In 1967, a pregnant woman is attacked by a vampire, causing her to go into premature labor. Doctors are able to save her baby, but the woman dies. Thirty years later, the child has become the vampire hunter Blade, who is known as the daywalker, a human-vampire hybrid that possesses the supernatural abilities of the vampires without any of their weaknesses, except for the requirement to consume human blood. Blade raids a rave club owned by the vampire Deacon Frost. Police take one of the vampires to the hospital, where he kills Dr. Curtis Webb and feeds on hematologist Karen Jenson, and escapes. Blade takes Karen to a safe house where she is treated by his old friend Abraham Whistler. Whistler explains that he and Blade have been waging a secret war against vampires using weapons based on their elemental weaknesses, such as sunlight, silver, and garlic. As Karen is now “marked” by the bite of a vampire, both he and Blade tell her to leave the city. At a meeting of the council of pure-blood vampire elders, Frost, the leader of a faction of younger vampires, is rebuked for trying to incite war between vampires and humans. As Frost and his kind are not natural-born vampires, they are considered socially inferior. Meanwhile, returning to her apartment, Karen is attacked by police officer Krieger, who is a familiar, a human loyal to vampires. Blade subdues Krieger and uses information from him to locate an archive that contains pages from the “vampire bible.” Krieger informs Frost of what happened, and Frost kills Krieger. Frost also has one of the elders executed and strips the others of their authority, in response to the earlier disrespect shown to him at the council of vampires. Meanwhile, Blade comes upon Pearl, a morbidly obese vampire, and tortures him with a UV light into revealing that Frost wants to command a ritual where he would use 12 pure-blood vampires to awaken the “blood god” La Magra, and Blade’s blood is the key. Later, at the hideout, Blade injects himself with a special serum that suppresses his urge to drink blood. However, the serum is beginning to lose its effectiveness due to overuse. While experimenting with the anticoagulant EDTA as a possible replacement, Karen discovers that it explodes when combined with vampire blood. She manages to synthesize a vaccine that can cure the infected but learns that it will not work on Blade. Karen is confident that she can cure Blade’s bloodthirst but it would take her years of treating it. After Blade rejects Frost’s offer for a truce, Frost and his men attack the hideout where they infect Whistler and abduct Karen. When Blade returns, he helps Whistler commit suicide. When Blade attempts to rescue Karen from Frost’s penthouse, he is shocked to find his still-alive mother, who reveals that she came back the night she was attacked and was brought in by Frost, who appears and reveals himself as the vampire who bit her. Blade is then subdued and taken to the Temple of Eternal Night, where Frost plans to perform the summoning ritual for La Magra. Karen is thrown into a pit to be devoured by Webb, who has transformed into a decomposing zombie-like creature. Karen injures Webb and escapes. Blade is drained of his blood, but Karen allows him to drink from her, enabling him to recover. Frost completes the ritual and obtains the powers of La Magra. Blade confronts Frost after killing all of his minions, including his mother, but initially finds him too powerful to defeat. Blade injects Frost with all of the syringes of EDTA, and the overdose causes his body to inflate and explode, finally killing him. Karen offers to help Blade cure himself; instead, he asks her to create an improved version of the serum so he can continue his crusade against vampires. In a brief epilogue, Blade confronts a vampire in Moscow.
The Introduction Of AI
WALTER REID — FUTURE RESUME: SYSTEMS-LEVEL PERSONA EDITION
This is not a resume for a job title. It is a resume for a way of thinking that scales.
🌐 SYSTEM-PERSONA SNAPSHOT
Name: Walter Reid
Identity Graph: Game designer by training, systems thinker by instinct, product strategist by profession.
Origin Story: Built engagement systems in entertainment. Applied their mechanics in fintech. Codified them as design ethics in AI.
Core Operating System: I design like a game developer, build like a product engineer, and scale like a strategist who knows that every great system starts by earning trust.
Primary Modality: Modularity > Methodology. Pattern > Platform. Timing > Volume.
What You Can Expect: Not just results. Repeatable ones. Across domains, across stacks, across time.
🔄 TRANSFER FUNCTION (HOW EACH SYSTEM LED TO THE NEXT)
▶ Viacom | Game Developer
Role: Embedded design grammar into dozens of commercial game experiences.
