Building intelligent systems & security sentinels.
Hands-on implementation of core mathematical principles. Building in public. Machine Learning Engineer, Data Scientist, and researcher focused on real-world impact.
Core Technical Competencies
Expertise across machine learning, data science, and blockchain security with deep mathematical foundations.
Machine Learning Engineering
Designing and deploying production ML systems with focus on scalability, reliability, and real-time inference.
Data Science
Statistical analysis, predictive modeling, and data-driven insights from complex datasets.
Web3 Security Architecture
Building secure smart contract systems and analyzing blockchain vulnerabilities.
Deep Learning Frameworks
Advanced neural architectures, computer vision, NLP, and multimodal models.
Featured Projects
Showcasing hands-on implementations across Web3 security, core ML frameworks, and fintech intelligence.
Autonomous Web3 Security & Agentic Systems
0xNeural V2 & V1 Suite
An autonomous, real-time fraud sentinel engineered to monitor the Ethereum mempool, detect malicious transactions, and trace complex smart contract exploits before execution.
solana-shred-sentry
A specialized system designed to monitor and analyze Solana block propagation and shred delivery metrics to guard against localized network spam and validation drops.
ace-x402-agent
An autonomous agentic system designed to interface with decentralized protocol parameters, automating decision-making pipelines based on real-time on-chain data triggers.
Core AI Frameworks & Tokenization Engines (Built from Scratch)
Autograd Engine
A custom scalar-valued gradient computation engine built from the ground up to illustrate fundamental backpropagation mechanics, complete with custom verification steps.
0xneural-Tokenizer & BPE-Tokenizer
A highly optimized text tokenization pipeline implementing Byte-Pair Encoding (BPE) from scratch, designed to mimic the exact tokenization architectures used by modern Large Language Models (LLMs).
NanoCopilot
A lightweight, specialized code-generation helper built using localized neural architectures to explore fine-tuning mechanics and low-latency inference parameters.
Predictive Analytics & FinTech ML Engines
AI-Powered Corporate Spend Analysis for Fintech
An end-to-end data intelligence pipeline that categorizes corporate expenditures, maps anomalies, and flags operational spend leakage using advanced ML classification.
Predictive Credit Scoring Engine
A machine learning model engineered to evaluate creditworthiness and loan default probabilities, optimizing credit risk matrices for complex fintech applications.
Proactive Customer Churn Analysis
A continuous retention modeling engine that isolates key behavioral churn indicators, allowing platforms to intercept dropping user metrics proactively.
Writing & Building in Public
Technical articles, research documentation, and deep dives into ML, security, and systems design.