MOHAMMED SHAFI

Full Stack Developer
Bengaluru, IN.

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

PixelBird Digital
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Full Stack Developer

Summary

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.

Highlights

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

Calicut University

Bachelor of Science (BSc)

Physics

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.

Projects

Editify

Summary

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

Summary

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

Summary

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.