You will get robust API backend applications in Node.js and Golang
Project details
You will get robust backend APIS created for you in either Node.js or Golang (Gin framework). You can either have a simple application with database queries or have third party APIS integrated including API documentation (better than just Postman APIS) created separately for frontend developer . Also if you want your application to be developed using Serverless Framework , its also a choice (using Node.js)
Web Programming Project
API DevelopmentProgramming Languages
JavaScript, GoCoding Expertise
Performance OptimizationWhat's included
| Service Tiers |
Starter
$30
|
Standard
$80
|
Advanced
$120
|
|---|---|---|---|
| Delivery Time | 7 days | 20 days | 45 days |
Number of Revisions | 1 | 0 | 0 |
Source Code | - |
About Huzaifa
Full Stack Engineer | React.js| Node.js | PostgreSQL | MongoDB | AWS
Daska Kalan, Pakistan - 3:59 am local time
Frontend Technologies:
✅ Vue.js
✅ React.js
✅ Angular 12
✅ Redux
✅ Material UI
✅ Bootstrap
✅ HTML
✅ CSS
✅ TypeScript
✅ RxJS
✅ Electron.js
Backend Technologies:
✅ Node.js
✅ Express.js
✅ NestJS
✅ Laravel
✅ FastAPI (lightweight and gaining traction fast in Python backend work)
✅ GraphQL
✅ gRPC (high-performance RPC framework, great for microservices)
✅ Microservices Architecture
✅ RESTful & Event-Driven APIs
✅ WebSockets & Real-time Communication
✅ MongoDB
✅ DynamoDB
✅ PostgreSQL
✅ Redis (for caching and queues)
✅ Apache Kafka (real-time data pipelines, often in microservices)
✅ RabbitMQ (popular message broker with lower dev saturation than Kafka)
✅ Twilio (SMS, Voice, and WhatsApp APIs)
✅ Prisma ORM (modern, type-safe database ORM for Node.js)
✅ Sequelize (popular but still underrepresented ORM for SQL DBs)
✅ Supabase (open-source Firebase alternative, rising in popularity)
DevOps & Tools:
✅ AWS
✅ Docker
✅ GitHub
✅ GitLab
✅ VS Code
AI & Machine Learning:
✅ Python
✅ TensorFlow
✅ PyTorch (growing fast, slightly fewer devs than TensorFlow)
✅ Scikit-learn
✅ OpenAI API
✅ LangChain (powerful for building LLM-based apps)
✅ Vector Databases (Pinecone, Weaviate, FAISS)
✅ AI-powered chatbots (Dialogflow, Rasa, Botpress)
✅ NLP (spaCy, NLTK, HuggingFace Transformers)
✅ Recommendation systems
✅ Computer Vision (YOLOv8, OpenCV, Detectron2)
✅ Prompt Engineering
✅ Time Series Forecasting (Prophet, ARIMA)
✅ MLOps (MLflow, DVC, Kubeflow)
✅ Reinforcement Learning (Stable-Baselines3, RLlib)
✅ LLM Fine-Tuning & Retrieval-Augmented Generation (RAG)
I’m passionate about delivering clean, lightweight, and powerful solutions that not only meet technical requirements but also create real business value
Steps for completing your project
After purchasing the project, send requirements so Huzaifa can start the project.
Delivery time starts when Huzaifa receives requirements from you.
Huzaifa works on your project following the steps below.
Revisions may occur after the delivery date.
Filters out credentials , continue development
Will look through whole app and identify the third party credentials that will be required for usage in the application , these will be discussed with the client either during the development or after the other parts of applications are done .