As a Principal Engineering Architect, I lead the design and development of scalable, high-performance applications using Python, FastAPI, and cloud technologies like AWS and Azure DevOps. I specialize in building robust backend systems, data-driven solutions with PostgreSQL and Snowflake, and integrating AI technologies such as LLMs (Claude, Llama3) via Amazon Bedrock. At Tesla, I drove operational optimization, improved efficiency, and accelerated time-to-market with microservices, real-time data via Kafka, and agile development. I am passionate about leading teams, driving innovation, and ensuring systems are secure, scalable, and aligned with business goals.
As an IT Lead and Principal Architect, I lead the design and development of large-scale, high-performance applications, providing strategic guidance to cross-functional teams in architecting innovative, cloud-native solutions. I drive organizational efficiency by designing robust enterprise architecture frameworks and ensuring alignment with business objectives. My leadership extends to guiding engineering teams in building scalable backend systems using Python and FastAPI, while integrating AWS (ECS, EC2, ECR) and Azure DevOps for seamless CI/CD pipelines that streamline operations.
I have successfully architected data-driven solutions leveraging PostgreSQL and Snowflake for data warehousing, ensuring systems are not only scalable and performant but also aligned with evolving business goals. Additionally, I have led the integration and optimization of cutting-edge AI technologies, such as large language models (LLMs) including Claude, Llama3, and Anthropic, utilizing Amazon Bedrock and RAG (retrieval-augmented generation) architectures to power advanced, AI-driven solutions.
In my role, I am responsible for managing vendor relationships, overseeing the procurement process, and negotiating contracts with multiple vendors to optimize pricing and secure favorable terms. This has allowed me to achieve substantial cost savings while ensuring high-quality service delivery.
I conduct thorough assessments to identify and mitigate architectural risks, ensuring the robustness and resilience of our systems. I lead efforts to enhance system performance by integrating cutting-edge technologies and ensuring that our infrastructure can handle future business growth. My focus is on scaling IT operations, driving innovation, and delivering transformative solutions while maintaining cost efficiency at an enterprise scale.
As a Lead Software Engineer at Tesla, I have driven impactful results by leading teams of junior engineers in the design and implementation of intelligent solutions, including AI/ML-powered systems:
Operational Efficiency and Cost Savings: Led efforts to enhance task execution efficiency and optimize server resources, significantly improving the user experience and achieving substantial cost savings for the business.
Agile Development for Accelerated Time-to-Market: Spearheaded the adoption of agile practices, integrating Jenkins, Docker, and efficient code management, which streamlined development cycles and enabled faster feature rollouts, driving a reduced time-to-market.
AI/ML-Driven Intelligent Solutions: Guided the integration of AI/ML technologies, delivering data-driven, intelligent solutions that empowered smarter decision-making and automated key processes across the organization.
Revenue Growth Through Seamless Integrations: Successfully led teams in integrating third-party platforms, creating new revenue streams and fostering greater collaboration with external partners.
Scalable and Future-Ready Architecture: Architected scalable, microservice-based systems, ensuring adaptability to future business needs while driving long-term technological resilience.
Real-Time Data Insights for Strategic Decisions: Deployed Kafka for real-time data streaming, providing immediate insights that supported agile decision-making and contributed to business growth.
Quality Assurance for Enhanced User Satisfaction: Instituted rigorous testing processes, ensuring the delivery of high-performance software that enhanced customer satisfaction and reliability.
Proactive Issue Resolution for System Stability: Introduced advanced monitoring tools, such as Splunk and py-spy, enabling the team to identify and resolve issues proactively, ensuring continuous system reliability.
Future-Proofing Technology Infrastructure: Advocated for and led the shift towards a microservice architecture, positioning Tesla for sustainable growth and ensuring resilience in the face of future technological advancements.
In summary, my leadership has optimized operations, fostered AI/ML innovation, and driven revenue growth, while building a high-performing team and future-proofing Tesla’s technology infrastructure.
Spearheaded the development of Python and PHP frameworks, optimizing MySQL queries to improve performance and efficiency. Leveraged Django to enhance web application responsiveness, leading to better user engagement and experience. Streamlined data transmission processes to the frontend, significantly improving interface efficiency.
Ensured high code quality through PyUnit testing, effectively reducing post-deployment issues. Accelerated testing cycles by implementing robust automation tools, enabling faster feature delivery. Contributed to the creation of the Business Requirements Document (BRD), ensuring better alignment of projects with strategic business goals.
Actively involved in the development and support of applications across multiple time zones, enhancing overall project efficiency. Participated in exclusive internal tool training programs, further enhancing my technical skills and contributing to operational improvements.
Led the development of a key internal application for monitoring business transactions, utilizing Python Django and MySQL. Optimized SQL queries to enhance data processing efficiency, resulting in improved system performance. Implemented impactful features, such as Highcharts for advanced data visualization and a WYSIWYG editor to enrich user interaction.
Integrated email functionality and utilized AngularJS 1, Angular Material, and Pandas for seamless data analysis and improved front-end performance. Managed tasks effectively with Rally, driving improvements in project management and boosting overall company productivity.
Led the end-to-end development of www.milios.com, driving the implementation of Agile and SCRUM methodologies. Served as the primary developer, utilizing Python Django and PostgreSQL for backend development. Enhanced key features, including payment handling, store search functionality, and admin customization.
Integrated multiple external services, such as separate URLs, JQuery, Instagram API, and Google Analytics to improve site functionality. Developed both frontend and backend modules, including sales reporting and content editing tools. Demonstrated expertise in debugging, working with Django models, and conducting unit testing using PyUnit.
Programming Languages: Python, JavaScript, SQL
Frameworks & Libraries: Django, FastAPI, React, Nodejs, Angular
Cloud Platforms: AWS (EC2, S3, Lambda, RDS, ECS)
DevOps & CI/CD: Jenkins, Docker, Kubernetes, Azure DevOps, GitLab CI
Databases: PostgreSQL, MySQL, Snowflake, NoSQL
AI/ML: TensorFlow, PyTorch, Scikit-learn, Pandas, OpenCV, LLM integration (Claude, Llama3)
Message Brokers: Kafka, RabbitMQ
APIs & Integrations: RESTful APIs, GraphQL, SOAP, API Gateway
Testing & Automation: PyUnit, Selenium
Leadership & Management:
Strategic & Business Skills: