Full-Stack Software Engineer | MS CS Grad | Building scalable apps with React, Python, and Java | 📍 Chicago | 🌐 Kyran.space
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kyran-apple-style-portfolio
April 8, 2026 – Present
kyran-apple-style-portfolio — GitHub repository
View ProjectPMAcceleratorAssesment
January 30, 2025 – January 30, 2025
PMAcceleratorAssesment — GitHub repository
View ProjectFile-Retrieval-System-Using-GRPC-
November 6, 2024 – November 6, 2024
File-Retrieval-System-Using-GRPC- — GitHub repository
View ProjectFile-Retrieval-System
October 23, 2024 – October 23, 2024
A multi-threaded server application that provides document indexing and search capabilities. This system allows clients to connect, index documents, and perform search queries across the indexed content.
View ProjectSentiment-Analysis-for-Amazon-Review
October 22, 2024 – October 22, 2024
This project focuses on harnessing big data analysis techniques to conduct sentiment analysis on a vast dataset of Amazon product reviews, employing a Random Forest Classifier as the machine learning algorithm.
View ProjectAI-Powered-Academic-Research-Assistant
November 2, 2023 – May 17, 2024
An AI-Powered Academic Research Assistant (apara.) with document scraping capabilities using NLP techniques has the potential to be an indispensable tool for researchers, significantly reducing the time and effort spent on information retrieval, data analysis, and literature review.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, indicating self-motivation and a proactive learning approach. The diversity of projects, including web development (JavaScript, HTML, CSS) and backend systems (Java), suggests a broad technical curiosity, which can be a positive for cultural fit in dynamic environments. However, the focus on personal projects without professional experience makes it difficult to fully assess collaboration and team-oriented cultural fit. The projects align with the 'Data Scientist' target role, particularly those involving AI, NLP, and sentiment analysis.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.