Ganiyat E.

Key Skills

Software

No software listed

Top Subject Matter

AI orchestration

workflow automation

structured intent parsing

Top Data Types

Document

Text

Top Task Types

Function Calling

Freelancer Overview

Founder & Core Architect — Dravy (AI orchestration and structured workflow execution). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and N. Education includes Bachelor of Science, Al-Hikmah University (2027). AI-training focus includes data types such as Document, Medical, and DICOM and labeling workflows including Function Calling, Evaluation, and Rating.

Labeling Experience

Founder & Core Architect — Dravy (AI orchestration and structured workflow execution)

DocumentFunction Calling

Built an AI orchestration system that converts user intent into structured plans and executable actions using deterministic workflows and DAG-based execution. Focused on structured output frameworks for analytical reports, dashboards, and simulated dry-runs rather than manual data annotation. The work supports model/tool interaction patterns that are typically required for AI training pipelines and evaluation by enforcing schema-driven, verifiable outputs. • Designed intent capture/parsing into structured intent objects for reliable downstream processing. • Implemented deterministic step-by-step Directed Acyclic Graph (DAG) task execution for consistent outputs. • Developed a multi-system tool orchestration and execution engine routing data across APIs and databases. • Created structured output schemas for reports, dashboards, and execution simulations (dry-runs).

2026 - Present

Medical Research & Technical Content Specialist — Al-Hikmah University (Independent Research)

Produced medical research and technical content by synthesizing anatomy, physiology, and biochemistry into detailed instructional guides and flow diagrams. Conducted laboratory-based investigations involving hematological analysis and specimen identification, supporting validation-style analysis workflows. The role emphasizes translating clinical/biological concepts into structured technical documentation suitable for AI training content preparation and evaluation. • Converted advanced medical concepts into structured technical guides and instructional flow diagrams. • Applied medical biochemistry principles to analyze clinical data and model metabolic processes. • Performed hematological analysis and supported systemic specimen identification. • Focused on scientific writing and logic auditing for technical content accuracy.

2024 - Present

Education

Work History