Jeffrey Linsangan

JEFFREY CRISTOBAL LINSANGAN PROFESSIONAL SUMMARY Mechanical Engineer (MSc) with a strong analytical foundation and practical experience applying data-driven methods to engineering problems, production diagnostics, and digital analytics. Skilled in Python-based data workflows, scenario design, and evaluation methodologies for model validation and AI-assisted engineering tools. Demonstrated ability to translate engineering domain knowledge (thermodynamics, CFD, FEA) into measurable project outcomes. Seeking roles in AI training, agent evaluation, or engineering analytics where rigorous testing, technical writing, and system-level reasoning are required. EDUCATION • • Master of Science (MSc), Mechanical Engineering - Mindanao State University,- Bachelor of Technology (B. Tech), Mechanical Engineering - University of San Carlos (USC),- TECHNICAL SKILLS • • • • AI / ML and Evaluation LLM evaluation basics, prompt engineering, model output validation, annotation, and gold-standard creation; familiarity with ML concepts such as supervised learning, regression, and model validation metrics (precision/recall, RMSE). Programming and Tools Python (pandas, NumPy, basic scripting for automation and data parsing); SQL (basic queries); Excel (advanced); Google Sheets; JSON, YAML; basic shell scripting. Mechanical Engineering Domain Thermodynamics, Heat Transfer, Fluid Mechanics, Solid Mechanics, Dynamics, Vibration; Mechanical Design, CAD (SolidWorks, AutoCAD, Inventor); FEA and CFD concepts and validation workflows. Methodologies and Soft Skills Scenario design, edge-case analysis, QA and test-case thinking, root-cause analysis, technical writing, stakeholder reporting, and structured experimental design. PROFESSIONAL EXPERIENCE Digital Marketer and Social Media Analyst: Amini K Furniture | 2023 - Present • • Built automated ad-performance reporting pipelines using Python to clean CSV exports, compute KPIs, and generate weekly dashboards for management. Designed A/B tests for creative and targeting that improved campaign ROI; used hypothesis-driven experiments and metric-based decision-making. • Introduced reproducible reporting templates and documented data-cleaning steps to reduce reporting time and improve transparency. Mechanical Diagnostics and Workshop Technician: Public Works and Transport, Quezon | Sep - Nov 2022 • • Performed structured subsystem diagnostics (engines, fuel systems, transmission, braking) with systematic data collection and stepwise troubleshooting. Produced technical inspection reports that included measurement logs, test procedures, and recommended corrective actions, applying experimental discipline to complex systems. Mechanical Production Intern: Production Workshop and Automotive Garage | Aug– Sep 2021 • • Assisted with CAD-based design verification, lathe and milling operations, engine assembly, and tolerance measurement procedures. Applied engineering drawings and measurement tools to verify component fit and performance. Freelance and Personal Projects: AI and Engineering Evaluation | 2024 -Present • • Developed evaluation scenarios and JSON and YAML test banks to stress-test LLM responses for engineering troubleshooting tasks. Created Python utilities to batch-run prompts, parse outputs, and compute simple consistency metrics; documented failure modes and suggested prompt refinements for better reliability. SELECTED PROJECTS 1. CFD Surrogate Model for Heat-Exchanger Design (Project - 2024) • Built a proof-of-concept workflow combining simplified CFD runs with an ML regression surrogate (Python) to accelerate parametric exploration. Performed mesh-sensitivity checks, validated surrogate RMSE against holdout cases, and documented limitations and recommended guardrails for engineers. 2. LLM-based Engineering Q&A Evaluation Suite (Project - 2024) • Designed a 40+ scenario test bank simulating common mechanical troubleshooting prompts (ambiguous inputs, missing constraints, contradictory requirements). Implemented a Python script to batch prompts to models, parse outputs, and flag inconsistent or unsafe advice; authored gold-standard answers for evaluation and iterative prompt refinement. PROFESSIONAL DEVELOPMENT • • Ongoing: Advanced Python for Data Science Introduction to Prompt Engineering & LLM evaluation. Certifications • • Social Media Strategy — Digital Marketing Institute Certified Community Manager — Community Management Institute. ADDITIONAL INFORMATION • • • Languages: English (Fluent), Filipino (Fluent), Spanish (Intermediate). Location: Philippines — available for remote, part-time, or contract work. Referees: Available on request.