Introduction to CFD Chapter 2: Meshing Foundations
A concise, engineering-focused summary of CFD meshing concepts, emphasizing mesh quality, hybrid strategies, and physics-driven refinement rather than software-specific aspects.
Introduction to CFD Chapter 1: Background and workflow
An introduction to CFD focused on physical modeling assumptions, workflow logic, and geometry preparation principles rather than software-specific aspects.
Spacetraders 2: PostgreSQL - Building a Local Game State with ELT
This entry documents a practical PostgreSQL setup for SpaceTraders gameplay. It covers Python integration, database creation, schema organization, ELT-style raw data ingestion, hashing, and reusable function skeletons for storing and transforming API responses. Designed as a technical reference and archive for building a local game state.
Spacetraders 1: OpenAPI and API-first gameplay foundations
SpaceTraders is an API-driven space trading game where all gameplay is performed through REST endpoints. This entry introduces the game in the context of OpenAPI and documents practical Python workflows for authentication, pagination, throttling, and defensive API consumption, serving as both a series introduction and a technical reference note.
Heat transfer Chapter 5: Porous media and heat exchangers
Final heat-transfer notes covering porous media and heat exchanger modeling, explaining upscaling, equilibrium assumptions, effective properties, and practical CFD implementations.
Heat transfer Chapter 4: Radiative heat transfer
Integrated notes on radiative heat transfer explaining thermal radiation, interaction with media and surfaces, optical thickness, and practical CFD radiation models including solar loading
Heat transfer Chapter 3: Convective heat transfer
Integrated notes on convective heat transfer explaining microscopic origins, energy transport in moving fluids, and the physics of forced, natural, and mixed convection.
Heat transfer Chapter 2: Conductive heat transfer
Clear, physics-based notes on conductive heat transfer, explaining microscopic mechanisms, thermal properties, energy conservation, and steady versus unsteady conduction behavior in solids.
Heat transfer Chapter 1: Introduction
A concise conceptual introduction to heat transfer, explaining energy storage, temperature, local thermodynamic equilibrium, and the physical meaning of conduction, convection, radiation, and phase change.
Multiphase Chapter 5: Discrete Phase Flows
Integrated Master’s-level notes on Discrete Phase Modeling, covering particle dynamics, turbulence interaction, sprays, wall effects, and multiscale VOF–DPM coupling for predictive atomization simulations.
IBM Data Engineering: ETL and Data Pipelines with Shell, Airflow and Kafka
A concise archive of my notes from a data engineering course covering ETL and ELT fundamentals, data pipeline design, Apache Airflow orchestration, and real-time streaming with Apache Kafka. Focused on concepts, architecture, and practical trade-offs rather than step-by-step tutorials.
Multiphase Chapter 4: Eulerian Flows
A mid-length, integrated set of engineering notes covering Eulerian multiphase modeling—including gas–liquid, gas–solid granular flows, wall-film transport, and population balance modeling—with emphasis on physical intuition, interphase forces, and numerical considerations.
Multiphase Chapter 3: Volume-of-Fluid (VOF) Method
The Volume-of-Fluid (VOF) method is a cornerstone of free-surface modeling in CFD. It tracks the motion of interfaces between immiscible fluids—like air and water—by solving a single set of flow equations and evolving a scalar volume fraction that marks how much of each phase fills a cell. This approach enables realistic simulation of sloshing, filling, jet breakup, and dam-break flows without deforming the mesh. In ANSYS Fluent, VOF offers multiple schemes for time integration and interface reconstruction, balancing sharpness, stability, and computational cost
Multiphase Chapter 2: Mixture Model
The Mixture Model represents multiphase flow as a single continuous medium while preserving the essence of how its components drift, exchange, and transform within it. This chapter connects the mathematics of the model with its physical meaning — showing how mass, momentum, and energy transfer intertwine with interfacial phenomena, and how ANSYS Fluent applies these ideas in cavitation, wet steam, and condensation analyses.
DeepMind’s “Disproof” of Navier-Stokes: Euler Blow-Ups and Why It’s Overhyped
DeepMind and collaborators used physics-informed neural networks to uncover unstable singularities in idealized fluid equations (Euler)—the knife-edge cases where solutions blow up only under perfectly tuned conditions. I summarize what they actually did, what it means (and doesn’t) for the Navier–Stokes Millennium Problem, and why the media buzz may feel overhyped from an engineering/CFD point of view
Multiphase Chapter 1: Introduction to Multiphase Flow
Multiphase flows occur when gas, liquid, or solid phases coexist and interact through momentum, heat, and mass transfer. This chapter introduces the main regimes and explains how they are modeled in CFD using ANSYS Fluent. From simplified mixture models to detailed Eulerian formulations and interface-capturing VOF methods, the focus is on understanding the assumptions, strengths, and limitations of each approach. Practical guidelines for model selection and industrial examples help connect theory to real-world applications such as bubble columns, sprays, fluidized beds, and free-surface flows
IBM Data Engineering: Relational Database Administration
My archived summary notes from the IBM Relational Database Administration course. Covers DBA roles, backups, security, monitoring, and automation using PostgreSQL, MySQL, and Db2. While it's not my specialty, this was a useful deep dive into the systems side of working with relational databases
IBM Data Engineering: Hands-on Introduction to Linux Commands and Shell Scripting
Structured notes from IBM’s "Hands-on Introduction to Linux Commands and Shell Scripting" course. Covers terminal navigation, system commands, scripting logic, filters, redirection, environment variables, and cron job scheduling.
IBM Data Engineering: Databases and SQL for Data Science with Python
Hands-on SQL practice with real-world use cases — from basic queries to joins, views, and transactions — integrated with Python and Jupyter for data science workflows.
IBM Data Engineering: Introduction to Relational Databases
A structured summary of the IBM “Introduction to Relational Databases” course, including key takeaways, ERD design, normalization, and practical notes on MySQL and PostgreSQL. Written as personal study notes for future reference.