Fahrudin Madzovic

Fahrudin Madzovic Senior DevOps | FullStack Engineer- 8. marta 106, SE, Novi Pazar, Serbia - PROFILE Resourceful and versatile Software Engineer with 5+ years’ experience driving innovation across DevOps, full-stack development, automation, and applied AI. Adept at building and maintaining modern cloud-native systems, automating workflows, and integrating AI capabilities to deliver tangible business value. Hands-on leader with a proven ability to navigate complex technical challenges, optimize infrastructure, and foster collaborative, high-performance teams. Brings a unique blend of backend and frontend expertise, DevOps culture, and machine learning know-how to each role. PROFESSIONAL EXPERIENCE Senior DevOps & Full-Stack Engineer Information System Agency (ISA) 09/2021 – 01/2023 | Novi Pazar, Serbia Led the modernization of multi-cloud environments (AWS, Azure) by architecting microservices using Docker and orchestrating with Kubernetes, reducing infrastructure costs and enabling seamless scaling. Designed, deployed, and managed secure authentication processes via Keycloak SSO across all enterprise platforms, streamlining access management and compliance. Engineered Redis-backed caching systems, optimizing data access patterns and reducing application response times by 30%. Developed and maintained full-stack applications with React, Angular, and FastAPI, prioritizing code modularity and long-term scalability. Headed implementation of enterprise VPNs(Wireguard), ensuring secure connectivity for distributed teams and sensitive data transmission. Automated CI/CD pipelines using Jenkins, GitHub Actions, and GitLab CI, increasing deployment speed and cutting rollback time on failed releases. Integrated LLM and real-time computer vision features in collaboration with AI teams, enhancing product intelligence and boosting user engagement rates. Championed DevOps workshops and upskilling sessions, educating over 20 engineers on Kubernetes, monitoring, and infrastructure best practices. Drove compliance initiatives for security and privacy (GDPR/ISO), resulting in successful audits and increased customer trust. Orchestrated cross-team agile sprints ensuring timely feature deliveries and continuous integration. Led migration of legacy monolithic platforms to modular, containerized services with zero-downtime rollouts. Created internal technical documentation and knowledge bases to speed up onboarding and troubleshooting. Cloud Solutions Engineer Bonislabs 11/2019 – 05/2021 | Novi Pazar, Serbia Designed and delivered automation-first full-stack solutions using Python (Django, Flask, FastAPI) and modern JavaScript frameworks (Vue, Next), significantly reducing manual maintenance overhead. By abstracting repetitive tasks into reusable modules and deployment patterns, I enabled the team to focus on feature development rather than infrastructure upkeep. Led the technical transformation of a legacy monolithic SaaS platform into a modular, containerized architecture powered by Docker and Kubernetes. This migration not only improved system reliability and uptime but also reduced troubleshooting complexity, allowing the support team to resolve incidents more quickly and with greater confidence. Built sophisticated ETL pipelines and custom web scrapers to aggregate and normalize external data sources, overcoming technical challenges such as CAPTCHA protection and anti-bot policies. These pipelines delivered actionable business insights on a daily basis, empowering executives and analysts with real-time intelligence for strategic decision-making. Orchestrated end-to-end CI/CD automation using GitLab, ensuring that every code change was automatically tested, built, and deployed with minimal human intervention. This shift to continuous delivery reduced the risk of manual errors, accelerated the release cycle, and improved overall code quality. Designed and implemented monitoring dashboards with Grafana and Prometheus, providing comprehensive visibility into application health, resource utilization, and system anomalies. By correlating logs and metrics from across the stack, I empowered the operations team to proactively detect and resolve issues before they impacted users. Established robust code review practices and enforced Git-based version control discipline, fostering a culture of accountability and collective code ownership. These practices led to fewer regression bugs, faster onboarding for new team members, and a more collaborative development environment. Advocated for infrastructure-as-code (IaC) principles, leveraging Terraform for consistent, repeatable provisioning of cloud resources. This approach not only reduced configuration drift but also enabled disaster recovery scenarios to be tested and executed reliably in minutes. Provided hands-on Python automation training for both development and QA teams, empowering them to build custom scripts for testing, deployment, and monitoring. As a result, process automation became pervasive across the organization, improving efficiency and reducing manual toil. Implemented cloud cost optimization strategies by analyzing usage patterns, rightsizing resources, and leveraging reserved instances. These efforts