize LLM inference with vLLM, TensorRT-LLM, and TGI, and implement efficient model quantization using AWQ, GPTQ, and GGUF.

I design scalable RAG pipelines using Pinecone, FAISS, ChromaDB, Qdrant, and Weaviate, along with semantic search, hybrid search, document intelligence, knowledge management systems, synthetic data generation, and LLM evaluation frameworks for reliable production deployments.

On the backend, I build secure, scalable APIs and microservices using Python (FastAPI, Django, Flask), Node.js, and GraphQL, with extensive experience in Docker, Kubernetes, Redis, CI/CD, and cloud platforms including AWS, Google Cloud Platform (GCP), and Microsoft Azure. My database expertise includes PostgreSQL, MySQL, MongoDB, and Firebase.

On the frontend, I develop modern, responsive applications using React.js, Next.js, Vue.js, Nuxt.js, TypeScript, JavaScript, and Tailwind CSS, delivering high-performance SPAs, PWAs, dashboards, and enterprise SaaS applications.

Throughout my career, I have built AI chatbots, enterprise copilots, document intelligence platforms, AI search systems, workflow automation solutions, SaaS products, CRM applications, and custom web platforms that improve efficiency, streamline operations, and deliver measurable business value.

I am passionate about combining Full-Stack Development, Artificial Intelligence, and Generative AI to create secure, scalable, and production-ready solutions that accelerate digital transformation and drive innovation.

Warm regards,

Mukesh Kumar
Senior Full-Stack Developer | AI Engineer | Generative AI & LLM Specialist

Steps for completing your project

After purchasing the project, send requirements so Mukesh can start the project.

Delivery time starts when Mukesh receives requirements from you.

Mukesh works on your project following the steps below.

Revisions may occur after the delivery date.

Requirements & Architecture Planning

Detailed discussion of your use case, data sources, and integrations. I'll create a technical architecture document and project roadmap for your approval before development begins.

Testing & Refinement

Comprehensive testing of the AI agent with real scenarios. I'll fine-tune prompts, optimize responses, and ensure all integrations work smoothly based on your feedback.

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