As a Platform Engineer at Meez, I design, build, and maintain the internal platforms and infrastructure that empower our engineering teams to deliver at scale, serving a global client base of over 5,000. I apply Infrastructure as Code (IaC) practices with Terraform and Terragrunt to provision, manage, and evolve our AWS cloud environments efficiently and reliably.

I work extensively with Docker and Kubernetes to containerize, orchestrate, and scale microservices across environments. My role involves building automation and developer tooling using Go and Python, streamlining workflows from code to production. I also contribute to backend systems development, leveraging Go for high-performance services and Django/Celery for distributed workloads.

In the AI/ML space, I develop and integrate Large Language Model (LLM) and Retrieval-Augmented Generation (RAG) capabilities into internal platforms and customer-facing products. This includes building vector search pipelines, managing embeddings, and orchestrating LLM inference workflows using containerized and serverless infrastructure.

As a Security Engineer at Uber, I focused on securing large-scale distributed systems, ensuring robust identity and access management, and enhancing real-time security monitoring. I leveraged Go and Python to develop high-performance security automation tools, implement secure service-to-service communication, and enforce strong authentication policies using YubiKey and HSM. I also integrated Grafana dashboards for real-time observability of security events.

Key achievements include implementing secure infrastructure practices in Kubernetes, Terraform, and AWS, optimizing threat detection pipelines, and improving incident response efficiency by 20%. I built Go-based services to automate access control enforcement, secure CI/CD workflows, and integrate compliance checks into deployment pipelines, significantly strengthening Uber’s security posture.

Working closely with engineering and infrastructure teams, I helped harden Uber’s cloud environments by applying least-privilege access controls, securing internal APIs, and enhancing security logging and anomaly detection systems, enabling faster response and proactive threat mitigation.

While at Pfizer as a Software Engineer, I focused on leveraging my expertise in Python and AWS to contribute to the development of various projects. In addition to my primary responsibilities, I also gained experience in data engineering, where I collaborated with data scientists to optimize data workflows and support the company's research and development efforts.

I was responsible for designing, developing, and implementing new software solutions to support the company's research and development efforts, while also working on optimizing the performance of the AWS infrastructure and implementing new features for the company's applications. Additionally, I was involved in testing and deploying software solutions to ensure they met high quality and security standards.

Overall, my experience at Pfizer allowed me to develop a robust skill set in Python, AWS, and data engineering, enabling me to contribute effectively to the company's technological advancements and data-driven initiatives.

At NextRoll, I develop and maintain React components, Go microservices, and Python APIs that power advertising services for over 10,000 paid subscribers worldwide. I also contribute to data engineering efforts, collaborating with data scientists to optimize data workflows and ensure the reliability, scalability, and performance of our advertising platform.

Working cross-functionally with data scientists, business users, project managers, designers, and other engineers, I’ve delivered new onboarding and user buy flows that generated over 1,000 new paid subscriptions in less than three months. I also designed and implemented a Marketing Revenue system that recovered more than 2,000 abandoned carts, converting over $80,000 into client revenue. My combined backend, frontend, and data engineering expertise has helped strengthen our platform’s capabilities and enhance data-driven decision-making across the organization.

I developed efficient and maintainable web and mobile applications that aligned with the company's diverse clients' specific business objectives and needs. Using the latest technologies and tools, such as React, Angular, Node, and Python, I successfully delivered over 20 projects of varying sizes across mobile and web applications.