Khalid Mashriqi

AI Engineer with a Software Engineering background, contributing to production-oriented enterprise AI systems.

Experience spans generative AI and LLM applications, agentic workflows, retrieval-augmented generation (RAG), and AI backend services within microservices platforms. Combines model selection and benchmarking with Computer Vision and Document AI experience, supported by knowledge of AI system architecture concepts.

AI Engineer at OpsHeaven Technologies (2025-11 – 2026-09)

Developed AI services and workflows in collaboration with developers and domain stakeholders, integrating LLM capabilities with backend systems and structured application contracts.

• Contributed to ZayAI, a microservices-based enterprise AI platform, developing and enhancing multiple AI capabilities across the Ock and Bind microservices.
• Built AI backend services using Python, FastAPI, PostgreSQL, Redis, and Server-Sent Events (SSE), supporting streaming AI responses, structured data processing, and integration with enterprise services.
• Developed modular AI workflows that combined LLM-powered functionality with deterministic application and business logic.
• Conducted LLM research and benchmarking to inform Low, Medium, and High model tiers, comparing response quality, reasoning capability, latency, Time to First Token (TTFT), speed, and overall performance.
• Built LLM summarization and grounded Q&A workflows for ECAI (Electrical Diagram AI Analyzer) that combined detected symbols, extracted drawing context, and rule-engine findings into structured responses for electrical diagram analysis.
• Contributed to Computer Vision and Document AI workflows involving YOLO symbol detection, OCR/PDF processing, structured extraction, and rule-based compliance checks.
• Integrated AI components with FastAPI and JSON contracts; used retrieval, prompt design, and task-specific validation to ground responses and support consistent downstream use.

AI Training Co-Instructor at OpsHeaven Technologies

Co-delivered one full month of AI training with a colleague for 15 recent graduates, combining theory with practical, hands-on learning.

• Covered AI fundamentals, datasets and data concepts, Python for AI, and AI development concepts.
• Introduced AI tools and workflows for practical AI-related work.

IT Manager at TEDx Hashemite University (2024-08 – 2025-04)

• Led event technology and coordinated digital infrastructure with organizers and partners.

Founder and Team Leader at Sweater Team (2024-02 – 2025-02)

Founded a Hashemite University initiative for technical workshops and hands-on learning.

Bachelor's Degree in Software Engineering – The Hashemite University