Senior Software Engineer with 9+ years of experience building scalable, distributed, cloud-native and high-performance systems. Experienced in designing resilient microservices architectures, event-driven platforms, API ecosystems, and enterprise integration solutions with a strong focus on scalability, reliability, performance, observability, and fault tolerance. Currently working on large-scale financial and accounting integration systems, designing reliable workflows across multiple external platforms and building solutions around distributed processing, asynchronous communication, idempotency, data consistency, and system resilience. Strong experience in cloud-native architecture, containerized deployments, Kubernetes, CI/CD, distributed messaging, database optimization, caching, and production engineering. Hands-on experience in designing systems that handle high-volume workloads while maintaining reliability and operational efficiency. Also experienced in integrating Generative AI and Agentic AI capabilities into backend applications, including RAG, vector search, LLM integration, tool calling, and AI-driven workflows. Interested in building AI-enabled, scalable platforms that combine modern distributed architecture with intelligent automation. Focused on solving complex engineering problems, driving architectural decisions, improving system reliability and performance, and delivering scalable enterprise-grade solutions.

Java backend developer with 9+ years of experience building backend services using Spring Boot and PostgreSQL. Focuses on event-driven architecture and designing complex features end-to-end, including testing and code review leadership. Has worked across microservices and application migrations, including Java version upgrades and deployment pipeline changes.

Backend API engineer (Middle) specializing in Django REST APIs for data collection and analysis. The strongest proven skill is implementing model-driven REST endpoints and server-side aggregation logic, evidenced by api/views.py ListCreateAPIView/viewset implementations and analysis/views.py usage of F expressions and Sum aggregates. There is limited evidence of production-grade reliability, security hardening for file ingestion, automated tests, or scalability patterns like background workers and caching.

Product Manager at Kore.ai focused on enterprise GenAI search transformation using agentic RAG. Owns product strategy, delivery, and success metrics, and works with data science and engineering to build retrieval pipelines, connectors, and quality/latency improvements for enterprise deployments. Previously worked in product roles at Shopee India and Vaibhav Global, managing end-to-end product lifecycle and growth initiatives.

Senior Java developer with 6+ years building backend systems and microservices for an enterprise marketing platform. Led modernization work including migration from monoliths to microservices and upgrading services to Java 21, alongside AWS infrastructure provisioning with Terraform and operational monitoring with Datadog. Also served as Scrum Master and temporarily as de facto team lead for an 8-person team, including performance reviews.

IT support and systems administration professional with 10+ years of experience supporting enterprise technology environments, users, and networks through incident troubleshooting and service operations. Has worked on enterprise connectivity and mobile solutions, including customer-facing technical support, monitoring, and escalation coordination. Currently pursuing an MSc in Cyber Security to build expertise in threat detection, incident response, vulnerability assessment, and data protection.

Intern-level front-end developer focused on building straightforward static HTML and CSS personal websites. The strongest proven skill is basic page structure and styling as shown in Luyimbazi-Timothy/luyimbazitimothy/index.html and Luyimbazi-Timothy/html/web.css. There is no evidence of responsive design techniques, JavaScript interactivity or state management, automated testing, or systematic accessibility engineering in public code.

Backend API and ML engineer (mid-level) focused on building end-to-end ML-backed screening services with a practical strength in prototyping robust data ingestion and model inference pipelines. The strongest proven skill is production-oriented ML inference and reporting driven by app/ml/train.py and the inference endpoints in app/main.py which include model selection, metrics reporting, and batch upload parsing. Public code shows limited operational hardening - there is no evidence of authentication/authorization, migration histories, advanced scaling, or observability beyond basic logging and saved metrics files.

Business Analyst and Product Delivery Lead with 3+ years of experience delivering enterprise SaaS and AI-enabled solutions using Agile practices and requirements lifecycle methods. Experience includes writing BRDs/FRDs and user stories, managing Agile backlog and sprint planning, validating AI/LLM features, and building KPI dashboards using SQL, Power BI, and Tableau.

