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neurodeveloper11/README.md

Hi there, I'm Fabio Torres πŸ‘‹

Data Engineer | Full-Stack & AI Systems Engineer | Behavioral Specialist

M.Sc. in Data Engineering & Cloud Infrastructure β€’ 10+ Years Behavioral & Cognitive Science Leadership

LinkedIn Google Play Email Location


"Bridging Human Cognitive Dynamics with High-Performance Scalable Data & AI Systems."
Available for High-Impact Remote Roles ($3,000 – $10,000+ USD) across US, Europe & LATAM.

⚑ Professional Overview & Core Value

I architect high-throughput data pipelines, resilient distributed backends, and offline-first mobile systems. My profile pairs a rigorous graduate education in Data Engineering & Cloud Infrastructure (M.Sc.) with over a decade of professional experience in Organizational & Cognitive Psychology.

  • πŸš€ Production-Proven: Creator of NeuroGym, published on Google Play Store, featuring 37+ cognitive minigames, hybrid edge/cloud LLM routing, and real-time behavioral telemetry.
  • πŸ› οΈ Engineering Rigor: Creator of SmartGym (~19,600 lines of TypeScript, Clean Architecture, 46 unit tests in Jest) and quantitative prediction platforms (BTC Quant Lab, sub-120ms FastAPI inference).
  • 🧠 Defensive Domain Moat: Deep expertise in psychometrics, behavioral telemetry, cognitive ergonomics, and AI alignment / bias auditing.
  • πŸ† High-Stakes Strategic Mindset: National Chess Champion & Master, leading complex strategic thinking and high-pressure operational environments.

πŸ› οΈ Technical Stack & Tooling

Data Engineering & Analytics

Python SQL PostgreSQL DuckDB Polars Apache Arrow Pandas Scikit-Learn Power BI

Backend, Cloud & AI Systems

FastAPI Docker LangChain Pydantic v2 Google Cloud PyTest Node.js

Mobile & Full-Stack Development

React Native Expo SDK TypeScript React.js SQLite Jest

🌟 Featured Engineering Showcase

πŸ“± NeuroGym (Google Play Live)

Production Cognitive Training Platform & Hybrid AI Engine

  • 37+ Modular Minigames: Designed to evaluate working memory, executive function, and motor response times.
  • Hybrid AI Assistant: Intelligent edge routing between on-device models for zero-latency offline use and cloud LLMs for deep analytics.
  • Offline-First Telemetry: Local SQLite event logging with asynchronous Firebase sync (99.8% session uptime).
  • Dynamic Difficulty Adjustment (DDA): Response-time ($RT$) algorithms driving a 35% increase in 30-day retention.

View on Google Play Store Β»

πŸš€ Modern Data Pipeline

High-Throughput Analytics with DuckDB, Polars & FastAPI

  • Vectorized Ingestion: Synthesizes high-velocity event streams into partitioned Parquet Lakehouse storage.
  • Sub-50ms OLAP Analytics: In-memory transformations with Polars LazyFrames and analytical SQL queries with DuckDB.
  • Production Async API: High-performance FastAPI endpoints with OpenAPI/Swagger and Pydantic v2 validation.
  • Containerized & Tested: Multi-stage Docker build, Docker Compose, and automated PyTest CI/CD suite.

Explore Repository Β»

πŸ€– Cognitive Agent Evaluator

Autonomous Behavioral Telemetry & Bias Detection Engine

  • State Graph Architecture: Modular evaluation pipeline built with state machines and asynchronous workflows.
  • Cognitive Bias Detection: Quantifies Confirmation Bias, Anchoring, Availability Heuristic, and Framing in LLM outputs.
  • Psychometric Telemetry: Scores cognitive load, emotional valence, and alignment confidence vectors.
  • Automated Mitigation: Synthesizes real-time correction directives for AI alignment (RLHF benchmark ready).

Explore Repository Β»

πŸ’ͺ SmartGym Engine

100% Offline-First Strength Training & Periodization Engine

  • Senior Clean Architecture: ~19,600 lines of strict TypeScript isolating domain math from UI state.
  • Rigorous Unit Testing: 46 Jest tests validating 1RM estimates, weekly volume calculations, and deload cycles.
  • Native Hardware Integration: Biometric authentication, audio TTS coaching, and local push notifications.
  • Zero-Dependency Reliability: Uncompromised functionality without server connectivity.