Lesson: The unit of value isn’t “fun” — it’s engagement. I learned what makes someone stay. Carry Forward: Every product since then — from Mastercard’s Click to Pay to Biz360’s onboarding flows — carries this core mechanic: make the system feel worth learning.
▶ iHeartMedia | Principal Product Manager, Mobile
Role: Co-designed “For You” — a staggered recommendation engine tuned to behavioral trust, not just musical relevance.
Lesson: Time = trust. The previous song matters more than the top hit. Carry Forward: Every discovery system I design respects pacing. It’s why SMB churn dropped at Mastercard. Biz360 didn’t flood; it invited.
▶ Sears | Sr. Director, Mobile Apps
Role: Restructured gamified experiences for loyalty programs.
Lesson: Gamification is grammar. Not gimmick. Carry Forward: From mobile coupons to modular onboarding, I reuse design patterns that reward curiosity, not just clicks.
▶ Mastercard | Director of Product (Click to Pay, Biz360)
Role: Scaled tokenized payments and abstracted small business tools into modular insights-as-a-service (IaaS). Lesson:Intelligence is infrastructure. Systems can be smart if they know when to stay silent. Carry Forward: Insights now arrive with context. Relevance isn’t enough if it comes at the wrong moment.
▶ Adverve.AI | Product Strategy Lead
Role: Built AI media brief assistant for SMBs with explainability-first architecture. Lesson: Prompt design is product design. Summary logic is trust logic. Carry Forward: My AI tools don’t just output. They adapt. Because I still design for humans, not just tokens.
🔌 CORE SYSTEM BELIEFS
* Modular systems adapt. Modules don’t.
* Relevance without timing is noise. Noise without trust is churn.
* Ethics is just long-range systems design.
* Gamification isn’t play. It’s permission. And that permission, once granted, scales.
* If the UX speaks before the architecture listens, you’re already behind.
✨ KEY PROJECT ENGINES (WITH TRANSFER VALUE CLARITY)
iHeart — For You Recommender
Scaled from 2M to 60M users
* Resulted in 28% longer sessions, 41% more new-artist exploration.
* Engineered staggered trust logic: one recommendation, behaviorally timed.
* Transferable to: onboarding journeys, AI prompt tuning, B2B trial flows.
Mastercard — Click to Pay
Launched globally with 70% YoY transaction growth
* Built payment SDKs that abstracted complexity without hiding it.
* Reduced integration time by 75% through behavioral dev tooling.
* Transferable to: API-first ecosystems, secure onboarding, developer trust frameworks.
Mastercard — Biz360 + IaaS
Systematized “insights-as-a-service” from a VCITA partnership
* Abstracted workflows into reusable insight modules.
* Reduced partner time-to-market by 75%, boosted engagement 85%+.
* Transferable to: health data portals, logistics dashboards, CRM lead scoring.
Sears — Gamified Loyalty
Increased mobile user engagement by 30%+
* Rebuilt loyalty engines around feedback pacing and user agency.
* Turned one-off offers into habit-forming rewards.
* Transferable to: retention UX, LMS systems, internal training gamification.
Adverve.AI — AI Prompt + Trust Logic
Built multimodal assistant for SMBs (Web, SMS, Discord)
* Created prompt scaffolds with ethical constraints and explainability baked in.
* Designed AI outputs that mirrored user goals, not just syntactic success.
* Transferable to: enterprise AI assistants, summary scoring models, AI compliance tooling.
🎓 EDUCATIONAL + TECHNICAL DNA
* BS in Computer Science + Mathematics, SUNY Purchase
* MS in Computer Science, NYU Courant Institute
* Languages: Python, JS, C++, SQL
* Systems: OAuth2, REST, OpenAPI, Machine Learning
* Domains: Payments, AI, Regulatory Tech, E-Commerce, Behavioral Modeling
🏛️ FINAL DISCLOSURE: WHAT THIS SYSTEM MEANS FOR YOU
* You don’t need me to ‘do AI.’ You need someone who builds systems that align with the world AI is creating.
* You don’t need me to know your stack. You need someone who adapts to its weak points and ships through them.
* You don’t need me to fit a vertical. You need someone who recognizes that every constraint is leverage waiting to be framed.
This isn’t a resume about what I’ve done.
It’s a blueprint for what I do — over and over, in different contexts, with results that can be trusted.
Walter Reid | Systems Product Strategist | walterreid@gmail.com | walterreid.com | LinkedIn: /in/walterreid
