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Hello there 👋, I'm

Shoaib Mohammed.

CS Graduate @Illinois Tech.

Full-stack developer with 3+ years of experience designing and building scalable web applications using React, Next.js, Node.js, Kubernetes, PostgreSQL, and other modern technologies. I specialize in delivering tailored solutions for diverse client needs and have a growing passion for integrating AI/ML capabilities into applications. Currently focused on exploring Large Language Models (LLMs), AI agents, and browser automation to enhance digital experiences.

About Me

Hi there! I’m Shoaib, a passionate software engineer and tech enthusiast with a master's degree in Computer Science from the Illinois Institute of Technology, Chicago. With a strong foundation in AI and Web technologies, I thrive on crafting innovative solutions that blend cutting-edge technology with intuitive user experiences.

Throughout my journey, I’ve gained hands-on experience in designing scalable, high-performance applications. From building real-time systems and automation platforms to creating immersive digital environments, my work is driven by a desire to solve complex problems and push the boundaries of what’s possible. My expertise spans across backend systems, cloud infrastructure, and user-centric design, enabling me to deliver impactful and reliable solutions.

What excites me most is creating tools that simplify lives and drive efficiency—whether it’s enhancing workflows, empowering users through automation, or reimagining how we interact with technology. My approach combines technical excellence with creativity, always focusing on building products that resonate with users and deliver tangible value.

Here is a list of the technologies that I'm familiar with!

  • JavaScript
  • Node.js
  • React
  • TypeScript
  • Next.js
  • Postgres
  • WebRTC
  • WS
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Where I've Worked

Software Engineer @ Simtec

May 2024- Present
  • Designed, developed, and deployed responsive websites, and scalable design systems for a variety of clients, leveraging technologies like JavaScript, TypeScript, React.js, Next.js, GraphQL, CSS, WordPress, and other modern tools.
  • Built and enhanced scalable web applications and RESTful APIs using Node.js, Postgres, Redis, and Socket.IO, improving application performance and reducing server response time by 30%.
  • Automated manual release activities by developing and maintaining CI/CD pipelines using Jenkins, Docker, and AWS, reducing deployment time by 40%. Deployed applications to AWS, ensuring scalable and reliable hosting environments.
  • Built and delivered technical solutions aligned with stakeholder business requirements, ensuring project goals were met with precision and efficiency

Other Projects

View Complete List of Projects/Codes
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RAG Application

Retrieval-Augmented Generation approach to enhance information processing from YouTube videos. It transcribes video audio using Whisper, turns transcripts into a searchable database with Pinecone, and leverages enhanced question-answering capabilities by combining retrieved data with language models

  • LangChain
  • Python
  • Vector Store
  • Embeddings
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Reddit Network Analysis

In this project, we crawled data from Reddit, created a social network based on the comments made by users, and analyzed the network using several network measures. The results of the analysis showed that the network has a few users with a very high degree, but most users are not well-connected to their neighbours. There are also a few nodes that are very central to the network, indicaDng that they may be important "bridges" between different parts of the network.

  • Python
  • Networkx
  • Pandas
  • git
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HomeHub Ecommerce Website

The website was built using Angular for the frontend and SpringBoot for the backend, while the database used was MySQL and MongoDB. The website utilized the Yelp and Maps API to enhance its functionality, and educational videos were included by integrating the YouTube API. The end result was a fully functional website that provided user with an interactive and informative experience.

  • Angular
  • SpringBoot
  • React
  • MySQL
  • Elastic Search
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Space Debris Data Unit

Developed an algorithm in Python using Machine Learning & techniques of Digital Image Processing that can detect space debris in a particular orbit, indicating the quantity and density of debris.

  • Python
  • OpenCV
  • CNN
  • MeachineLearning
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Brain Tumor Detection with Transfer Learning

It’s a research study on brain-tumor detection with different transfer-learning models such as ResNet-50,Inception-V3, & VGG-16.The accuracy of the VGG network achieves more than 98.16% compared to ResNet-50 and Inception-v3.

  • OpenCV
  • TensorFlow
  • Keras
  • Python
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Automated Traffic Ticket Checking System using IoT

An automated system avoids or eliminates the manual load in the traffic ticket collecting system in India. It also acts as a platform where illegal activities such as fake registration, insurance and pollution certificate validity can be regulated.

  • PHP
  • Javascript
  • IoT
  • HTTP
  • CSS

What's Next?

Get In Touch

Want to discuss a project, opportunity, or anything else? Don't hesitate to contact me! Feel free to mail me about any relevant job updates.

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