Lugano Metropolitan Area
As a Solution Architect at Machina Sapiens, responsible for designing and implementing scalable cloud-native architectures integrating AI-driven analytics, intelligent automation, AI agents, and Web3 solutions to solve complex enterprise challenges. Leading end-to-end solution design and technical execution across distributed systems, ensuring scalability, security, and alignment with business objectives, while acting as a bridge between technical and non-technical stakeholders to deliver measurable business value. Developed and operated data and AI platforms leveraging Snowflake Snowflake, Snowpark, Snowpark Container Services, and real-time machine learning pipelines, enabling fraud detection systems, predictive analytics, synthetic data generation, and self-service analytics capabilities. Applied AI-assisted development practices, LLM integration, and event-driven architectures to accelerate delivery and improve system intelligence. Key responsibilities included technical leadership, solution architecture governance, mentoring engineering teams, and ensuring best practices in cloud architecture, DevOps, CI/CD, and secure system design. Focused on digital transformation initiatives, operational excellence, and the delivery of highly available, compliant, and data-driven enterprise platforms. Key Skills Microservices Architecture, AI/ML Engineering (MLOps, NLP, AI Agents), Web3 & Blockchain Architecture, Smart Contracts, Event-Driven Architecture, Design Patterns (SOLID, DDD), System Integration & Automation, Cloud Architecture (AWS, Azure, GCP), CI/CD (GitHub Actions, Jenkins), Data Engineering, Real-Time Analytics, Fraud Detection Systems, Synthetic Data Generation, REST APIs, Snowflake, Snowpark, Containerized Applications, DevOps, Security & Compliance (OAuth, Encryption, GDPR), Technical Leadership, Digital Transformation Strategy.
Responsibilities: •Technical Account Management & Onboarding: Manage technical relationships with strategic accounts, from the onboarding phase to solution deployment. •Data Architecture and Design: Design and implement the data infrastructure with real-time data ingestion, supported by a containerized environment to ensure scalability and portability. •Data Pipeline Development and Maintenance: Build automated data pipelines, enabling horizontal scalability and optimized management. •Data Performance Optimization: Data partitioning, compression, and caching. Real-time message ingestion and processing. •Advanced Documentation: Elaborate detailed technical specifications and reports for internal and external stakeholders. Achievements: •Plan and implement cloud data infrastructure, using data lakes and data warehouses. •Design a scalable, distributed architecture for real-time data ingestion. •Lead the implementation of distributed processing solutions. •Tune queries and pipelines for resource optimization. •Resolved complex issues in APIs, data flows, and pipelines under pressure, ensuring system reliability. Technologies/Skills Used: S3, Azure Data Lake, Redshift, Kafka, Dockers, Kubernetes, Airflow, Redis, Clustering (K-Means, DBSCAN), XGBoost, LSTMs, RESTful APIs, MongoDB, SQL
Responsibilities: Project management using PMO and VMO methodologies: Ensuring alignment with established KPIs and customer satisfaction for clients such as Claro, AT&T, and Telefónica. Coordination of multidisciplinary teams: Leading the execution of projects for network upgrades and optimization in telecommunications, applying agile methodologies to ensure timely deliveries. Deployment and upgrade of RAN nodes: Performing software upgrades for cellular access networks (base stations and central offices). Planning and management of network maintenance services: Conducting and overseeing assisted operations for clients, including preparing Method of Procedure (MOP) documents and delivering training sessions. Achievements: Network upgrades and activation of new features: Enhanced the efficiency of clients' access networks by implementing and testing new functionalities, increasing traffic capacity and throughput. Implementation of protocols such as MQTT: Enabled efficient communication between IoT devices and central servers. Reduction of recurring issues: Identified patterns in faulty installations and repairs, resulting in a decrease in recurring problem requests and an increase in first-time successful completions.
Coordination of field test and measurement activities (load, download and upload speed, coverage) for mobile network operators.
Consulting and coordination of the implementation of Vaisala weather station networks for the National Institute of Meteorology of Brazil. Implementation of the network management center, transmission, and storage of climate information.