Resume

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Oluwaniifemi "NF" Emmanuel

+1 (415) 792-8813 oluwaniifemi.emmanuel@uni.minerva.edu nfemmanuel.com github.com/nfemmanuel linkedin.com/in/oluwaniifemi-emmanuel

Education

Minerva University (1% acceptance rate)

Bachelor of Science, Computer Science & Artificial Intelligence — San Francisco, CA

Sep 2023 – May 2027
  • Relevant Coursework: Data Structures & Algorithms, Formal Analysis, Complex Systems, Linear Algebra

Experience

Technical Product Manager

Cofactor — San Francisco, CA (Remote)

Feb 2026 – Present
  • Shipped B2B SaaS platform 0-to-production in 4 weeks, onboarding European research community and validating two-tier marketplace model
  • Managed 3-platform roadmap across PRDs, Jira backlog (3 Epics, 9 Features), and VC stakeholder coordination
  • Reduced research validation time 60-80% via AI-powered system using Anthropic Claude API and academic APIs
  • Led GDPR-compliant product launch enabling EU market entry through privacy architecture and cross-functional technical execution

Process Optimization Intern

UL Solutions — Fremont, CA

May 2025 – Aug 2025
  • Integrated Python automation scripts with cross-functional team, reducing test data errors by 50% across product lines
  • Analyzed workflow data using statistical methods to identify bottlenecks, presenting findings to stakeholders
  • Redesigned operational workflows reducing timelines by 3 weeks, achieving $XM+ cost savings through systematic optimization and implementing validation protocols ensuring regulatory compliance across 200+ procedures

Product Builder

Google Academic Collaboration — San Francisco, CA

Sep 2023 – May 2024
  • Developed 4 product features for Google Photos with 5-person cross-functional team through full development cycle
  • Built Figma prototypes and conducted quantitative analysis on 50+ participant user studies, iterating with feedback
  • Improved user engagement by 40% through data-driven A/B testing frameworks and systematic feature validation
  • Analyzed engagement metrics and implemented testing strategies to validate feature performance against success criteria

Technical Projects

Iranti — Shared Memory Substrate for Multi-Agent Coding

TypeScript, Python, PostgreSQL, pgvector

  • Reached 8,000+ downloads on npm in 4 weeks with zero marketing through organic developer community adoption
  • Designed session lifecycle (handshake/checkpoint/resume/abandon) solving state loss across session boundaries
  • Outperformed Mem0, Graphiti, and Shodh on persistence benchmarks (20/20 reruns, 14/14 multi-agent coordination)
  • Built ELO-adaptive conflict resolution with self-updating reliability and relationship-graph semantic integrity checks
  • Designed cross-tool memory layer over PostgreSQL + pgvector enabling Claude Code, Codex, Copilot CLI to share state

Game Night — Multiplayer Web App

React, PWA, Product Design, Vercel

  • Designed and shipped multiplayer party game platform with installable PWA supporting 3+ concurrent players
  • Conducted iterative user testing with friend groups to refine game mechanics and onboarding flow
  • Defined product roadmap balancing local gameplay deployment with future multiplayer architecture

ProofScript — Domain-Specific Language

Language Design, Python, System Architecture

  • Architected DSL for algorithm verification targeting CS students through user research and validation
  • Designed Turing-complete language with safety constraints using input-based execution limits
  • Built 6-week roadmap prioritizing MVP features before advanced verification capabilities

Technical Skills

Product & Design: Figma, System Design, User Research, Roadmapping, A/B Testing, PRDs
Technical: Python, JavaScript, React, Next.js, TypeScript, SQL, REST APIs, Git/GitHub
AI & Tools: Prompt Engineering, LLM Integration, OpenAI API, Anthropic API, Jira, Confluence