Ishraq Rahman

Self-motivated and organized problem solver eager to explore and learn new technologies in software development. Enthusiastic and ready to contribute to team success

Lucretia, Ann Arbor, MI

Co-Founder, 06/2018 - 01/2021

Coordinated collaborative efforts with mental health student organizations like hEARt Listens, facilitating the organization of 3+ social events/semester and generating approximately $600/semester through multiple fund-raisers aimed at promoting healthy lifestyle habits, educating community members about campus resources, and fostering a cohesive community.

Instagram Clone (Jinja2, SQL, Flask, Python, ReactJS, HTML, CSS, AWS)

● Leveraged the Jinja2 templating engine to design and implement a Python generator seamlessly incorporating HTML templates and JSON files, resulting in the development of an Instagram clone containing user feed, profile, and explore pages

● Deployed dynamic server-side functionality facilitating interaction of users across all pages enabling addition/removal of posts, comments, likes, and accounts utilizing Flask to permit SQL database updates promoting overall user experience

● Incorporated dynamic client-side functionality, permitting users to interact with the web application via likes, comments, and follow/unfollow seamlessly through ReactJS event-driven programming to allow page interaction without refreshing pages

● Integrated Flask session management for user authentication, enabling unique feeds based on the user, employing SHA-512 for password hashing to enhance user password security storing user information securely in the SQL database

Search Engine (SQL, Flask, Python, HTML, CSS)

● Implemented a pipeline of MapReduce programs to analyze a given sample input of web pages presenting the most relevant pages in response to a user search query in partitioned JSON format while optimizing for scalability in dynamic pages

● Computed term frequency and inverse document frequency for each word in sample input within the MapReduce pipeline, generating a scoring system integrated with PageRank to determine document relevance for user search queries

● Developed a Flask web application, consolidating partitioned JSON files for presentation on a unified webpage leveraging SQL for efficient storage and retrieval of document data, with CSS implementation for an intuitive and user-friendly design