Said Mustafa Said

Architected and solo-engineered a Git-native, deterministic structural intelligence ecosystem that transforms massive, fragmented source codebases into interactive topological resonance graphs — the Synapse. Built from first principles with zero LLMs in the analysis pipeline, the platform delivers provable, mathematically rigorous architectural intelligence through six formal algorithms (Kahn, Tarjan SCC, PageRank, Weighted Dijkstra, Shannon Entropy, DAAC Clustering), a multi-core Map-Reduce ingestion engine, a 9-tool Model Context Protocol (MCP) server for autonomous AI-agent governance, a real-time Visual Command Center (Kinetic Mirror at port 3333), and a Universal Structural DNA schema supporting 14 language grammars. The system ingests 9,230 nodes and 61,352 edges in under 9 seconds, serves cross-repository federated analysis, enforces deterministic CI/CD regression guards, and provides full behavioral execution tracing from entry point to leaf symbol. Simultaneously, a professional Next.js marketing website was engineered as the public face of the platform, complete with a glassmorphic design system, i18n content architecture, and a custom component library. The platform represents a novel approach to AI-pair-programming infrastructure: structural intelligence as a continuous, navigable graph rather than static text.

Architected and implemented a high-fidelity career calibration engine (v11.0) that transforms multi-modal evidence into a deterministic 12-axis capability radar. Built to replace arbitrary scoring with geometric identity inference.

A production-deployed, polyglot microservices platform that automates the full CV-to-job-application lifecycle using a 6-agent LLM orchestration pipeline, a dedicated ATS-optimized PDF rendering service, a Rust-based fire-and-forget telemetry sink, and a real-time admin control plane. Built across five independently deployable services (Go, Python, Rust, Node.js, Next.js) sharing a single PostgreSQL backend with dual-schema architecture (business logic + analytics). Implements a tiered billing engine with BYOK API key encryption, an atomic guest-to-user migration pipeline, and job-scoped immutable CV snapshots that preserve a reproducible per-application evidence trail. Live at mycvpath.com.

Built comprehensive enterprise-grade AI platform from scratch with custom multi-agent framework, advanced monitoring system, and scalable microservices architecture capable of handling 10+ million users. Developed as the third-tier AI backend service interfacing with frontend and user backend systems.

Conducted strategic CEO meeting and delivered comprehensive enterprise ML solution with advanced analytics capabilities, building sophisticated end-to-end ML pipeline from data collection to model deployment with comprehensive fine-tuning and optimization.

Developed enterprise-grade internal AI-powered automation system for comprehensive infrastructure management and orchestration using advanced prompt engineering to generate Terraform configurations and orchestrate service deployments.

Architected and created comprehensive enterprise EKS-based MLOps platform with sophisticated CI/CD integration, Kubeflow deployment, and advanced model orchestration for machine learning lifecycle management.

Developed intelligent query generation system for large-scale database operations with multi-step agentic system and context splitting capabilities to solve long-context prompt challenges.

Developed enterprise-grade fully automated OCR pipeline for restaurant menu processing using advanced AWS Bedrock AI capabilities, processing 100+ menu images with sophisticated Claude 3 Haiku and Sonnet models.

Successfully migrated 400+ tables from SQL Server to RDS MySQL in 6-hour production window using AWS DMS, with complex data transformation and automated maintenance systems.