lowered monthly cloud expenditures by 20% without compromising performance or reliability. Collaborated closely with product managers, designers, and business analysts to translate complex requirements into actionable technical roadmaps and sprint plans. My ability to bridge the gap between technical and non-technical stakeholders ensured that engineering deliverables consistently met business objectives and user needs. Integrated enterprise-grade security controls such as SSO, VPNs, and role-based access, ensuring that our platform remained compliant with industry regulations and customer expectations. These measures were critical in securing partnerships with large clients in highly regulated sectors. Enhanced data reliability through automated validation and testing within deployment pipelines. Automation & AI Specialist Consulting & Software Agencies 10/2016 – 10/2018 | Novi Pazar, Serbia Designed, developed, and deployed AI-powered document and image processing solutions tailored for the healthcare industry, dramatically reducing the manual effort required for data entry and validation. By applying computer vision and natural language processing, I helped clinical teams process patient records and diagnostic images more efficiently, directly contributing to improved patient outcomes and operational efficiency. Built and maintained complex automation workflows with n8n and Make.com, integrating electronic health record (EHR) systems, laboratory information systems, and third-party data providers. These integrations enabled seamless data flow across previously siloed platforms, giving clinicians and administrators a unified view of patient information. Developed secure, high-performance RESTful APIs using Django and FastAPI, powering real-time analytics dashboards that provided hospital administrators with actionable insights into patient flow, resource utilization, and compliance metrics. These dashboards became indispensable tools for daily operations and long-term strategic planning. Developed secure APIs to handle sensitive financial transactions between site owners and advertisement owners, incorporating advanced security protocols to protect data integrity and prevent unauthorized access. Architected and managed Linux server infrastructure with strong VPN protection, ensuring that all patient data processing and storage complied with stringent HIPAA and GDPR requirements. My proactive approach to security design and regular audits helped the organization avoid costly breaches and maintain the trust of patients and partners. Implemented Redis-based caching and session management systems to optimize the performance of data-intensive applications, reducing page load times and improving the responsiveness of critical clinical tools. These optimizations were particularly valuable during peak usage periods, such as emergency room surges or scheduled reporting cycles. Deployed machine learning models for automated document validation and extraction, enabling the rapid classification and indexing of clinical notes, lab results, and imaging studies. This automation reduced clerical errors and accelerated the availability of critical information for care teams. Collaborated with cross-functional teams to identify and prioritize automation opportunities, focusing on high-impact workflows that would deliver the greatest value to clinicians, administrators, and patients. My ability to understand both technical and domain requirements was key to the success of these projects Led comprehensive training sessions and created detailed documentation for end users and technical staff, empowering them to leverage new automation tools effectively and independently. This focus on education and support led to a measurable reduction in helpdesk tickets and increased user satisfaction with our platform. Authored and maintained thorough technical documentation for all automated pipelines, integrations, and deployment procedures, ensuring that knowledge was preserved and easily transferable. This documentation was critical during onboarding, troubleshooting, and regulatory audits. Supported broader DevOps initiatives by implementing automated backup and disaster recovery procedures, minimizing data loss risk and ensuring business continuity in the event of unexpected outages. These measures provided peace of mind to both internal stakeholders and external clients. Integrated external APIs and data sources into core healthcare workflows, expanding the range of information available to clinicians and improving the accuracy of decision support systems. These integrations were carefully evaluated for security and compliance, with a focus on maintaining patient privacy at all times. Conducted security audits and vulnerability scanning to proactively address potential system risks. EDUCATION Bachelor of Applied Science Alabama A&M University 01/2012 – 01/20 | Huntsville, AL SKILLS C Python Typescript WPF Go Vue Spring Boot Firebase Neo4j Hetnzer Ruby Node.js Mapbox Core Highchart Ruby On Rails Symfony CosmosDB GCP Java MySQL Azure Jenkins Django PHP Signal R D3.js Flask Javascript React ElasticSearch FastAPI PostgreSQL AWS Redis CI/CD RabbitMQ Angular Laravel MongoDB Docker Kubernetes