Hi, my name is
Sakib Khan
I’m a Computer Science graduate with hands-on experience in cloud-native development and full-stack web applications. I’ve interned as a Software Engineer at Persado and served as a Tech Fellow with CodePath.
Skilled in Python, Java, JavaScript, SQL, and tools like Node.js, React, Kubernetes, AWS. I’m currently seeking full-time opportunities as a software engineer where I can contribute my skills and continue to grow.
Take a look around to learn more about my experience and projects and feel free to contact me!
Where I've Worked
Skills
Projects
PDF AI Study Generator
- Built a full-stack AI web app using React, Flask, and GPT-3.5 to convert uploaded PDF documents into structured summaries, flashcards, and quizzes
- Integrated PyMuPDF for server-side PDF parsing and implemented SHA256-based caching to avoid redundant GPT requests and reduce API costs
- Designed fallback logic to extract partial JSON when GPT outputs malformed responses, ensuring reliable UI rendering and minimal user disruption
- Deployed the frontend on Vercel and backend on Render, enabling a scalable and publicly accessible AI-powered study assistant
LeetCode Organizer iOS App
- Built a native iOS application in SwiftUI for organizing and tracking LeetCode problems by topic, completion status, and custom solutions. Published to the App Store for public use and user feedback.
- Utilized MVVM architecture and UserDefaults for persistent state management of problem sets, streak tracking, and user input.
- Integrated dynamic UI components including search filtering, tag-based classification, and image upload via
UIImagePickerController. - Engineered a modular design with custom SwiftUI views, including progress visualizations and editable solution entries with time/space complexity annotations.
Journal.ly – AI-Powered Journal App
- Created an iOS journaling app using SwiftUI and GPT-3.5 to generate reflective feedback, emotional analysis, and daily summaries from user entries
- Implemented daily GPT usage limits, chat history saving, and emoji customization using @AppStorage and modular ViewModels
- Added features like customizable starter prompts, persistent chat history, daily GPT limits, and a multi-tab navigation system to improve user experience
- Designed a polished, minimal UI with popup-based journal clearing and adjustable avatars to enhance personalization and control
LinkNest - Bookmark Manager Extension
- Developed a Chrome extension using JavaScript, React, and Vite to streamline the bookmarking process with tag-based metadata input upon saving a page.
- Utilized the Chrome Bookmarks API to auto-detect new bookmarks and prompt the user with a UI for adding predefined or custom tags.
- Engineered real-time search, edit, and highlight functionality for new or modified bookmarks, enhancing user experience and visual feedback.
- Packaged and deployed for use in Chrome Web Store, designed with responsive UI and styled using TailwindCSS.
NBA Reddit Sentiment Analyzer
- Built a Flask web application that performs sentiment analysis on Reddit posts based on user-specified keywords and subreddit input.
- Integrated Reddit API (PRAW) to fetch live data and analyzed post content using custom positive/negative word dictionaries tailored for community slang.
- Visualized sentiment trends through dynamically generated Matplotlib bar charts embedded into interactive HTML templates.
- Designed the app to be fully customizable, allowing analysis across any subreddit by modifying parameters with minimal code changes.
Contact
If you'd like to contact me, feel free to reach out to me using either my email or LinkedIn!
Email: sakibhkhan11@gmail.com
