Manuel F.

Experience

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  Freelance Full Stack Engineer

  Apr 2015 - Sept 2018

  Full Stack Engineer

  • Data Engineering & ML: - Processed 100GB+ data using Python ecosystem * Built ML models with 95% accuracy * Tech stack: Pandas, NumPy, OpenCV2, TensorFlow - Automated data collection systems * Reduced manual effort by 80% * Used Python/Scrapy/Selenium for web scraping * Real-time data processing pipeline• Backend Development: - Implemented custom CRM solution * Integrated Django with MQTT protocols * Improved client response time by 40% * Real-time data synchronization - Created JAMStack websites with Hugo * Achieved 3x faster load times * Maintained 99.9% uptime• DevOps & Automation: - Streamlined deployment processes * Reduced deployment time by 70% * Automated infrastructure with Ansible * Custom Bash scripts saving 15+ hours weekly - Implemented monitoring and alerting systemsTechnologies:• Core: Python, Django, JavaScript, SQL, Bash• Data Science: Pandas, NumPy, OpenCV2, TensorFlow• Web: Hugo, JAMStack, Scrapy, Selenium• DevOps: Ansible, Git, MQTT Show less

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  Rataran.com

  Oct 2018 - Jan 2021

  Senior Backend Engineer

  • Trading Systems Architecture: - Developed custom async IB API interface with Twisted/Asyncio (10K+ daily trades) - Built high-performance desktop trading software with PyQt5 and real-time market data - Created algorithmic trading systems with NumPy/Pandas (87% prediction accuracy) - Implemented real-time dashboards using Vue.js/Quasar, boosting efficiency by 50%• Backend Infrastructure: - Designed microservices architecture handling 1M+ daily requests * Python/Django/FastAPI for core services * RESTful APIs with Django-Rest Framework * XMLRPC proxies using Twisted (40% latency reduction) - Implemented async task processing * Twisted and Redis for queue management * 100K+ concurrent operations handled * Real-time event processing pipeline• DevOps & Monitoring: - Managed infrastructure automation with Ansible - Implemented comprehensive logging system * ELK Stack (Elasticsearch/Logstash/Kibana) * Real-time log analysis and alerting * Custom monitoring dashboardsTechnologies:• Backend: Python, Django, FastAPI, Flask, Twisted, Asyncio• Frontend: Vue.js, Quasar Framework, PyQt5• Data: Redis, Elasticsearch, NumPy, Pandas• Tools: Interactive Brokers API, Ansible, Git, ELK Stack Show less

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  Capgemini

  Jan 2021 - Oct 2022

  Senior Consultant

  • Technical Leadership: Led cloud architecture design and implementation for enterprise clients• Cloud Architecture (GCP): - Orchestrated microservices deployment on GKE, Cloud Run, and Compute Engine - Designed event-driven systems using Pub/Sub, reducing data processing latency by 60% - Implemented serverless solutions with Cloud Functions for cost optimization - Managed cloud services: Datastore, Cloud Storage, Vision API, DocumentAI• Development & Best Practices: - Implemented DDD patterns and SOLID principles across Python microservices - Established TDD practices, achieving 90% code coverage - Built scalable REST APIs using Flask, Django, FastAPI - Leveraged AsyncIO for high-performance concurrent operations - Tech Stack: Python, Redis, PostgreSQL, VueJS• DevOps & Infrastructure: - Created CI/CD pipelines using Jenkins/Azure DevOps/Ansible - Managed GCP IAM and security policies - Reduced deployment time by 70% through automation• Data Science: - Developed text/data mining algorithms and classification models - Implemented random forest and multiclass classifiers - Integrated OCR solutions processing 100K+ documents monthly• Project Management: - Led cost estimation and optimization, reducing cloud spend by 40% - Open Source contributor to Python ecosystem - Mentored team of 8 developers in cloud-native development practicesTechnologies: Python, GCP, Kubernetes, Cloud Run, Pub/Sub, Firestore, Redis, PostgreSQL, VueJS, Jenkins, Ansible, Azure DevOps Show less

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  Sysdig

  Oct 2022 - Feb 2023

  Senior Software Engineer

  • Backend Leadership: Directed development of Sysdig Secure product as Lead Backend Architect• Microservices Architecture: - Designed and implemented high-performance microservices using Golang - Achieved 99.99% uptime and 40% improved system response time - Scaled system to handle 1M+ daily security events• Data Engineering: - Architected real-time ETL pipelines with Elasticsearch processing 5TB+ daily data - Reduced data processing latency by 60% through optimized indexing - Implemented fault-tolerant data streaming architecture• Technical Leadership: - Led architecture design decisions and technical roadmap - Established development standards and best practices - Mentored team members in microservices architecture and Golang - Achieved 30% reduction in deployment cyclesTechnologies: Golang, Elasticsearch, Docker, Kubernetes, Microservices, ETL, Git Show less

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  GOSP - Generali Operations Service Platform

  Mar 2023 - now

  Group Data, Analytics & Automation Platform Architect and Service Manger

  Designed and created Generali Group Data & Analytics platform.As the creator of an innovative Data, Analytics & Generative AI platform, I have developed a comprehensive solution that seamlessly integrates multiple Large Language Models (LLMs) and vector databases, enabling users to switch between them effortlessly. This platform features AI agents capable of automating tasks such as web scraping, document summarization, and intelligent file management. Emphasizing community-driven development, it offers extensive connectors to tools like GitLab and Confluence, fostering enhanced workflow efficiency. With a strong focus on privacy, the platform supports local data processing and role-based access control, ensuring secure and flexible deployment across various environments. • Unit Head & Technical Leader: - Lead international team across Group Analytics and Central Data Platform - Drive tech innovation and standardization across countries - Define Group wide technical roadmap and architectural vision - Champion LLMs, Golang, and cloud-native solutions adoption• Group Central Data Platform Architecture: - Built enterprise data warehouse with AWS Redshift (Bronze/Silver/Gold model) - Standardized Terraform modules for cross-country deployment - Implemented New Relic monitoring and observability to improve Service Level - Established QA standards using SonarQube and GitLab pipelines - Tech: AWS Redshift, Python, Terraform, New Relic, SonarQube• Group Analytics Platform Innovation: - Led cloud-native analytics platform serving 10+ countries - Integrated LLM capabilities for advanced analytics - Built Golang microservices reducing response times by 70% - Achieved 50% cost reduction in resource management• Enterprise Architecture Leadership: - Created blueprints adopted across Group Legal Entities - Led convergence in analytics, software engineering, big data - Built PaaS ecosystem for standardized software lifecycle Show less