work Phase IV – Production Cloud Migration & GitOps Deploy Edge Configurations to Cloud Prod (e.g. AWS EKS) To run this in production, use Terraform to provision an AWS EKS cluster with auto-scaling GPU... Phase III – Containerization & Local Deployment Fix Container Inter-Process Communication (IPC) and Manage VRAM Build a custom Docker image (triton-custom:24.08) that bundles Triton Server with PyTorch, vLLM dependencies, and ONNX Runtime... Phase II – Config Compilation Engine Automate Triton Configs with Jinja2 Hand-crafting Triton’s config.pbtxt files for multiple models leads to broken setups. Instead, build a simple script to generate these files... Phase I- Host Prerequisites & K3s Runtime Patching Configure GPU Access on Bare-Metal K3s First, set up your local workspace by creating directories for code, deployment files, scripts, templates, and model files (apps/,... Cloud-Agnostic Multi-Modal Model Serving Engine This guide walks through setting up a local multi-modal model serving stack on single-node K3s and migrating it to AWS EKS. It replaces single-user CLI... The SEC’s Hidden Map: The Power Behind Regulatory Filings and the Creation of Institutional Hierarchy A 22-Year Journey Through Corporate Connections The Money Map: A Visual Guide to Corporate Connections Quantitative Mapping of Corporate Control: Affiliation vs. Ownership Networks The Mirror in the Market: A Tale of Two Triangles Does Experience Help? Exploring the Link Between Tenure and Accuracy Why Two Decades of Practice Haven’t Fixed Financial Reporting The 9-Million-Point Mirror: A Longitudinal Study of Form 4 Filings Following the Data Engineering journey, a massive treasure trove of information has been gathered—a dataset comprising 9,201,642 distinct observations captured between 2003 and 2025. This... Data Preparation and Engineering Architecture of the SEC Data Pipeline: From Unstructured Filings to Longitudinal Insight In order to assess the compliance rate over the years, a specialized pipeline... fun
