Maple Marten Studios
Martin Martin del Campo · Lead Software Engineer
FIERCELY CANADIAN. SERIOUSLY FUN.
STUDIO TITLES
ECHOES OF TOMORROW
DevLead the survivors of New Aurora, uncover the conspiracy, and decide if humanity deserves a second chance.
GO GO GROCER
DevHigh-octane shopper sim. Custom physics-based delivery mechanics where time is money.
ATTACK OF THE LOONIES
ProtoSurvival shooter in the Canadian wilderness. Precision mechanics meet wild humor.
SYSTEM SPECS (CV)
Professional Summary
Software Engineer with 5+ years of experience designing scalable microservices, cloud infrastructure, and high-performance backend systems. Specialized in building highly reliable architectures and optimizing application latency. Proficient in C++ and Python, with a strong focus on systems-level logic and modern web integration.
TECHNICAL SKILLS
EDUCATION
Computer Science Certificate
Douglas College | 2025
B.S., Actuarial Science
Universidad Anáhuac | 2022
PROFESSIONAL EXPERIENCE
LEAD SOFTWARE ENGINEER
Aper | Remote - Vancouver, BC
- Microservices Architecture: Decomposed a monolithic application into 7 independent containerized microservices (Python/Go). Achieved a 34% improvement in p95 latency and tripled system throughput with zero downtime.
- Performance Engineering: Architected an e-commerce benchmarking platform on GKE; optimized code to sustain 3x seasonal traffic spikes while reducing p95 latency to 205ms.
- Reliability & CI/CD: Modernized the release pipeline using Jenkins and Docker, implementing parallel test sharding to reduce production build times by 54% (24m → 11m) and double deployment frequency.
- System Integration: Built robust Python integration connectors for 3rd-party platforms, capturing 15+ real-time events per session to power user analytics and frontend dashboards.
- Cost Optimization: Managed Kubernetes cluster efficiency, reducing infrastructure costs per 1,000 requests by 18% through resource optimization and auto-scaling policies.
SOFTWARE ENGINEER (DATA INFRASTRUCTURE)
Aper | Remote - Mexico City
- Pipeline Engineering: Migrated legacy batch processes to orchestrator-based workflows (Airflow), reducing job failure rates by 82% and cutting runtime from 4h 45m to <1h.
- Backend Optimization: Designed and implemented streaming ingestion services that reduced data availability latency from T+24h to T+30m, enabling near real-time fraud detection.
- Code Quality: Refactored legacy SQL/Python logic into modular, testable components, improving system maintainability and reducing technical debt.
JR. SOFTWARE DEVELOPER / ANALYST
Nielsen | Mexico City
Automation: Developed Python scripts utilizing Scikit-learn to automate manual statistical modeling, reducing preparation time from 3 days to 2 hours.
SOFTWARE PROJECTS
REAL-TIME SIMULATION ENGINE
C++ & Unreal Engine 5 | Personal Project
- Systems Logic: Engineered a performant C++ subsystem for real-time object state management, utilizing event-driven architecture to handle entity lifecycles and memory optimization.
- UI Integration: Implemented C++ bindings for dynamic UI updates, managing real-time data flow between the core logic and the visual layer.
- Relevance: Demonstrates strong C++ proficiency and complex state management logic required for hardware/software integrated devices.
FRAUD DETECTION TRANSACTION ENGINE
Python & GCP | Personal Project
- High-Volume Processing: Built a transaction processing engine capable of handling >50M transactions/day with low latency.
- Production ML: Integrated gradient boosting models into a production API, effectively reducing fraud losses by 23%.