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USTO
Game Developer
June 21, 2026 – Present
parasyte
June 21, 2026 – Present
minimal load tester for local APIs by simulating concurrent requests from multiple distinct source IPs
View Projectnyuraru
May 30, 2026 – Present
Neural network library for visualizing training and tests on different loss/activation functions
View Projectmnist
May 23, 2026 – Present
Neural network for MNIST handwritten digit recognition implemented from scratch using only NumPy. Training, testing, and custom image prediction with ~95% accuracy.
View ProjectAiki
May 21, 2026 – Present
Local wikipedia retrieval engine built using TF-IDF and cosine similarity.
View ProjectgeoGuessr_Assistant
March 20, 2026 – Present
(My thesis) Street-level image analysis pipeline for geographic location inference using YOLO object detection, OCR, and Overpass/Nominatim queries.
View Projectfrg_compiler
November 24, 2025 – Present
a compiler meant for frog language (.frg), has lexer, syntax and semantic analysis. coded entirely in C, and used gtk library for UI.
View ProjectCultural Fit Analysis
The candidate's project history demonstrates a strong passion for diverse technical challenges, including AI/ML, web development, systems programming, and compiler design. While the target role is 'Game Developer', only one project ('frg_compiler' with GLSL mention) directly hints at graphics or game-related development. The current experience lists 'Game Developer' at USTO, but without details on this role, it's hard to assess the depth of game development experience. The breadth of personal projects suggests a self-starter who enjoys exploring different domains, which can be a positive for a dynamic team. However, the lack of explicit game development projects (beyond the current role with no details) makes it difficult to fully assess cultural fit for a game development-focused team.
Soft Skills & Operational Fit
The candidate's project portfolio indicates a strong inclination towards independent learning and problem-solving. The diversity of projects, from neural networks to compilers and real-time applications, suggests adaptability and a proactive approach to acquiring new technical skills. However, without specific soft skill assessments or interview data, a detailed operational fit analysis is not possible.