Felipe Castrillon

Audio Engineer with 5+ years of experience in audio production, mixing, mastering, sound design, and perceptual sound analysis, currently specialized in AI-driven audio evaluation and quality assurance workflows. Experienced in working with generative audio systems, speech evaluation, voice quality assessment, and AI training environments involving RLHF-style evaluation workflows and dataset validation. Currently working as an AI Audio Specialist and QA Reviewer at micro1, evaluating AI-generated audio outputs, reviewing contributor tasks, and maintaining quality standards across evolving AI production pipelines.

Recognized as a high-performance contributor with early promotion and consistent bonus achievements due to technical accuracy, consistency, and quality control performance. Strong understanding of voice characteristics, intelligibility, artifacts, balance, timbre, clarity, and performance nuance, with the ability to translate creative and technical requirements into reliable audio solutions for AI-focused workflows.

AI Audio Specialist / QA Reviewer at micro1 (2025-03 – Present)

• Evaluate and refine AI-generated audio outputs within speech, dubbing, and generative audio workflows
• Perform perceptual and technical analysis focused on clarity, intelligibility, timbre, balance, artifacts, and overall voice quality
• Review, validate, score, and approve contributor tasks to ensure dataset integrity and consistency across AI training pipelines
• Mix and process audio aligned with quality standards for machine learning and voice-generation systems
• Work within RLHF-style evaluation environments to improve model outputs through structured human feedback
• Collaborate within evolving AI production workflows focused on execution, evaluation, quality assurance, and model refinement
• Recognized as a high-performance contributor through consistent bonus achievements, strong evaluation accuracy, and early promotion
• Maintain high-quality review standards across fast-paced production and contributor evaluation workflows

Audio Engineer (Freelance & Independent Projects) at Independent (2019 – Present)

• 5+ years of experience in audio production, mixing, mastering, and sound design for music and audiovisual content
• Collaborated with artists, creators, and teams to deliver high-quality audio aligned with creative and technical requirements
• Prepared, edited, cleaned, and optimized audio recordings for professional production workflows
• Applied critical listening and quality control processes to ensure clarity, balance, and consistency across productions
• Experience translating ambiguous creative direction into practical technical audio solutions

My professional background started in Film and Digital Communication at Universidad Autónoma de Occidente, where I developed a strong foundation in audiovisual storytelling, digital media, production, editing, and post-production.

I later expanded my focus into sound through Audio Production studies at Universidad ICESI, where I strengthened my skills in recording, editing, mixing, mastering, sound design, and critical listening.

I also completed a Diploma in Multiple Reproduction Systems at Universidad Politécnica de Málaga, which gave me a deeper technical understanding of audio playback, listening environments, and reproduction systems.

Together, this education has shaped the way I approach audio: not only from a technical perspective, but also from a creative and perceptual one. That combination is especially useful in my current work with AI audio evaluation, speech quality, voice systems, and generative audio workflows.