You will get AI Agent Development using OpenAI, Claude, LangGraph & LangChain
Project details
You will get a production-ready AI agent built with OpenAI, Claude, LangGraph, LangChain, and Python, customized for your business needs. Whether you need a customer support assistant, workflow automation, research agent, sales assistant, or internal AI tool, I will deliver a scalable and reliable solution.
My AI agents can use external tools, connect with APIs, retrieve information from documents, maintain conversation memory, and automate complex business processes. Every project is designed with clean architecture, secure integrations, and high performance to ensure it's ready for real-world use.
The project includes source code, testing, documentation, and deployment support. I focus on delivering high-quality, maintainable solutions with clear communication and on-time delivery, helping businesses save time, improve productivity, and automate repetitive tasks.
My AI agents can use external tools, connect with APIs, retrieve information from documents, maintain conversation memory, and automate complex business processes. Every project is designed with clean architecture, secure integrations, and high performance to ensure it's ready for real-world use.
The project includes source code, testing, documentation, and deployment support. I focus on delivering high-quality, maintainable solutions with clear communication and on-time delivery, helping businesses save time, improve productivity, and automate repetitive tasks.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Azure Machine Learning, Chainer, deeplearn.js, Google AutoML, Keras, MLflow, NVIDIA AI Platform, PyBrain, Sonnet, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$200
|
Standard
$400
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 7 days |
Number of Revisions | 2 | 3 | 6 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | |||
Model Documentation | |||
Ontology | |||
Source Code | |||
Taxonomy |
About Anuj
AI & Full Stack Engineer | AI Agent | Voice AI | RAG | LangChain | n8n
Ghaziabad, India - 1:31 am local time
With 9+ years of software engineering experience and 3+ years specializing in Generative AI, I build AI Agents, Voice AI systems, RAG applications, MCP servers, intelligent workflow automation, and AI-powered web applications using OpenAI, Claude, LangChain, LangGraph, Python, FastAPI, React, and modern cloud infrastructure.
From architecture and development to deployment, I deliver scalable AI solutions that integrate seamlessly with CRMs, APIs, databases, and enterprise platforms.
🔬 AI & LLM Expertise:
➜ Fine-Tuning: Persona-based, Q&A, legal & medical domains using LLaMA 3, Mistral 7B
➜ Synthetic Dataset Generation & LLM Evaluation Frameworks
➜ Deployment: RunPod, AWS, GCP via SkyPilot (vLLM / TGI) for scalable production-ready AI
➜ AI / Voice Agents: CrewAI, AutoGen, Deepgram, Amazon Polly
🖥️ Backend Skills:
➜ Node.js, Express, Python, Django, Flask, FastAPI, NestJS
➜ Databases: MySQL, PostgreSQL, MongoDB, Firebase, Firestore
➜ Infrastructure: Redis, Docker, AWS EC2/S3, Nginx
➜ Queues & Testing: Celery, Pytest, Unittest, Selenium
➜ AI Tools: LangChain, LangServe, LangSmith, HuggingFace, Transformers
➜ Vector DBs: FAISS, Chroma, Pinecone, Qdrant
➜ No-Code Tools: Flowise AI, LangFlow, StackAI
🌐 Frontend Skills:
➜ Vue.js, Nuxt.js, React.js, Next.js, React Native
➜ HTML5, CSS3, Tailwind CSS, TypeScript, Redux
🛠 Other Tools & Technologies:
➜ Cloud: AWS, GCP, Ubuntu, CentOS
➜ AI APIs: OpenAI Whisper, ChatGPT
➜ Data Science: Scikit-learn, NumPy, Pandas, Matplotlib
🌟 Advanced AI Skills:
➜ AI Agents: CrewAI, AutoGen, Polly, Deepgram
➜ LLM Fine-Tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl
➜ Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8×7B
➜ Inference Optimization: vLLM, TGI
➜ Quantization: AWQ, GPTQ, GGUF, GGML
➜ Prompt Engineering & RAG Architectures
Let’s build something transformative together! 🚀
— Anuj Kumar
Steps for completing your project
After purchasing the project, send requirements so Anuj can start the project.
Delivery time starts when Anuj receives requirements from you.
Anuj works on your project following the steps below.
Revisions may occur after the delivery date.
AI Agent Design, Development & Delivery
I will analyze your requirements, build the AI agent with the required integrations, test its functionality, optimize performance, and deliver the complete solution with documentation and deployment support.