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Assessing your cultural and operational fit
ferrisnet
April 11, 2026 – Present
A fully-featured automatic differentiation engine and neural network library written from scratch in Rust.
View ProjectBitUNet
March 22, 2026 – Present
A 1.58-bit ternary-quantized U-Net for real-time road scene segmentation. The model constrains all interior convolutional weights to {-1, 0, +1} using the absmean quantization scheme from BitNet b1.58, achieving a ~40 MB checkpoint size and 160+ FPS throughput on data center hardware.
View Projectdrone_localization
December 15, 2025 – Present
GPS-denied drone localization using LoRa trilateration, Kalman Filter fusion, and autonomous fire detection. Built on PX4 SITL, ROS2 Humble, and Gazebo Harmonic.
View Projectnebulus
May 17, 2022 – July 6, 2022
A minimalistic yet powerful userbot written in pyrogram [BETA]
View Projecttgytdl
March 27, 2022 – June 6, 2022
Telegram bot to download YouTube videos in multiple resolutions, convert video to audio
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and open-source contributions, indicating a strong drive for self-directed learning and exploration of diverse technologies (Python, Rust, TypeScript, JavaScript). The focus on deep learning, neural networks, and data-related projects (e.g., drone localization, BitUNet) aligns with a Data Scientist role. However, the lack of team-based or professional project experience makes it difficult to fully assess cultural fit in a collaborative corporate environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise and technically focused, but do not provide insight into collaboration, problem-solving approaches, or communication style in a team setting.