ÁNGEL NEROZZI
AI Developer | No-Code/Low-Code Specialist | Full Stack Engineer
Maracay, VE.About
Senior Software & Systems Engineer specializing in high-availability distributed systems and advanced Machine Learning architectures. Proven track record of scaling startup revenue from $25K to $384K by optimizing critical infrastructure, even in low-connectivity environments. Expert in the Next.js/Node.js, Python (FastAPI/PyTorch) stack, and Cloud Native platforms like AWS and GCP.
Work
WaLinz App
|CTO & Architect
Maracay, Aragua, Venezuela (Bolivarian Republic of)
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Summary
As CTO & Architect, led the strategic technical direction and infrastructure development, achieving a 1436% revenue increase and ensuring robust system resilience.
Highlights
Architected and led the migration from a monolithic MVP to an event-driven microservices architecture, scaling annual recurring revenue (ARR) by 1436% to $384K within 6 months.
Implemented Edge Computing and offline-first strategies to overcome regional infrastructure limitations, ensuring 99.9% uptime for critical transactions.
Orchestrated the integration of diverse payment gateways via a unified abstraction layer, decreasing failed transaction churn by 22%.
Mentored and led a team of 6 engineers using rigorous CI/CD methodologies, reducing Lead Time for Changes from days to hours.
Btcfarmy.lat
|Principal Systems Engineer
Maracay, Aragua, Venezuela (Bolivarian Republic of)
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Summary
As Principal Systems Engineer, designed and implemented high-concurrency Web3 platforms, ensuring secure transactions and optimal performance for digital asset launches.
Highlights
Architected a high-concurrency ICO platform capable of processing over 5,000 Transactions Per Second (TPS) during presale peaks using Redis-based queuing and dynamic load balancing.
Implemented robust security protocols for wallet integration and real-time transaction auditing, safeguarding digital assets during the launch phase.
Optimized Server-Side Rendering (SSR) with Next.js, achieving a Lighthouse Score of 98/100 on low-end mobile devices.
Penstrike, Inc.
|ML Solutions Engineer (Post-Sales)
Maracay, Aragua, Venezuela (Bolivarian Republic of)
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Summary
As ML Solutions Engineer, deployed and optimized machine learning models in production, enhancing inference latency and building scalable data pipelines for cybersecurity solutions.
Highlights
Deployed anomaly detection models into production environments using Docker and Kubernetes (EKS), optimizing inference latency by 40%.
Constructed automated ETL pipelines with Apache Spark to process terabyte-scale cybersecurity datasets efficiently.
Education
Aragua State Polytechnic University
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Bachelor of Science (B.S.)
Computer Science
Languages
Spanish
English
French
Italian
Certificates
Machine Learning Professional Certificate
Issued By
IBM (Coursera)
Deep Learning Specialization
Issued By
Udemy (Neural Networks, TensorFlow)
Skills
Programming Languages
JavaScript, TypeScript, Python, Java, Go, Ruby, SQL.
Backend & Cloud Technologies
Node.js, FastAPI, PostgreSQL (Performance Tuning), MongoDB, AWS (EC2, S3, Lambda, RDS), GCP.
Frontend & Mobile Development
React, Next.js (App Router), TailwindCSS, State Management (Zustand/Redux).
Machine Learning & MLOps
PyTorch, TensorFlow, Computer Vision (OpenCV), MLOps, Vector Databases (Pinecone).
Infrastructure & DevOps
Docker, Kubernetes (EKS), CI/CD (GitHub Actions), Terraform (IaC), Distributed Systems, High Availability, Edge Computing.
Web3 & Fintech
ICO Platforms, Blockchain Security, Payment Gateways, Real-time Transaction Auditing.