Lorenzo Kamanzi
Computer Science × Finance
Co-Founder & Lead Engineer building AI-powered systems at scale. Rutgers University, Class of 2028.
Building at the Intersection of AI & Business
I'm a double major in Computer Science and Finance at Rutgers University (Honors Track), Class of 2028. As Co-Founder and Lead Engineer at Creo, I'm building AI-powered systems that help entrepreneurs turn ideas into fully automated businesses.
From scaling backends to handle 10,000+ concurrent requests to deploying ERP systems across manufacturing operations in Rwanda, I thrive on solving complex technical challenges with real business impact. My approach combines engineering rigor with strategic thinking—whether it's optimizing system performance or designing scalable SaaS architectures.
I'm passionate about full-stack development, cloud infrastructure, and machine learning applications. Currently seeking internships and opportunities where I can build production-ready systems that scale.
Quick Facts
Co-founded AI SaaS startup
HackRU Finalist (Top 5%)
All-Star Code Scholar
Dean's List All Semesters
Building Systems,
Creating Value
DIKAM ERP Implementation
Enterprise resource planning system deployed across manufacturing operations in Rwanda.
- Digitized workflows for 280+ employees, cutting manual reporting time by 65%
- Improved data accuracy by 40% through inventory, procurement, and payroll integration
- Automated data migration of 10+ years of records, reducing retrieval latency from minutes to under 5 seconds
Professional Journey
Co-Founder & Lead Engineer
Creo
June 2025 – Present
Remote
Building AI SaaS platform enabling users to create entire businesses from an idea.
- Scaled backend to handle 10,000+ concurrent requests with sub-300ms response time and 99.5% success rate
- Integrated 15+ AI APIs across marketing, development, and automation workflows
- Launched closed beta to 45 users; projected $36,000 ARR within first 90 days post-launch
Technology Consultant / ERP Implementation
DIKAM (Top 10 African Business Heroes)
May 2025 – Aug 2025
Kigali, Rwanda
Deployed ERP system across production, inventory, and finance departments.
- Digitized workflows for 280+ employees, cutting manual reporting time by 65%
- Led integration of inventory, procurement, and payroll modules—improving data accuracy by 40%
- Automated data migration scripts transferring 10+ years of records, reducing retrieval from minutes to under 5 seconds
NEBDHub DRM Research Intern
Columbia University
May 2025 – July 2025
New York, NY (Remote)
Processed city crash data to analyze correlations between population density and accident rates.
- Processed 2.4M+ records using Python (pandas, NumPy) to identify statistical patterns
- Built data visualization dashboards improving research report readability by 70%
- Applied data ethics protocols reducing analysis error rate by 31% across team submissions
Project Leader
All-Star Code Fellowship
May 2023 – June 2023
New York, NY
Led team of 3 developers to create STEM learning app for NYC schools.
- Built app used by 150+ daily active users, improving engagement by 65% through gamification
- Increased lesson completion rates by 47% with new interactive features
- Implemented Flask REST API + React frontend, reducing API latency by 22% post-deployment
Technical Arsenal
Languages & Frameworks
Data & Cloud
Development & Tools
Specialties
Ready to Create Impact
Whether you're looking for technical depth, analytical rigor, or hybrid expertise, I bring a unique blend of CS and Finance skills to solve complex problems.
Software Engineer
Ship production-ready code with clean architecture and performance optimization.
- Full-stack development with modern frameworks
- System design and scalability mindset
- Strong CS fundamentals and algorithmic thinking
- Collaborative coding and code review experience
Data Analyst
Transform raw data into actionable insights that drive strategic decisions.
- Advanced SQL and data manipulation skills
- Statistical analysis and visualization expertise
- Business acumen with technical depth
- Clear communication of complex findings
Quant Researcher
Develop systematic strategies backed by rigorous research and backtesting.
- Strong foundation in probability and statistics
- Experience with financial modeling and derivatives
- Python/R proficiency for quantitative analysis
- Research mindset with practical implementation skills
Finance Analyst
Deliver comprehensive financial analysis with data-driven recommendations.
- Financial modeling and valuation expertise
- Industry and market research capabilities
- Excel and financial software proficiency
- Strategic thinking with attention to detail
Product / Strategy
Bridge technical and business perspectives to build products that matter.
- Technical background with business intuition
- User-centric design and problem-solving
- Data analysis for product decisions
- Stakeholder management and communication
Technical Internships
Learn fast, contribute meaningfully, and grow with your team.
- Eager to learn and adapt quickly
- Strong work ethic and self-motivation
- Team player with independent problem-solving
- Passionate about technology and innovation