Projects Resume About

Headstarter AI Fellow

As a Software Engineering Fellow at Headstarter AI, I developed and deployed 3 AI-based solutions, improving algorithm efficiency by 15% through advanced algorithms and machine learning fundamentals. Completed 5 real-world application projects, enhancing technical skills and gaining hands-on experience in software development.

Achievements

AWS Certified Solutions Architect – Professional
Completed the AWS Certified Solutions Architect – Professional certification, gaining expertise in architecting and deploying scalable applications on AWS.

AWS Cloud Quest
Earned multiple AWS badges, gaining expertise in Cloud, Compute, Storage, Database, Networking, Cloud Ops, and Security.

Advanced Technical Interview Preparation (TIP103)
Focused on data structures, algorithms, system design, and advanced coding skills.

Khalilullah Mohman

Projects

Here are some of the additional projects and achievements highlighting my expertise in AWS and other technologies:

Projects

  • Project 1: GMU Rate My Professor

    Developed the GMU Rate My Professor app using Retrieval-Augmented Generation (RAG), Pinecone, OpenAI API, React.js, Next.js, Material-UI, and Clerk for authentication. The application allows users to view AI-generated professor reviews for the GMU CS department.

  • Project 2: Personal Website

    Created a personal website using HTML5, CSS3, and JavaScript to showcase my portfolio and blog.

  • Project 3: Pantry Tracker App

    Developed a pantry tracker application using React, Firebase, and Vercel. This app helps users keep track of their pantry items, including quantities and expiration dates.

  • Project 4: Chatbot AI App

    Created a chatbot application using AI technologies and integrated with Pinecone and OpenAI to deliver intelligent conversations.

  • Project 5: Flashcard-SaaS App

    Developed a SaaS application for creating and managing flashcards using Next.js, Firebase, and MUI. The application provides an intuitive interface for learning and reviewing materials.

  • Project 6: Serverless Web Application

    Developed a serverless web application using AWS Lambda, API Gateway, DynamoDB, and S3. The application efficiently handles user requests and stores data in a highly scalable and available manner.

  • Project 7: Data Lake Implementation

    Implemented a data lake on AWS using S3, Glue, and Athena. The project involved setting up data ingestion pipelines, transforming data, and performing queries to derive insights from the data stored in the lake.

  • Project 8: Scalable Web Hosting

    Configured a scalable web hosting environment using EC2, Elastic Load Balancer, and Auto Scaling groups. This setup ensured high availability and fault tolerance for a web application under varying load conditions.