🧠 MindPulse: Behavioral Health Pipeline

Longitudinal Telemetry & Clinical Decompensation Risk Engine

  • Streaming Biomarker Ingestion: Ingestion of PHQ-9, GAD-7, circadian sleep debt, and psychomotor latency streams.
  • Longitudinal Feature Store: Vectorized 14-day sliding window features, OLS trend slopes, and psychomotor drift quantification.
  • Dual-Engine Anomaly Scoring: Unsupervised Isolation Forest ensemble calibrated with clinical DSM-5 psychometric gates.
  • Modern Off-White UI: 1-click cohort simulations (acute depression, burnout crisis, stable remission) and sub-50ms REST API.

Explore Repository Β»

βš–οΈ FairTalent-Engine

Algorithmic Bias Auditing & Psychometric Validity Platform

  • EEOC 4/5ths Rule & NYC LL144: Real-time Disparate Impact Ratio (DIR) auditing across protected demographic categories.
  • Classical Test Theory (CTT): Vectorized Cronbach's Alpha (Ξ±) and item-total discrimination construct validation.
  • Automated Fair-ML Mitigation: Post-processing Pareto threshold tuning resolving adverse impact with >95% merit retention.
  • Executive Compliance Suite: Interactive educational UI, live cohort simulation, and certified audit trail export.

Explore Repository Β»

πŸ“ˆ BTC Quant Lab (Case Study)

Quantitative Financial Analytics & Walk-Forward ML Engine

  • Automated Time-Series Ingestion: Multi-timeframe OHLCV feeds with automated outlier rejection and volatility regimes.
  • Quantitative Feature Engineering: Momentum, realized volatility, and cyclical Fourier transforms with NumPy/pandas.
  • Walk-Forward Cross-Validation: Supervised ensemble models evaluated without lookahead bias for Sharpe & Drawdown attribution.
  • Sub-120ms Inference API: High-performance FastAPI prediction server with interactive Swagger documentation.

⚑ DopamineScan

Neurocognitive Sensory UX & Psychomotor Telemetry Platform

  • Sub-16ms Tactile Response: Zero-dependency pure JavaScript client for PVT reflexes and Go/No-Go inhibitory control.
  • Web Audio Synthesizer: Procedural audio synthesis without external sound files.
  • Canvas 9:16 Story Generator: Dynamic 1080Γ—1920 px viral story cards with native Web Share API.
  • FastAPI Scoring Backend: Containerized REST microservice validating Signal Detection Theory ($d'$).

Try Live Web App Β»

🧠 The Domain Moat: Cognitive Science Meets Data Engineering

graph LR
    subgraph DataEngineering ["Data & AI Engineering"]
        D1["M.Sc. Data Engineering"]
        D2["Distributed Pipelines & DuckDB/Polars"]
        D3["Modern Cloud & FastAPIs"]
    end

    subgraph BehavioralDomain ["Cognitive & Behavioral Science"]
        B1["10+ Years Behavioral Psychology"]
        B2["Psychometric Modeling & Validation"]
        B3["Human Decision-Making & Bias Auditing"]
    end

    subgraph HybridMoat ["The Strategic Competitive Moat"]
        H1["AI Alignment & RLHF Safety Evaluation"]
        H2["Behavioral Telemetry & Retention Optimization"]
        H3["High-Stakes Strategic Resilience (Chess Master)"]
    end

    DataEngineering --> HybridMoat
    BehavioralDomain --> HybridMoat
    
    style HybridMoat fill:#1e293b,stroke:#38bdf8,stroke-width:2px,color:#f8fafc
    style DataEngineering fill:#0f172a,stroke:#818cf8,stroke-width:1px,color:#f8fafc
    style BehavioralDomain fill:#0f172a,stroke:#34d399,stroke-width:1px,color:#f8fafc
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Most data engineers know how to aggregate telemetry; I know what human cognitive mechanisms drive the telemetry. This cross-disciplinary capability enables me to design superior data models for user engagement, detect subtle edge-case cognitive fallacies in AI systems, and translate complex analytical insights into human-centric organizational decisions.

πŸ“Š GitHub Analytics & Activity

Fabio's GitHub Stats Fabio's Streak Stats
Top Languages

πŸ“¬ Let's Connect

Built with precision by Fabio Torres β€’ Data & AI Systems Engineer

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