CAMILO MARLON CALDERON
Kissimmee
Summary
AI evaluation training profile with portfolio exercises in language-model response comparison, instruction-following assessment, evidence-based fact checking, annotation quality, and clear reviewer feedback. Applies structured criteria to analyze whether generated content is accurate, relevant, complete, logically coherent, and useful for the intended audience. Demonstrates a disciplined approach to identifying unsupported claims, ranking alternative responses, documenting uncertainty, and aligning judgments with changing evaluation guidelines. Interested in contributing to Project Hedgehog and other Handshake AI initiatives involving generalist evaluation, prompt development, response improvement, and research-supported quality review.
Overview
2
2
years of professional experience
Work History
Student Technology Assistant
Wayne County Community College District
Maryland, NY
07.2025 - Current
- Resolved basic hardware and software issues for students, staff, and faculty.
- Provided frontline help desk support for login, password, and account access requests.
- Set up classroom equipment, including computers, projectors, and printers, before scheduled sessions.
- Documented service requests accurately and routed complex issues to appropriate technical staff.
- Assisted users with campus software navigation, file access, and network connectivity.
- Maintained computer lab readiness by checking systems, supplies, and workstation functionality.
- Guided students through technology procedures using clear, patient customer service.
- Tracked recurring issues and reported trends to improve support response and user experience.
- Created user guides and tutorials for both students and staff members on utilizing campus-wide technology resources effectively.
- Served as a liaison between IT department and educators, facilitating clear communication and effective problem-solving strategies.
- Promoted responsible digital citizenship among students by educating them on internet safety protocols.
- Provided technical support for faculty, ensuring smooth integration of technology into the curriculum.
- Maintained confidentiality when handling sensitive data or personal information about students'' academic progress.
- Troubleshot technical issues during class sessions, minimizing disruptions to the learning process.
- Implemented software updates and maintained hardware equipment for optimal functionality within the learning environment.
Peer Tutor
Wayne County Community College District
Maryland, NY
09.2024 - 03.2025
- Explained course concepts clearly, adapting tutoring approach to individual learning styles.
- Reinforced study skills, note-taking methods, and exam preparation strategies during tutoring sessions.
- Supported students with homework questions, practice problems, and assignment review.
- Guided learners through academic resources, including labs, handouts, and instructor recommendations.
- Maintained accurate session records and followed tutoring center procedures.
- Communicated professionally with students, instructors, and staff to support academic progress.
- Fostered confidence and independence by encouraging effective problem-solving techniques.
- Helped fellow students prepare for quizzes and examinations.
- Assisted other students with homework and provided supplementary instruction.
- Promoted development of good study habits and learning skills.
Education
Associate of Arts - Information Technology
Wayne County Community College District
Detroit, MISkills
- LLM assessment side-by-side response ranking
- Instruction adherence
- Accuracy and completeness
- Answer improvement
- Prompt quality task interpretation
- Constraint extraction
- Prompt variation
- Ambiguity identification
- Data quality text labeling
- Annotation consistency
- Taxonomy application
- Error categorization
- Research & reasoning source credibility
- Claim verification
- Logical consistency
- Uncertainty reporting
- Quality assurance rating rubrics
- Error severity
- Reviewer calibration
- Escalation and documentation
- Communication comparative rationales
- Concise technical writing
- Clear feedback
- English-language review
- LLM chat and prompt interfaces; browser-based annotation and model-comparison workflows
- Microsoft Word, Excel, Google Docs, Google Sheets; CSV inspection; structured scoring matrices
- Browser research, source comparison, reviewer notes, error logs, and guideline revision tracking
- English reading comprehension and analytical writing; structured argument evaluation; research literacy; prompt engineering principles; responsible-AI awareness; confidentiality; accurate task documentation; independent prioritization; adaptability to project-specific rubrics
- Computer assembly
- Network support
- Remote support
- Video editing
- E-learning platforms
- Hardware maintenance
- Data management
- User training
- Online research
- Virtualization technologies
- Audio visual equipment
Accomplishments
Achieved 95% first-contact resolution rate by completing technical troubleshooting for students and faculty with accuracy and efficiency.
Achieved improved user satisfaction through effectively helping with Canvas LMS navigation, Microsoft 365 setup, and campus Wi-Fi connectivity issues.
Achieved 30% reduction in repetitive support tickets by introducing step-by-step troubleshooting guides for common login and password reset tasks.
Provided frontline IT support to 50+ students and faculty weekly, resolving hardware, software, and network issues in computer labs and classrooms
Timeline
Student Technology Assistant
Wayne County Community College District
07.2025 - Current
Peer Tutor
Wayne County Community College District
09.2024 - 03.2025
Associate of Arts - Information Technology
Wayne County Community College District
CANDIDATE PROFILE SCOPE
This document is a skills-based training CV. The portfolio items are illustrative practice exercises, not verified paid appointments, degree qualifications, project placements, or certifications. Project Hedgehog is a target opportunity, not a claimed prior assignment.
HANDSHAKE AI PROJECT ALIGNMENT
- Generalist model evaluation
- AI-generated content review
- Prompt creation and refinement
- Research-supported fact checking
- Structured data annotation
- Response comparisons
- Guideline-based scoring
- Independent asynchronous task execution.
EVALUATION METHOD & QUALITY CONTROLS
- Interpret the task: identify user intent, audience, instructions, constraints, and expected deliverable.
- Assess independently: read each response before comparing outputs; record strengths and errors against fixed criteria.
- Check the evidence: confirm claims against available reliable sources and flag information that cannot be verified.
- Severity and preference: distinguish major accuracy failures from minor readability issues and justify the stronger response.
- Document and calibrate: write reproducible rationales, revisit borderline judgments, and incorporate updated guidance.
Personal Information
Title: AI MODEL EVALUATION PROMPT & RESPONSE REVIEW DATA ANNOTATION