#AriStackThis skill-building journey started in my third year of college, and ever since then, it has only kept piling up, reaching toward the sky with no sign of stopping. Witness the steady and unwavering additions along the way.

"The expert in anything was once a beginner!"

Core stack

Machine Learning Foundations

Python-first experimentation workflow for notebooks, numerical computing, environment management, and model prototyping.

Neural systems

Building and iterating on neural networks with tensor-based training loops and practical experimentation discipline.

LLM orchestration

Composing prompt-driven applications, chaining model calls, and shaping agent-style workflows for intelligent products.

Perception

Image understanding and visual processing pipelines for detection, analysis, and camera-facing AI experiences.

Core engineering

Strong base across systems and application programming, supporting problem solving from low-level logic to typed web code.

Interface systems

Crafting responsive interfaces and component-driven applications with modern styling and state management patterns.

Service layer

Designing server-side applications and API layers across JavaScript and Python frameworks for product and data workflows.

Storage layer

Working with relational and document databases to support application state, querying, and structured data management.

Delivery

Versioning, containerization, cloud deployment, and team workflows that keep software reliable and shippable.

Extended toolkit

Workflow automation and visual production tools that expand software work into robotics, 3D, and post-production.