Building private AI systems that owners and healthcare teams trust. Podcast conversations that turn first principles into action.

I help practice owners, health systems, and AI researchers put private, evidence-grounded ML into production while running AMIRI AXIOM to explore the edge of healthcare innovation.

"Start with outcomes. Build backward. Ship forward."

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About Me

Who I Am

Private AI BuilderSystems ThinkerEducator (First Principles)Global & UnconventionalFaith‑Grounded

Private AI Builder

I build interpretable, reliable AI that owners and clinicians trust.

From raw EHR to GPU‑accelerated pipelines and bedside‑safe decisions, built with first‑principles thinking from physics → ML/DL → systems.

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Principles

•Safety, explainability, and validation > model vanity.
•Privacy‑by‑design and least‑privilege data access.
•Human‑in‑the‑loop deployment; clinicians at the center.

Skills

•ML/DL: CV · NLP · RL
•Frameworks: PyTorch/TensorFlow, scikit‑learn, NumPy
•Data & Scale: SQL, Spark; batch/stream pipelines
•Systems: containers (Docker), orchestration, CI/CD
•Acceleration: CUDA & multi‑GPU training
•Healthcare data: EHR (tabular/text), clinical notes, MIMIC‑III
•MLOps: experiment tracking, model monitoring & drift handling

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Educator & Lifelong Student

I learn deeply; then teach from first principles.

Six years of rigorous physics study through early college formed my mental models. When I've questioned a thing hard enough to know it's true in reality, I teach it. Simply. From the ground up.

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Principles

•Prove it yourself. Then simplify it for others.
•No mystique. Make the math and code graspable.
•Curricula as systems: feedback, iteration, and proof.

Proof

•Taught 100+ students across STEM & CS.
•Built hands‑on labs in AI/ML and software fundamentals.
•Mentored across disciplines:AI, product, and systems.

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Podcast: AMIRI AXIOM

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Global & Unconventional

Cross‑disciplinary builder with a world‑citizen lens.

I move across domains. Physics, AI, healthcare, product, and community. Linking ideas others keep separate.

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Principles

•Synthesize across domains; don't silo truth.
•Operate outside comfort zones; bias to shipping.
•Skin in the game. Measure by outcomes, never optics.

Proof

•12 schools • 3 states • 2 countries (lived/studied).
•Awards & recognitions, including President's Award.
•Weekly podcast cadence (AMIRI AXIOM).

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Faith‑Driven Operator

Truth‑seeking, service, and stewardship guide the work.

Deep faith in the Creator informs how I build: integrity over optics, service over status, excellence over ego.

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Principles

•Seek truth; stand humbly in reality.
•Build systems that do good at scale.
•Honor commitments; earn trust daily.

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Dual Bachelor's degrees • MS CS (Georgia Tech) · AI, Computational Perception & Robotics (in progress)

Value Proposition

Who I Help & How

Who I Help

→Clinical leaders evaluating AI for workflow optimization
→Health systems navigating data governance & privacy
→Med-tech founders shipping ML into regulated environments
→AI researchers bridging academic methods to clinical reality
→Podcast guests exploring healthcare innovation at scale

Problems I Lean Into

→ML systems that ignore clinical workflow & human factors
→Data quality gaps that kill model reliability in production
→Privacy/compliance friction that delays or blocks deployment
→Misaligned stakeholder incentives across care delivery
→Integration debt with legacy EHR & payer systems

Typical Outcomes

→Clinicians save 15–30% of documentation time via context-aware AI
→Faster regulatory confidence through evidence & audit trails
→Reduced integration friction with pragmatic data pipelines
→Clearer go/no-go decisions via rapid prototyping & evals
→Thought leadership amplified through podcast reach & distribution

The Journey

Timeline

Education

Experience

2025 – Present

M.S. in Computer Science (in progress)

Georgia Institute of Technology

Active

Primary focus in machine learning and its systems, spanning data infrastructure, health informatics, network and cyber-physical security, LLM serving systems, and the law that governs software. The through line is systems whose behavior can be checked rather than assumed.

Feb 2026 – Present

🔬

Founder

PhysOpsAI

Active

Verification-and-assurance R&D for AI in the physical world. Version-bound evidence for systems that must not silently break.

2023–2025 (dual)

Bachelor's in Data Science

New York University – Center for Data Science

Completed

📍 New York, NY

Rigorous training in causal inference, computational cognitive modeling, and responsible data science. Graduate-level coursework with Prof. Pascal Wallisch (Big Data). Research projects in predictive modeling, Spotify analysis, and sustainability analytics (SASB/ROSI frameworks). Minor in Social Entrepreneurship at NYU Stern.

