📍 HQ: Puebla, Mexico | 📧 diego.alberto.juarez@deepaxiom.com | 🌐 Global Scalability
"Code is a commodity. Architecture is an asset. Vision is the currency."
I am a Founder and Chief Architect focused on building technology with high barriers to entry. My background is not merely in software development, but in the rigorous application of Mathematics to solve systemic inefficiencies. I lead Deep Axiom, where we do not just build products; we engineer Digital Assets designed for exponential scalability and long-term valuation.
In a market saturated with wrappers and low-code solutions, I specialize in Deep Tech: proprietary algorithms, complex neural network architectures, and fault-tolerant distributed systems. My role is to bridge the chasm between theoretical mathematics and high-revenue business models, creating defensible Intellectual Property (IP) that stands the test of time.
My primary focus is the creation and acceleration of technology ventures. I operate with a CEO mindset, ensuring that every line of code contributes to the company's valuation and strategic positioning.
- The Technical Moat: I lead teams to build proprietary technology that is difficult to replicate, securing a competitive advantage in the AI sector.
- Capital Efficiency: By architecting systems correctly from day one (using Go, Rust, Elixir), I drastically reduce long-term cloud costs and technical debt, improving unit economics for future growth stages.
- Global Operations: My systems are designed to be region-agnostic, capable of scaling from a local deployment to a global infrastructure without refactoring.
- Talent Orchestration: I do not manage tickets; I manage high-performance human capital. I lead cross-functional teams of data scientists and engineers, fostering a culture of rigorous excellence and scientific inquiry.
We are moving beyond simple API integrations. At Deep Axiom, I lead the strategy for Sovereign AI—owning the intelligence rather than renting it.
I specialize in taking open-weight models and transforming them into vertical experts through rigorous Fine-Tuning (PEFT/LoRA) and Reinforcement Learning from Human Feedback (RLHF).
- DeepSeek R1 & Llama 3: Strategic implementation of high-performance open models to ensure data privacy and reduce operational costs compared to closed ecosystems.
- Vertical Specialization: Training models specifically on proprietary datasets (Legal, Medical, Financial) to outperform generalist models like GPT-4 in niche tasks.
- RAG Architectures: Orchestrating Retrieval-Augmented Generation systems that connect LLMs with our vector databases (SurrealDB/Pinecone), ensuring the AI hallucinates less and cites sources accurately.
- Gemini & GPT-4o Integration: When necessary, I architect hybrid systems that leverage the massive context windows of Gemini for analyzing unstructured data lakes, while using smaller, faster local models for reasoning.
This is the core of our Physical AI strategy. I leverage advanced mathematical frameworks to build machines that perceive, analyze, and predict real-world phenomena.
- TensorFlow & PyTorch: Utilizing these frameworks to build bespoke Convolutional Neural Networks (CNNs) and Transformers. I focus on model optimization—reducing inference time while maintaining high accuracy—crucial for real-time commercial applications.
- Mathematical Foundation: My approach to AI is grounded in Linear Algebra and Calculus. I understand the "black box" of AI, allowing me to fine-tune loss functions and optimizers for specific business use cases.
- OpenCV & Image Processing: Engineering pipelines for medical imaging, industrial quality control, and autonomous surveillance.
- YOLO (You Only Look Once): Deploying state-of-the-art object detection systems. I have experience fine-tuning YOLO models for edge devices, enabling AI detection on hardware with limited resources—a key factor for IoT scalability.
I select technologies based on stability, concurrency, and performance. My stack is chosen to support high-throughput financial and data-intensive operations.
A powerful backend needs a fluid interface. I architect client-side solutions that maximize user retention and conversion rates.
- Flutter & Android Studio: Strategic choice for "Write Once, Deploy Everywhere". Leveraging Android Studio for native module optimization, we launch iOS/Android apps with a single codebase, drastically cutting time-to-market.
- Next.js & React: The standard for high-performance enterprise web applications with SSR for maximum SEO.
- Astro: Utilized for content-heavy, high-performance architectures where "Zero JavaScript" loading states are required for speed.
- Python: The lingua franca of Data Science and AI integration.
- Go (Golang): My go-to for microservices requiring massive concurrency and low latency.
- Elixir/Erlang: Used for systems requiring 99.999% uptime and fault tolerance (Telecom/Fintech grade).
- Rust: For memory-safe, high-performance components where every millisecond counts.
- Google Cloud Platform (GCP): Architecting cloud-native solutions that leverage Google's global fiber network.
- Kubernetes & Docker: Container orchestration allows us to deploy updates instantly across global regions without downtime.
- Firebase: Utilized for rapid prototyping, real-time data syncing, and robust authentication services in our mobile ecosystems.
- SurrealDB & MongoDB: Flexible schemas for rapidly evolving data models.
- InfluxDB: Handling time-series data for IoT and financial analytics.
Deep Axiom is not just about SaaS; it's about Science. I am deeply committed to applying our computational power to Oncology and Life Sciences.
- Research Focus: Detection of cancerous patterns using Computer Vision.
- The Innovation: We are developing algorithms that analyze histological data with greater precision than the human eye. By training models on massive datasets of biological markers, we aim to reduce false negatives in early cancer diagnosis.
- The Vision: To transform healthcare from a reactive industry into a predictive, data-driven science. This represents a significant market opportunity with profound social impact.
I believe the future belongs to Autonomous Systems and AI-Native Organizations.
- Innovation over Iteration: We don't copy; we invent. We solve hard problems that others ignore because they are mathematically difficult.
- Robustness: We build systems that survive. Fault tolerance is not a feature; it is a requirement.
- Strategic Alignment: Every technological decision is made with the liquidity event or market dominance in mind. We build assets that appreciate.
I am always open to connecting with strategic partners, forward-thinking investors, and global innovators who understand that the next unicorn will be built on deep math and hard engineering.