Ibrahim Allahbuksh

Software Engineer

Software engineer with a passion for building full stack applications that solve real-world problems. With experience across both front-end and back-end development, I bring expertise in technologies like React, Node.js, Python, and PostgreSQL.

My work spans from developing web apps to leveraging data for insightful analytics, with a focus on clean, scalable solutions. I thrive in collaborative environments and am always eager to learn and contribute to innovative projects. Let’s connect and explore how I can bring value to your team!

Technologies

Python
CSS
HTML
JavaScript
React
Node.js
Docker
Git
MySQL
Next.js
Pandas
Tailwind
Projects

Professor Recommender App

______________________________

  • Used agile methodology to create a web application for college students to rate professors and receive recommendations based on their learning styles as part of a Software Engineering course.
  • Professor teaching styles are updated in MySQL database in real time as more reviews of a professor are given.
  • Wrote documentation such as acceptance tests, task tests, react.js guide in detail

React

JavaScript

MySQL

PHP

Github

Trello

Trek

______________________________

Trek is a place where nature lovers will be able to gather to plan and share hiking trips. Users can engage with two main sections: the "gallery page" and the "hikes page". The "gallery page" is a feed that allows users to post pictures/descriptions relating to hikes they are on/have been on, and other users can interact with these posts (like/comment). The "hikes page" is a feed dedicated to posting/planning hikes. On this page, posts would include the location where the user is planning to take the hike, a description, tags that specify which type of hike it is, and the level of difficulty. Whether You're seeking inspiration from breathtaking photos or organizing your next adventure, Trek provides all the tools to make hiking more social, accessible, and enjoyable for everyone.

React

JavaScript

Swagger

Github

Trello

News Analysis

______________________________

  • Engineered a project to help users discern the truth in the news by providing a comprehensive analysis of articles on specific events.
  • Utilized NLP to detect biases, summarize content, analyze sentiment to present diverse perspectives, enabling users to make informed decisions.
  • Used News API to obtain the latest news articles, Cheerio to scrape new articles, and BERT for sentiment analysis

React

JavaScript

Python

PostgreSQL

Flask

Github

Reinforcement Learning Stock Trade Recommendation App

______________________________

  • Developed a stock prediction app using reinforcement learning with a Deep Q-Network model in Python.
  • Created a two-step prediction tool allowing users to input a stock symbol and get real-time predictions with a 'buy, hold or sell' recommendation.
  • Integrated historic financial data from multiple sources to improve prediction accuracy.
  • Simulated a custom stochastic market environment to mimic the randomness of stock market trends.
  • Achieved an average return on investment of 12% on real trades based on model predictions.

Python

Reinforcement Learning

Deep Q-Network

Financial Data

Github

Experience

Beats by Dre Consumer Insights Data Analytics Extern

Extern

___________

Jul 2024 - Sep 2024

Developed proficiency in Python and various data science libraries to perform comprehensive sentiment analysis on consumer reviews.

Developed proficiency in data visualization tools to present insights that may inform strategic brand building.

Applied exploratory data analysis (EDA) techniques to uncover underlying patterns and trends in large datasets.

Utilized advanced natural language processing tools to interpret and summarize customer feedback.

IT Consultant

University at Buffalo

___________

Feb 2022 - Jun 2024

Resolved 100+ technical issues weekly, including software, and networking problems for clients, ensuring swift and effective support.

Delivered a range of IT services such as diagnostics, malware removal, system resets, and reinstallation in both Windows and Mac environments.

Streamlined issue resolution through Remedy Force, reducing average ticket response time by 30% for students, faculty, and staff.

Created and improved technical documentation to enhance the efficiency of support procedures.

Data Annotation Specialist

Tesla

___________

Jul 2022 - Aug 2022

Utilized an autopilot labeling interface to train deep neural networks by accurately labeling hundreds of images

Coordinated with computer vision engineers to optimize labeling efficiency by contributing feedback on interface design to 2 supervisors.

Enhanced understanding of how labels are used by learning algorithms, was able to design a 98% accurate machine learning model

Contact

Email: ibrahimallahb@gmail.com

Phone: +1(716) 275-4541