Ahmed Albaalawy-Mechanical & Energy Engineer | Python | AI Trainer & Evaluator | R&D / QA
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Experience
Quantum Optimization for Power Grid Unit Commitment
Politecnico di Milano
- Reformulated a four-unit Mixed-Integer Linear Programming Unit Commitment problem into a 9-qubit QUBO formulation and implemented QAOA in Python/Qiskit.
- Benchmarked results against the exact MILP global optimum and achieved an approximation ratio of 1.0 with the tuned configuration.
- Diagnosed failure modes involving penalty scaling, constraint evasion, reproducibility, Hamming-distance barriers, and optimizer behavior; compared SLSQP and COBYLA.
Bogdanci Wind Park - Technical & Financial Due Diligence
Politecnico di Milano
- Performed wind-resource analysis, turbine-performance evaluation, layout optimization, grid-integration assessment, and technical/risk review; delivered structured quantitative recommendations.
CSP Tower Optimization - Solar Multiple & Thermal Storage
SolarTech Lab, Politecnico di Milano
- Ran simulation-based optimization and quantitative analysis to evaluate cost-effective solar-multiple and thermal-storage sizing under variable operating conditions.
Teaching Assistant - Mechanical Engineering
Faculty of Engineering, Benha University
- Reviewed and graded engineering calculations, assignments, reports, laboratory work, and exams; checked assumptions, formulas, intermediate steps, and final results against consistent criteria.
- Delivered tutorials and laboratory sessions and explained quantitative engineering methods through reproducible, step-by-step reasoning.
Computer Science Instructor
iSchool
- Teach programming, computational thinking, AI, and machine-learning concepts to students aged 6-18, primarily 8-16, using Python, Godot, block-based learning, and Minecraft Education.
- Evaluate coding exercises and projects, diagnose conceptual and implementation errors, and provide structured, level-appropriate feedback.
- Use Notion, Google Sheets, and a specialized LLM-based feedback system to support learning activities, assessment, organization, and student feedback.
Double-Stage Shrouded Horizontal-Axis Wind Turbine
Benha University
- Designed, built, tested, and analyzed an experimental wind-energy system; led data acquisition and results interpretation and contributed extensively to research manuscript preparation.
AI Training & Data Annotation Contributor
Outlier
- Reviewed model-generated outputs against detailed project instructions and evaluation criteria, checking technical correctness, logical consistency, relevance, completeness, clarity, and instruction adherence.
- Applied structured annotation and scoring frameworks, documented concise rationales, and flagged ambiguous, inconsistent, or out-of-scope cases when required.
- Identified the earliest reasoning or methodology error in multi-step responses, including cases where downstream steps or the final answer appeared plausible.
- Worked independently on quality-sensitive tasks requiring precision, consistency, rapid guideline learning, and reliable written feedback.
Industry Experience
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Experienced in Education and Energy.
Business Area Experience
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Experienced in Information Technology, Research and Development, Product Development, Operations, Quality Assurance, and Finance.
Summary
Mechanical engineer and AI-training contributor. Experienced in reviewing model outputs, auditing technical content, applying detailed guidelines, identifying logical or factual errors, and producing structured feedback. Strong fit for FRATCH projects spanning Mechanical Engineering + Python, AI model training, Quality Assurance, R&D, technical content review, data/AI evaluation, and energy-sector assignments.
Skills
- Programming & Data: Python, Numpy, Matplotlib, Qiskit, Matlab, Data Analysis, Numerical Modeling, Automation, Debugging, Machine-Learning Fundamentals.
- Ai / Llm Evaluation: Data Annotation, Model-Output Evaluation, Prompt/Instruction Adherence, Rubric-Based Review, Reference-Answer Validation, Structured Feedback, Quality Assurance.
- Optimization & Mathematics: Milp, Qubo/Ising, Qaoa, Slsqp, Cobyla, Constraint Analysis, Quantitative Modeling, Numerical Benchmarking.
- Engineering Tools: Solidworks, Autocad, Proteus, Arduino Ide, Cnc Machining, Experimental Instrumentation, Laser Tachometry, Mechanical Torque Measurement.
- Education Technology: Godot, Minecraft Education, Block-Based Programming, Notion, Google Sheets, Llm-Assisted Feedback Workflows.
Languages
Education
Politecnico di Milano
M.Sc. Energy Engineering · Energy Engineering · Milan, Italy · 100/110
Benha University
B.Sc. Mechanical Power Engineering · Mechanical Power Engineering · Egypt · 84.28%
Statistics
Experience
Global Experience
Expertise
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