
ismail T
AI Orchestration Engineer and Database Architect
Skills

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Work experience
Self Employed
Self-employed • 4 yrs 3 mos
Stepwise/Goplan
Jul 2025 - Present • 10 mos
Acted as the lead architect and full-stack engineer for a portfolio of advanced software applications, high-performance database infrastructures, and intelligent AI integration layers. Successfully managed end-to-end development lifecycles from initial schema design to containerized deployment. Key Projects & Engineering Milestones: goPlan (Full-Stack Orchestration Platform): Designed and built a robust full-stack orchestration platform engineered to handle complex user workflows, scheduling logic, and dynamic state management. Architected the underlying data layer using MariaDB and Docker, enforcing strict normalization paradigms up to 4NF to eliminate data redundancy, prevent transactional deadlocks, and minimize query latency. Stepwise (Intelligent AI Service Layer): Developed a specialized AI orchestration layer designed for algorithmic task deconstruction. Built complex LLM pipelines utilizing programmatic tool-calling and strict framework logic to break abstract, high-level user goals down into deterministic, sequential sub-tasks. Enforced rigid JSON output schemas to ensure seamless application consumption and zero-hallucination execution. Performance Optimization & Automation: Audited and rewrote legacy backend queries, replacing inefficient operations with optimized correlated subqueries, database views, and automated SQL triggers. Containerized entire application architectures using Docker to guarantee continuous integration and 1-click deployment environments.
Computer Science Educator & Technical Mentor
Dec 2022 - Present • 3 yrs 5 mos
Provided professional, 1-on-1 computer science education and technical mentorship to a diverse roster of students, ranging from K-12 to collegiate-level engineering undergraduates. Specialized in breaking down complex, high-level programming concepts into accessible, deterministic learning modules. Core Mentorship & Teaching Areas: Machine Learning: Guided students through the foundational mathematics and programming logic required to build predictive models, clean datasets, and deploy basic machine learning algorithms. App & Web Development: Taught end-to-end full-stack development, helping students architect mobile applications and responsive web platforms from the ground up using modern frameworks. Computer Science Theory: Assisted university-level students with rigorous coursework, including Programming Languages, Operating Systems, data structures, and algorithms. Focused heavily on practical application, code reviews, and debugging sessions, empowering students to move past theoretical knowledge and successfully build functional portfolio projects.