AI Training Specialist | Aeronautical Domain Expert
Micro1
Hi, I’m
Wycliffe Kipleting Rotich
AI Training Specialist
Summary
Aeronautical Engineering professional with specialized experience in AI model evaluation, LLM optimization, prompt engineering, and aerospace technical validation across leading AI platforms including Micro1, Turing, and Mercor. Proven expertise in Reinforcement Learning from Human Feedback (RLHF), response ranking, supervised fine-tuning (SFT), adversarial prompting, and technical fact-checking for large language models operating in engineering domains.
Skilled at bridging advanced aerospace engineering concepts-including aerodynamics, propulsion systems, aircraft structures, avionics, and fluid mechanics-with modern generative AI workflows to improve model accuracy, alignment, and reasoning quality.
Work History
Micro1
AI Training Specialist | Aeronautical Domain Expert
Job overview
- Evaluated and benchmarked AI-generated engineering responses involving aerodynamics, aircraft propulsion, and aerospace systems to improve LLM reasoning accuracy.
- Formulated high-quality prompt-response pairs and generated ground truth datasets used in RLHF and supervised fine-tuning workflows.
- Conducted response ranking exercises comparing multiple LLM outputs for correctness, safety compliance, and instruction adherence.
- Rectified technical inaccuracies and hallucinations within AI-generated aerospace engineering content.
- Collaborated with AI research teams to optimize model behavior using adversarial prompting and red teaming techniques.
Turing
AI Content Evaluator | Engineering SME
Job overview
- Assessed large language model outputs for engineering and scientific accuracy across aerospace-related disciplines.
- Performed technical fact-checking and quality assurance reviews on AI-generated educational and analytical content.
- Designed advanced engineering prompts intended to test model reasoning depth and contextual understanding.
- Ranked and annotated model responses using structured evaluation rubrics for coherence, safety, and factual accuracy.
- Improved AI training datasets through detailed reviewer feedback and technical corrections.
Mercor
LLM Trainer | Aerospace Engineering Expert
Job overview
- Trained and evaluated advanced large language models on aerospace engineering tasks involving aircraft systems and aerodynamics.
- Developed expert-level prompt engineering strategies to stress-test LLM reasoning capabilities.
- Generated and validated technically accurate supervised fine-tuning datasets.
- Reviewed AI-generated outputs for logical consistency, safety compliance, and engineering validity.
- Benchmarked model outputs against established engineering principles and aerospace technical standards.
Education
The Technical University of Kenya
Bachelor of Engineering from Aeronautical Engineering
01.2024
University Overview
GPA: Second Class Honours (Upper Division)
Skills
- RLHF (Reinforcement Learning from Human Feedback)
- Prompt Engineering
- LLM Evaluation
- Response Ranking
- Ground Truth Data Generation
- Model Alignment
- Supervised Fine-Tuning (SFT)
- Adversarial Prompting (Red Teaming)
- Aerodynamics
- Aircraft Structures
- Propulsion Systems
- Avionics
- Technical Fact-Checking
- Content Moderation
- Quality Assurance
- AI Output Validation
Websites
Technical Tools
- Microsoft Excel
- Microsoft Word
- Google Workspace
- AI Evaluation Platforms
- Data Annotation Tools
- Technical Documentation Systems
- Python
- SQL
Timeline
AI Content Evaluator | Engineering SME
Turing
LLM Trainer | Aerospace Engineering Expert
Mercor
The Technical University of Kenya
Bachelor of Engineering from Aeronautical Engineering