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healer-1205/README.md

Hello, I am a senior software developer.

visitors

I am πŸ§™ Senior Full-Stack Software Engineer and πŸ† love Web development and AI solution

Welcome to my page; on my Github, you can find:

  • Projects created by me
  • Projects contributed by me

Profile Views


With over 7 years of experience and 5+ years of education in Computer Science, a Lead Full-Stack Software Engineer specializes in designing and developing web applications. Skilled in JavaScript frameworks like React, Vue, Svelte, Stencil, and Angular, and proficient with back-end technologies such as Node, Go, and Python, this role focuses on creating scalable, efficient, and secure applications.

Highlights / Proficiencies / Interests / Believes

Highlights:

  • ⭐ total 7+ years of professional experience in full lifecycle development
  • ⭐ Delivered over 13+ projects
  • ⭐ Worked with over 4+ companies from startup to enterprise level
  • ⭐ Mentoring over 10+ individuals on how to grow their technical and leadership skills
  • ⭐ Web2 and Web3 expert, I specialize in facilitating the seamless transition from Web2 to Web3 technologies.
  • ⭐ Worked on innovative and cutting-edge projects
  • ⭐ Contribute to industry thought leadership
  • ⭐ Master new technologies, master computer science and mathematics

Proficiencies:

  • πŸ“š OpenAI, ChatGPT, WhisperX, RunPod, HuggingFace, Ollama, Pytorch, Tensorflow
  • πŸ“š JavaScript, TypeScript, Node.js with Serverless and Containers and Microservices architecture
  • πŸ“š React.js + Next.js + SSR/CSR + Prisma + Vercel
  • πŸ“š Vue.js + Nuxt.js + SSR/CSR + TypeOrm + Cloudflare
  • πŸ“š Svelte and Stencil + Storybook + Web Components
  • πŸ“š SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB, DynamoDB, Redis)
  • πŸ“š AWS, Azure, GCP, Kubernetes, Docker, Nginx
  • πŸ“š Go lang, Python/Flask/Django/FastAPI
  • πŸ“š HTML5/CSS3 + Canvas + WebGL + Animation
  • πŸ“š Agile, Scrum, Kanban
  • πŸ“š Web2/Web3 startups
  • πŸ“š Cryptography (cryptocurrency and blockchain)
  • πŸ“š Team Leadership
  • πŸ“š Project Leadership

Interests:

  • βœ”οΈ Self-education and self-development: Continuously seek opportunities for personal growth, self-improvement, and acquiring new knowledge and skills to stay at the forefront of industry trends and advancements.
  • βœ”οΈ Family: Place great importance on nurturing and cherishing family bonds, fostering strong relationships, and maintaining a healthy work-life balance to support personal well-being and fulfillment.
  • βœ”οΈ Sport (gym, padel tennis, crossfit): Engage in physical activities such as gym workouts, padel tennis, and crossfit, recognizing the importance of maintaining an active and healthy lifestyle to enhance productivity, focus, and overall well-being.

A big believer in:

  • πŸ’‘ Power of continuous learning and personal growth
  • πŸ’‘ Importance of cultivating a positive mindset and embracing optimism
  • πŸ’‘ Value of hard work and perseverance in achieving success
  • πŸ’‘ Power of empathy and kindness in fostering meaningful connections and creating a harmonious society
  • πŸ’‘ Importance of ethical behavior and integrity in all aspects of life

πŸ₯‡ Primary technology stack

Web3.js JavaScript TypeScript NodeJS React React Native React Query React Router React Hook Form Redux Remix Semantic UI React Ant-Design Chakra Next-js GraphQL Apollo-GraphQL Python jQuery AWS DigitalOcean Azure Webpack Firebase Cloudflare Docker HTML5 CSS3 MicrosoftSQLServer Git Github Actions GitHub Visual Studio Code Chart.js Express.js Expo Fastify MUI NestJS Vue.js Nuxtjs SASS Styled Components TailwindCSS Vite

πŸ₯ˆ Secondary technology stack

Angular Java Dart Flutter Clojure Svelte AdonisJS IntelliJ IDEA Deno JS Electron.js Ember Ionic Strapi

πŸ“ˆ GitHub Activity Graph:

healer's github activity graph

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healer's github stats Quiec's github stats

Trophy: Github Profile Trophy

idimetrix

graph TD;
    machine-learning-->Data;
    machine-learning-->Algorithms;
    machine-learning-->Statistical-Models;
    machine-learning-->Feature-Engineering;
    machine-learning-->Evaluation-Metrics;
    machine-learning-->Deployment;
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