DC · Maryland · Virginia

Jabreneé
Hussie

Content Operations & Media Coordination

I work at the intersection of content operations, media coordination, and mission-driven work, bringing production discipline and a genuine investment in the communities I serve. CMU Master of Entertainment Industry Management · Delaware State B.S. Information Technology, Summa Cum Laude.

Areas of Practice

01

Content & Media Operations

End-to-end production management, catalog coordination, metadata, digital asset workflows, and content distribution across platforms.

02

Research & Strategic Analysis

Primary qualitative research, executive stakeholder interviews, industry analysis, and data-informed recommendations.

03

Audio Production & Licensing

Podcast production, sync licensing coordination, cue sheet documentation, and music rights administration.

Projects &
Case Studies

01 / Featured

Content Production & Operations

Arts Management & Technology Laboratory · CMU · 2023–2024

Managed end-to-end production for 16 podcast episodes at CMU's AMT Lab, covering the intersection of arts, technology, and media innovation. Handled every stage of the production pipeline, including recording, editing, transcript creation, and multi-platform distribution, while running monthly analytical reports to inform operational decisions. Identified a structural gap in the content model and redesigned the release strategy from standalone episodes into two serialized series (Art & Code and Art & Climate), improving discoverability, listener consistency, and long-term retention.

Descript Audacity Otter.ai Libsyn Spotify Apple Music
Outcome 16 episodes produced and published · Two serialized content series launched · Monthly analytics reports delivered to inform programming decisions

02 / Featured

Applied Research: Audio Analysis & Machine Learning

Delaware State University · Honors Thesis & Capstone · 2022

Built a multilingual speech emotion recognition model using deep learning and convolutional neural networks, designed to classify emotional states from audio input across five languages. The model achieved 85% accuracy, a 39% improvement over comparable research, because it was trained on linguistically diverse data rather than the English-only datasets that dominate the field. The research has direct implications for audio metadata classification, accessibility technology, and AI-driven content analysis in media contexts.

Python CNN Architecture Deep Learning NLP Data Analysis
Outcome 85% classification accuracy across 5 languages · 39% improvement over existing research benchmarks · Completed Honors Thesis View Honors Thesis →

03

Industry Research & Stakeholder Analysis

Carnegie Mellon University · Graduate Capstone · 2024–2025

Conducted original primary research into how independent record labels are adapting their strategies in response to DSPs, social media, and direct-to-fan models, developed in partnership with Shaboom Records. To ground the analysis in real industry practice, conducted executive interviews with leaders at Position Music, Beatport, and Rostrum Records. Those conversations informed a cross-company analysis of revenue diversification, catalog strategy, audience development, and platform dependency, surfacing three core structural tensions defining where independent labels stand today.

Qualitative Research Executive Interviews SWOT Analysis Strategic Frameworks
Outcome Executive interviews with 4+ industry leaders · Cross-company strategic analysis · Full capstone research report delivered to industry partner

04

Music Licensing & Audio-Visual Coordination

Carnegie Mellon University · Music Supervision Course · 2024

Applied professional music supervision methodology to two film sequences, selecting and licensing music based on scene tone, emotional arc, pacing, and rights parameters. Produced full spotting notes, the industry-standard documentation used to coordinate between directors, composers, and licensing teams, for each assignment. Work included a re-score of a key scene from Waiting to Exhale and a 30-minute supervised edit of The Truth About Cats and Dogs. This work sits at the intersection of rights administration, content metadata, and editorial coordination.

Spotting Notes Sync Licensing DISCO Cue Sheets Rights Documentation
Outcome 2 fully supervised film sequences · Professional spotting notes produced · Applied licensing parameters and rights clearance methodology View Spotting Notes →

Skills &
Tools

Content & Media Operations

  • DISCO catalog management
  • Metadata coordination
  • Cue sheet documentation
  • Digital asset management
  • Multi-platform distribution
  • Content workflow design
  • Libsyn · Spotify · Apple Music

Audio Production

  • Descript
  • Audacity
  • Otter.ai transcript production
  • Podcast production (16 eps)
  • Serialized content architecture
  • Sync licensing coordination
  • Spotting notes

Research & Analysis

  • Qualitative research design
  • Executive stakeholder interviews
  • SWOT & competitive analysis
  • Analytical reporting
  • Strategic frameworks
  • Machine learning (CNN, NLP)
  • Python · Data Analytics

Project & Production Coordination

  • End-to-end project management
  • Cross-functional coordination
  • Production timelines
  • Brand partnerships
  • Talent & vendor management
  • Event & campaign logistics

Content Strategy & Creation

  • Editorial planning
  • Branded content strategy
  • Audience development
  • Cultural market analysis
  • Canva · Presentation design
  • Copywriting & narrative

Education

  • M.S. Entertainment Industry Mgmt
  • Carnegie Mellon University · 2025
  • B.S. Information Technology
  • Delaware State University · 2023
  • Summa Cum Laude · Honors Program
  • AI Evaluation Fellow · Handshake

About

Quick Facts

  • Location Upper Marlboro, MD · Available across DMV
  • Current Role AI Evaluation Fellow · Handshake (part-time)
  • Experience Sync licensing & catalog at Position Music · Production coordination at Shades Collective · Podcast production at AMT Lab
  • Specialty Bridging creative media work with technical operations and data analysis
  • Available For Full-time roles · Contract & coordination work

I'm Jabreneé Hussie, a content operations and media coordination professional based in the DMV, with a background that runs from sync licensing and catalog management to machine learning research and podcast production. I hold a Master of Entertainment Industry Management from Carnegie Mellon's Heinz College and a B.S. in Information Technology from Delaware State University, where I graduated Summa Cum Laude from the Honors Program.

My technical foundation is what makes me different. Most people working in content and media operations have one background or the other. I have both.

At Position Music, I managed catalog curation in DISCO, handled cue sheet documentation for NBC Sports placements, and coordinated across 200+ sync placements. At Shades Collective, I worked on production coordination and brand partnerships. At CMU's Arts Management & Technology Lab, I ran end-to-end podcast production and content strategy for an entire academic year. Throughout, I've treated operations as a craft. The cleaner the workflow, the better the work that moves through it. I thrive in environments with clear timelines, defined workflows, and operational structure — and I bring that same clarity to every team I work with.

My undergraduate honors thesis built a multilingual speech emotion recognition model in Python using convolutional neural networks, and that work now informs how I think about audio metadata, content classification, and AI-adjacent media roles. I'm drawn to organizations where cultural programming, content systems, and community impact intersect: nonprofits, universities, associations, and public-sector institutions doing meaningful work in the DMV region.