You will get a Web App using NextJS | Next | NextJS Developer | Figma to Next
Project details
You will get a robust, scalable, mobile-friendly and user-friendly app using NextJS. I have developed many web apps in every domain and have good command over the code and tech stacks.
Programming Languages
HTML & CSS, JavaScript, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, DesignWhat's included
| Service Tiers |
Starter
$80
|
Standard
$400
|
Advanced
$700
|
|---|---|---|---|
| Delivery Time | 1 day | 7 days | 12 days |
Number of Revisions | 2 | 4 | 6 |
Number of Pages | 1 | 5 | 8 |
Design Customization | |||
Content Upload | |||
Responsive Design | |||
Source Code |
About Anuj
AI Full Stack I AI Agents I n8n I RAG I Voice AI I LLM I Chatbot I MCP
Ghaziabad, India - 3:57 am local time
With over a 9 of experience in the tech industry, I have established myself as a proficient full-stack developer with a strong command of Node.js, Python, VueJS, and ReactJS. For the past 6 years, I have been instrumental in developing high-throughput applications using Python and Node.js for a Series C startup, gaining deep insights into the entire engineering stack.
🔬 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
🏆 RECENT CLIENT WINS PROJECTS:
✅ NxtConnect (Enterprise) - GraphRAG with natural language querying. Result: 40% better insights, predictive analytics, Neo4j integration
✅ Brown Haven (Property) - Conversational AI with Pinecone RAG. Result: 100+ daily conversations, integrated with MLS, 24/7 availability
✅ Multi-Agent Customer Support AI - Built a multi-agent system using GPT-4 & LLaMA 3 for Slack, email, and Twilio, enabling contextual, automated customer support with escalation logic.
✅ QalifAI (Real Estate) - Voice AI qualifying leads 24/7. Result: 40+ brokerages on waitlist, 38% qualification rate, 10× conversion boost
✅ AI Frank (Legal Tech) - RAG-powered contract generator over 5k precedents. Result: 700+ contracts, 8-second generation, $0.09/document cost
✅ RAG Knowledge Base Chatbot - Created a retrieval-augmented chatbot for legal & medical domains using LangChain and Pinecone, delivering accurate, persona-aligned answers.
✅ AI Voice Assistant Prototype - Developed a voice assistant with Whisper + GPT-4 + Polly for dynamic commands, report reading, and real-time interactive speech responses.
✅ AI Automation Workflow (n8n)
Designed AI-driven pipelines connecting Google Drive, Notion & Slack with GPT-4 content generation and reusable workflow templates for efficient automation.
✅ AI Video Generation & Storytelling
Produced short-form marketing & demo videos using Runway, Pika Labs, and Descript with AI-assisted scripting, scene planning, and editing.
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.
Analyzing the requirements
Project setup component architecture Data fetching