MOHAMMED SHAFI

Full Stack Developer

GitHub | LinkedIn

About

A results-driven Full-Stack Web Developer with expertise in Python, Django, React, and Next.js, specializing in building scalable, high-performance web applications. Proven ability to leverage AI, particularly LLMs, to automate complex processes and transform user interactions, evidenced by boosting client bookings by 70% and achieving significant application performance enhancements through strategic optimization. Eager to contribute innovative solutions and drive impactful digital experiences within a forward-thinking team.

Work Experience

Full Stack Developer

PixelBird Digital

Nov 2023 - Jul 2024

Led end-to-end development and maintenance of robust bulk messaging systems, integrating advanced APIs and AI-powered tools to optimize client communication and booking processes.

  • Led end-to-end development and maintenance of robust bulk messaging systems, integrating advanced APIs for seamless automated communications across platforms like WhatsApp and Instagram.
  • Collaborated with cross-functional teams to design and implement highly scalable and reliable architecture for bulk messaging systems, ensuring high performance and meeting diverse client demands.
  • Developed and integrated intuitive chatbot solutions for WhatsApp and Instagram, leveraging FastAPI to streamline direct hotel bookings and increase client conversions from 10% to 55%.
  • Optimized system performance through efficient algorithms and platform-specific policy compliance, resulting in 70% growth in client bookings and enhanced customer service efficiency.
  • Spearheaded the development of PRMonitor, an AI-powered tool utilizing Gemini and ChatGPT APIs to provide real-time insights for PR and marketing teams through sentiment and content analysis.

Education

Physics

Calicut University

Jan 2019 - Dec 2022

Projects

Editify

Developed an intuitive web-based image editor using Next.js, enabling users to upload existing images and perform various editing tasks. Integrated Google Gemini 2.0 Flash Exp to provide AI-assisted editing features and built the user interface with Shadcn/UI for a modern and accessible editing experience.

Chatify AI

Developed a real-time chat application using Next.js, integrating Meta's cutting-edge Llama 3.1 language model via Groq for high-performance inference. Leveraged the Vercel AI SDK to seamlessly incorporate AI capabilities, enabling sophisticated natural language processing and low-latency interactions.

Zenithcare

Developed a mental health therapy application using Python Django for a fast, reliable backend and React for a seamless, responsive frontend. Features include session scheduling, secure payment processing via Stripe integration, and real-time chat with therapists. Deployed on AWS EC2, ensuring performance and scalability.

Languages

English , Hindi , Tamil , Malayalam

Skills

Languages

  • Python
  • Django
  • FastAPI
  • Node.js
  • JavaScript
  • TypeScript
  • React
  • Next.js
  • HTML
  • CSS
  • Tailwind CSS

Cloud Services

  • Vercel
  • Groq
  • AWS
  • DigitalOcean

Dev Tools

  • VS Code
  • PyCharm
  • Figma

Databases

  • MongoDB
  • MySQL
  • PostgreSQL
  • SQLite

Technologies

  • Git
  • AWS (EC2, S3, Lambda)
  • DigitalOcean
  • Websockets
  • Nginx
  • Docker
  • Daphne
  • Gunicorn
  • Stripe API
  • Razorpay