IT professional with 9+ years of experience in Windows systems administration and end-user computing (EUC) support, including service desk work aligned with ITIL. Experienced with Identity and access administration using Active Directory and Azure AD/Entra ID, plus endpoint management and deployment workflows. Ongoing MBA studies in IT Project Management (IU Berlin, 2025) complement the hands-on infrastructure focus.

Data scientist and data analyst with 5+ years of experience in quantitative and statistical analysis, building Python- and SQL-based data pipelines, and delivering Power BI dashboards for decision-ready insights. Experienced in predictive modeling and forecasting, and in SAS-based validation, data governance, and quality assurance for regulated reporting environments. Regularly presents findings to technical and non-technical stakeholders and leads cross-functional reporting work under agile methodologies.

Go backend engineer (Senior) focused on authenticated REST APIs and distributed node synchronization with a strong emphasis on application-level security and correctness. The strongest proven skill is application authentication and token/password handling as implemented in authservice/pkg/service/authenticatorImpl.go and enforced by middleware in authservice/pkg/endpoint/middleware.go. There is little or no public evidence of cloud/IaC hardening, formal threat modeling, detection engineering or published vulnerability research and PoCs.

Atlassian Platform Lead with 9+ years of experience architecting, governing, and operating enterprise Jira, Jira Service Management, and Confluence environments. Leads platform strategy, release and reliability operations, marketplace app lifecycle governance, and cost optimization, including DC-to-Cloud migrations. Builds AI-augmented ITSM automation integrations using Azure and AWS services with Jira REST API.

UI automation engineer (mid-level) focused on end-to-end web testing with Playwright and Selenide and a strong page-object and selector discipline. The strongest proven skill is building maintainable Playwright page objects and using Playwright features such as getByRole, waitForDownload and locator chaining as shown in pages/ElementsPage.java. There is little public evidence of API/contract testing, CI workflow integration, robust negative-path/property-based tests or test infrastructure like parallelization and testcontainers.

LLM engineer at a senior level specializing in multi-agent orchestration and conversational agent workflows. The strongest proven skill is building agent routing and tool-integration logic as demonstrated by the StateGraph-based orchestrators and supervisor routing code (for example dental_agent/workflows/graph.py and dental_agent/agents/supervisor.py). There is little or no evidence of custom model training, experiment tracking, performance optimization, or production-grade serving and monitoring in public code.

Software QA professional with experience across fintech, automotive, and telecom domains, focusing on full-stack manual testing and QA delivery in Agile and hybrid environments. Hands-on with defect analysis and root-cause investigation, test planning and documentation in Jira/Confluence, and automation using C#, Selenium, and CI/CD through Azure DevOps. Also has experience validating security and role-based access control for complex systems.

Customer Success and technical support professional with experience across EMEA in technology-focused environments. Has managed retention and renewal activities, and also provided hands-on IT support including enterprise Windows migrations and support operations. Familiar with Salesforce for account records and with Azure WVD deployments, with strong multilingual communication in Romanian, Italian, and English.

Backend engineer focusing on Go developer tooling and FastAPI-style API patterns at a Middle level, with a strength in building developer-facing systems. The strongest proven skill is developer tooling and runtime orchestration as demonstrated by the HMR and watcher implementations in gv/hmr.go and gv/watcher.go. There is limited public evidence of production-grade DB schema migration histories, high-scale distributed systems design, or comprehensive security/auth lifecycle management.

Cybersecurity professional focused on cloud and security assessment work, including penetration testing and security strategy for Kubernetes-based environments. Recent experience includes securing Azure and AWS with IAM, Zero Trust-aligned hardening, and Microsoft 365 protections, leading vulnerability management, and migrating SIEM capabilities to Microsoft Sentinel. Previously worked as a security consultant/pentester and as a cybersecurity project manager aligned with ASPICE and ISO 21434.

QA Automation Engineer and Test Lead with 12+ years in software quality engineering, including building automation frameworks and leading functional, regression, integration, and end-to-end testing. Hands-on with Java, Python, Selenium, and Playwright, and experience managing test quality artifacts and defect/change workflows via Jira, Confluence, and ServiceNow. Delivered long-term quality for a core banking platform in a BFSI environment and supported production/L3 escalations.