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🕷️ Spidy104 Code-slinger by impulse, not schedule. 🧠 Biomedical signals, 🛠️ Building pipelines, decoding Building mysteries If it compiles, it ships
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
zenoframe
April 7, 2026 – Present
C++23 1080p/144Hz DSP transport prototype with DIR, analytic concealment, and compressive sampling
View ProjectMeshTrust
January 4, 2026 – Present
Particle filter-based trust estimation engine for mesh networks with adaptive variance, urban canyon RF modeling, and anti-spoofing security logic
View ProjectECSD_AAT_Dataset_Generator
December 26, 2025 – Present
ECSD_AAT_Dataset_Generator — GitHub repository
View Projectsigflow
November 16, 2025 – Present
SigFlow — synthetic dataset generation and ML for modulation classification (C++ DSP core + Python ML pipeline)
View Projectweek12_channel_eq
November 16, 2025 – November 17, 2025
This is the week 12 of the boring project series where I explored LMS equalization, convolutional coding, Hamming codes, and then viterbi
View Projectweek11_audio_filters
November 8, 2025 – November 8, 2025
This project is an end‐to‐end audio processing and filtering toolkit and demo. This is the week 11 of the boring audio series
View Projectboring-project-ep9
October 19, 2025 – October 19, 2025
A Java and Maven simulation suite for adaptive modulation and empirical BER benchmarking — Boring Project Series, Episode 9 and also gaslighting Modems
View ProjectPPG_DIABETES_CLASSIFICATION
May 22, 2025 – May 23, 2025
This repository provides a complete pipeline for non-invasive blood glucose estimation using Photoplethysmography (PPG) signals. It includes data preprocessing, feature extraction, machine learning model training, and result visualization to support research and development in biomedical signal analysis and diabetes screening.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and highly technical, focusing on signal processing, machine learning, and low-level C++ development. While demonstrating strong technical aptitude, there is no information regarding collaborative work, team environments, or broader organizational contributions. The projects are diverse in their technical stack (C++, Python, Java) but heavily lean into DSP and ML, which aligns with a Data Scientist role, especially one involving signal data. However, the lack of team-based projects or experience makes it difficult to assess cultural fit beyond individual technical contribution.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions suggest a strong technical focus and ability to execute complex tasks independently.