Jun 2025 – Present

Host

AMIRI AXIOM Podcast

Active

Conversations at the edge of AI, healthcare, and systems:grounded in first principles.

2023–2025 (dual)

Bachelor's in Computer Science

New York University – Courant Institute of Mathematical Sciences

Completed

📍 New York, NY

Deep Learning with Prof. Alfredo Canziani and audited Prof. Yann LeCun's graduate course. Hands-on experience in parallel computing (CPU/GPU optimization), algorithm analysis, and systems programming. Projects include CNN vs FCNN inductive bias studies, attention-enhanced VGG16 interpretability, and Deep Q-Learning for Atari environments.

Jan 2025 – Present

Founder & Principal

AMIRI XI

Active

@ Central Florida

A private AI practice for principals:intelligence systems installed and operated on hardware clients own.

2022–2023

Physics (transferred to NYU)

Fordham University (Bronx, NY)

Completed

📍 Bronx, NY

Physics core with quantitative foundations; business minor groundwork.

Oct 2023 – May 2024

Artificial Intelligence Engineer Intern

Reality AI Labs

Completed

@ New York, NY

Refined Rex personal tutor via OpenAI API + PyTorch on GCP within a RAG pipeline.

Jul 2023 – 2026

Technology & STEM Instructor

NEXPLORE

Completed

@ New York, NY

Teaching coding, AI/ML, and VR/AR to 30+ middle schoolers through hands‑on builds.

Class of 2022

Regents Diploma with Seal of Civic Readiness & Honors

Martin Van Buren High School (Queens, NY)

Completed

GPA 104.92/100; President's Award for Educational Excellence; NYC DOE Superintendent's Award; MVB Gold Medal (Math); UFT Science Committee Award; multiple Academic Star & leadership honors.

Aug 2021 – Apr 2022

Lawyer & Co‑Captain

Moot Court & Mock Trial

Completed

@ New York, NY

Led defense and co‑led moot court:first‑ever NYC quarterfinals; mentored six students.

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Strategic Focus

Now | Next | Later

Now

•Running AMIRI XI: a private AI practice that installs and operates local-first intelligence systems on hardware clients own
•Building PhysOpsAI: verification-and-assurance R&D for AI in the physical world
•Research papers under peer review (2026); US provisional patent filed, patent pending
•MSCS @ Georgia Tech (OMSCS): Completed database engineering (CS 6400) and health-AI pipelines on EHR data with Spark (CSE 6250). 2026: health informatics and interoperability (CS 6440), network security (CS 6262), and LLM inference serving systems seminar (CS 8001: vLLM, speculative decoding, KV cache optimization)

•Exploring agentic systems for practice operations: scheduling, correspondence, and follow-through
•Researching interpretability and verification methods for high-stakes AI
•Launching AMIRI AXIOM and growing it to 10K+ healthcare & AI professionals
•Contributing to open research on causal inference in healthcare ML

Later

•Building tools that make evidence synthesis instant for clinicians
•Advancing privacy-preserving techniques (federated learning, differential privacy) in healthcare
•Scaling AMIRI AXIOM into a media platform for healthcare innovation
•Teaching next-gen engineers to ship ML systems that respect human constraints

Operating Principles

The mental models and contrarian beliefs that shape how I build, ship, and think.

AMIRI AXIOM Podcast

AMIRI AXIOM explores the edge of AI, healthcare, and systems thinking. Long-form conversations with founders, researchers, and operators who have skin in the game.

What Makes a Great Conversation

✓First-principles reasoning about hard tradeoffs (not best practices or platitudes)
✓Skin in the game: you've built, shipped, or operated at scale
✓Willingness to admit uncertainty and share failure modes
✓Clear mental models that listeners can apply to their own problems

Topics & Themes

Healthcare AI in productionPrivacy-preserving ML & federated learningClinical workflow design & human factorsEvidence synthesis & systematic reviewsEntrepreneurship in regulated industriesCausal inference & decision-making under uncertaintySystems thinking & mental modelsIncentive design in healthcare delivery

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Takes 2 minutes. No obligation. Let's explore if there's a fit.

Selected Projects

Research and applied work spanning ML/DL, sustainability analysis, and systems thinking.

Inductive-Bias Study: CNN vs FCNN on MNIST

Inductive-Bias Slides

CNN Embedding Evolution (Video)

FCNN Embedding Evolution (Video)

CCM of Human Emotion

CCM Paper

Deep Q-Learning for Atari Boxing-v5

PACCAR Sustainability Analysis

Northrop Grumman Sustainability Analysis

Let's Connect

Exploring a healthcare AI partnership. Proposing a podcast conversation. Or just want to talk shop. I'd love to hear from you.

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Response time: typically within 48 hours