Allan Riddel

Professional Summary

🎯 Senior IT professional with 35+ years of experience across the full Microsoft technology stack, from applications to servers. Strong background in the design, development, and deployment of enterprise systems and tools. Skilled at managing multiple priorities in dynamic environments while ensuring system stability, performance, and business continuity.

🔧 Technical Troubleshooting & Problem Resolution

Provide senior‑level escalation support for enterprise environments, specializing in application troubleshooting, web application diagnostics, and client/server problem resolution. Broad expertise includes the Microsoft stack as well as Linux platforms and their web technologies, including Apache and NGINX, along with load balancing and multi‑tier infrastructures. Skilled in automation, PowerShell scripting, Datadog monitoring, and Jenkins workflows. Experienced in diagnosing and resolving performance bottlenecks, application failures, authentication issues, and infrastructure conflicts. Adept at tracing problems across distributed systems, delivering clear root‑cause analysis, and restoring service reliability under demanding conditions. Recognized for applying systematic, architecture‑level solutions that strengthen operational resilience and long‑term stability.

🚀 PQCrypta.com: Cryptographic Platform

PQCrypta is a cryptographic platform designed and engineered by Allan, integrating a post-quantum encryption API, neural compression systems, and a dynamic UI. Built as a portfolio artifact that reflects deep systems expertise across the entire stack—from backend logic to frontend experience.

Core professional background in root cause analysis, support engineering, and middleware diagnostics. PQCrypta demonstrates the ability to architect and deliver complete systems with:

• NIST-compliant post-quantum encryption algorithms including ML-KEM-1024, ML-DSA-87, and SLH-DSA-SHA2-256s
• Neural compression engine powered by 14 algorithms and AI optimization
• Modular API supporting encryption, key generation, benchmarking, and compression workflows
• Multi-page UI with interactive demos, documentation, music integration, and educational animations

The platform showcases capabilities across multiple domains:

• Diagnosing and resolving complex system behaviors across Microsoft and Linux environments
• Designing scalable, secure architectures under resource constraints
• Integrating AI/ML models for performance prediction, threat detection, and algorithm selection
• Delivering polished, multi-layered user experiences that blend technical depth with creative branding

Primary expertise in systemic remediation—identifying failure patterns, isolating root causes, and restoring operational integrity across distributed platforms. Career focused on support escalation, observability (Datadog, App Insights), CI/CD pipeline stabilization, and SharePoint and Microsoft 365 architecture.

🧠 AI/ML Architecture & Implementation

Integrated Groq API with Llama 3.3 70B model for ultra-fast LLM inference (750+ tokens/second). Built advanced RAG chatbot with FAISS vector store indexing 37,760 code chunks using 384-dimensional embeddings (all-MiniLM-L6-v2). Implemented hybrid search pipeline combining dense retrieval (FAISS) and sparse retrieval (BM25) with cross-encoder re-ranking for accurate context retrieval. Deployed PyTorch neural networks (LSTM, CNN) for threat detection and scikit-learn models (Random Forest, SVM, XGBoost) for classification tasks.

🔐 Security & Verification Systems

Built threat detection system with PyTorch neural networks and ensemble prediction models using feature extractors for multi-dimensional security analysis. Implemented real-time attack vector probability analysis with ThreatCategory classification covering cryptanalysis, side-channel attacks, protocol vulnerabilities, implementation flaws, and persistent threats. Developed authentication framework with API key management, session handling, rate limiting, and comprehensive audit logging.

🔒 Integrated PostgreSQL database layer with connection pooling and parameterized queries for secure data operations. Established security protocols including input validation, secure memory management, and encrypted communication channels with compliance monitoring for GDPR and HIPAA requirements.

🚀 Cryptographic Implementation

Developed PyO3-based Rust-Python integration for seamless ML model deployment within memory-safe cryptographic workflows. Built WebGPU compute shaders for accelerated polynomial operations with AVX-512 SIMD optimizations. Implemented ML pipeline with threat detection system, performance prediction system, and algorithm selection system achieving real-time analysis capabilities.

⚡ Implemented ML-powered threat prediction system with confidence scoring and model ensemble validation for security intelligence. Developed streaming encryption service with chunked processing for real-time encrypt/decrypt operations. Built batch processing engine with distributed job management and queue coordination.

🚀 Infrastructure & API Development

Developed Rust API server serving 395 endpoints (227 core services + 168 algorithm-specific endpoints for 28 quantum-resistant algorithms) with HTTP/3 WebTransport (Quinn/h3-quinn, port 4433) and HTTP/2 (Axum framework, port 3003) support across cryptographic operations, authentication, analytics, blockchain, compliance, batch processing, streaming, ML/AI, and system management. Implemented async/await architecture using Tokio runtime for high-performance concurrent operations with memory-safe Rust featuring zero-copy operations and constant-time cryptography. Built analytics system with KPI tracking, security monitoring, and performance metrics collection. Compiled custom nginx web server with OpenSSL 3.5.0 and OQS (Open Quantum Safe) liboqs integration for hybrid TLS 1.3 using X25519MLKEM768 (NIST ML-KEM-768/Kyber768 + classical X25519 ECDH) key exchange with HTTP/3 QUIC support and dual-stack IPv4/IPv6 binding.

🐍 Established Python ML integration layer with threat detection, performance prediction, and algorithm selection services. Implemented batch processing system with distributed job management and background task scheduling at scale. Created streaming encryption capabilities with chunked processing for large file operations and real-time data handling. Integrated real-time blockchain infrastructure with smart contracts, consensus mechanisms, mining capabilities, and WebSocket communication for live updates.