I design and ship end-to-end AI-powered systems — from the machine learning layer through the backend API to the frontend interface. My work sits at the intersection of applied ML, LLM engineering, and decentralized infrastructure.

Most recently I built Subnet Sentinel, a full-stack Bittensor intelligence platform covering 128 active subnets. It replaced hardcoded threshold alerts with a per-subnet statistical anomaly detection engine (z-score baselines, compound multi-metric detection, 4-tier severity taxonomy), added a RAG-based conversational AI agent with multi-turn session memory and tool-first groundedness, and a local LLM pipeline (Ollama + Qwen3 8B) for deep GitHub repository analysis — all without a GPU.

Full-stack AI platform monitoring 128 Bittensor subnets in real time

• Statistical anomaly detection — per-subnet rolling baselines (mean, std, z-score, p10/p90) over 30-day snapshot history. Alerts only when a metric deviates from that subnet's own historical norm — not a global threshold
• Compound anomaly detection — fires a single high-confidence alert when ≥2 metrics deviate simultaneously (e.g. emission drops 3.1σ AND miner count drops 2.8σ)
• RAG conversational agent — Gemini + Chroma vector store, multi-turn session memory, SSE streaming, tool-first groundedness (no number stated without a live tool call backing it), freshness disclosure per answer
• Local LLM pipeline — map-reduce GitHub repository analysis using Ollama (Qwen3 8B, CPU-only): shallow-clone → filter high-signal files → per-file summarization → structured reduce into miner/validator requirement profiles
• Hybrid LLM routing — Ollama (local) for background summarization, Gemini for interactive chat — switchable per component via config
• On-chain change detection — tracks registration state, emission transitions, burn rate flips, miner/validator churn across all 128 subnets with deduplication
• 4-tier severity taxonomy — LOW / MEDIUM / HIGH / NEWSLETTER with operational impact descriptions and requires_action flags

Python FastAPI Next.js PostgreSQL Chroma Ollama Gemini API Bittensor SDK Docker APScheduler

ML-powered cybersecurity node deployed on the Bittensor network

• Sourced and engineered a DDoS traffic dataset from scratch (no existing dataset for this use case)
• Trained a Random Forest classifier reaching 98% classification accuracy distinguishing malicious from normal traffic
• Built the full pipeline: synthetic attack-traffic generation → feature engineering → model training → live inference integration
• Deployed as a production miner node on Bittensor Subnet 91

Python scikit-learn Random Forest AWS GCP Bittensor

Applied ML systems across reinforcement learning, forecasting, and optimization

Python PyTorch Stable Baselines3 JAX scikit-learn Blockchain

Solidity-based on-chain system for a GameFi ecosystem (Singapore)

• Architected 4 core smart contract modules (Factory, Blueprint, Product, Custody) across 3 token standards (ERC-20/721/1155)
• Built FactoryGame: NFT-synthesis platform with factory contract deployment system for modular, scalable asset creation
• Built Stakeverses: staking platform with reward formula design, staking/claiming/withdrawal contracts supporting 3 reward token types
• Security-audited all contracts with Hardhat, Chai/Mocha, Sepolia testnet, and the Aderyn audit tool before deployment
• Web3 frontend: Ethers.js, Wagmi, RainbowKit, WalletConnect v2 for multi-wallet support

Solidity ERC-20/721/1155 Hardhat Aderyn TypeScript React Node.js GraphQL MongoDB

NFT marketplace with auction and royalty mechanics

• Built NFT collection and marketing contracts including auction and royalty mechanisms
• Concept announced at the Agora "Celebrating NFT & DeFi" event (June 2021)
• Publicly launched on stage at GITEX Dubai (Oct 2021) in front of a 1M+ audience

Solidity Web3.js React ERC-721

Techniques: Random Forest · Reinforcement Learning (Stable Baselines3, JAX) · Time-Series Forecasting · Statistical Anomaly Detection (z-score, rolling baselines) · RAG · LLM Agent Orchestration · Prompt Engineering · NLP · Transformer-based Models · Local LLM (Ollama, Qwen3)

Protocols: ERC-20 / ERC-721 / ERC-1155 / ERC-4626 · DeFi · NFT · DAO · Bittensor · Wagmi · RainbowKit · WalletConnect v2

2026 – Present  Subnet Sentinel (Personal Project) — AI platform engineer
2026 – Present  LiveSpan Network Inc. — Founding Engineer (edge computing platform)
2025 – 2026     Upwork — Freelance AI Full-Stack Developer
                  · BNB Tweet (OpenAI GPT pipeline, 3-format export)
                  · WealthLogix (Django, PDF generation, 100% accuracy)
2025            Bittensor — AI/ML Engineer (7 concurrent subnets)
2023 – 2025     FactoryVerse — Architecture Designer, Smart Contract Developer
2021 – 2023     TwistedResources — Web Developer
2020 – 2021     TwistedResources — Intern Web Developer

🎓 B.S. Computer Science — Holy Angel University, Philippines (2017–2021)

🏆 Champion, Dapp and Dash Campaign — Forward, Rootstock on AlphaGuild (Nov–Dec 2023)

🎤 GITEX Dubai Stage Launch — Presented Sinverse Marketplace to 1M+ audience (Oct 2021)