Yohans (John) Bekele

Contribute across the full software development lifecycle, including design, development, testing, deployment, and production support of enterprise applications.
Build and maintain scalable data processing pipelines and cloud-based services that support AI and machine learning workflows.
Collaborate with engineers, product managers, and cross-functional teams to deliver reliable, high-quality solutions in agile environments.
Monitor, troubleshoot, and resolve production issues while driving continuous improvements in system performance, reliability, and scalability.
Participate in release management, compliance initiatives, disaster recovery planning, and operational readiness for customer-facing platforms.
Evaluate and adopt new technologies and automation strategies to improve development efficiency and user experience.
Communicate effectively with stakeholders and technical teams to translate business requirements into practical solutions.

Built an AI-powered Knowledge Base management system using RAG and agentic AI, resolved 10,000+ production incidents, and achieved 99.8% system uptime through proactive monitoring and automation.

• Built an AI-powered Knowledge Base management system using RAG and agentic AI with agents that extract and synthesize information from multiple internal sources.
• Exposed the knowledge base through a robust REST API designed for integration with legacy applications, enabling end users to self-diagnose issues before opening tickets.
• Resolved 10,000+ production incidents via ServiceNow and JIRA, with structured root cause analysis, post-incident reviews, and runbook authoring.
• Fed recurring incident patterns back into the knowledge base to improve support effectiveness.
• Detected outages and client-side application faults early using clustering-based anomaly detection over user activity telemetry.
• Achieved 99.8% system uptime through proactive monitoring, alert tuning, and preventive maintenance across enterprise applications.
• Automated daily monitoring, health checks, and operational workflows in Python, Bash, and SQL, reducing manual effort by 15+ hours per week.
• Supported database operations and migrations across MS SQL Server, PostgreSQL, and MySQL.

Monitored application performance and infrastructure health to ensure high availability and SLA compliance across distributed systems.

• Tracked metrics, logs, events, and traces using New Relic and Datadog across distributed production environments.
• Managed incident triage, event correlation, and escalation via ServiceNow and JIRA with signal enrichment and actionable alerting.
• Reduced mean time to resolution (MTTR) by 45% through improved incident management workflows.
• Automated routine operational tasks, health checks, and reporting with Python, Bash, and SQL scripts, improving team efficiency by 30%.
• Built custom dashboards for anomaly detection and proactive alerting to surface issues before customer impact.
• Supported database migrations and integrity verification across MS SQL Server, PostgreSQL, and MySQL production environments.
• Created runbooks and automated remediation scripts for incident response procedures, enabling faster recovery and reduced human intervention.
• Collaborated with development and infrastructure teams to implement observability solutions, reduce alert noise, and improve system reliability.

Built end-to-end AI and web applications across finance, education, legal, real estate, agriculture, and infrastructure automation domains.

• Developed LLM-powered features including financial news analysis, entity extraction, sentiment analysis, stock-signal generation, and AI tutoring workflows with prompt design and evaluation.
• Designed full-stack architectures with REST APIs, authentication flows, database schemas, background processing, file handling, user dashboards, admin panels, and responsive frontends.
• Built infrastructure automation tooling translating visual input into Pulumi/Terraform code, with drag-and-drop AWS modeling, GitHub OAuth integration, and repository workflows.
• Implemented production engineering practices including Docker containerization, API testing, reusable components, service separation, environment configuration, CI/CD setup, and deployment troubleshooting.
• Used React, Next.js, TypeScript, Python/FastAPI, Node.js/Express, PostgreSQL, MongoDB, Docker, and cloud deployment workflows across all projects.

Executed large-scale data migration and transformation projects across multiple source systems, improving data processing efficiency by 30%.

• Automated ETL pipelines using Python, Bash, and SQL to streamline migration workflows.
• Designed data validation and cleansing routines to ensure accuracy, consistency, and compliance during migrations.
• Built data ingestion pipelines that normalized and enriched datasets from heterogeneous sources.
• Created dashboards and analytical reports providing actionable insights on migrated datasets for business continuity and compliance.
• Authored technical documentation and best practices guides for migration workflows and automation scripts.
• Collaborated with cross-functional teams to ensure seamless data integration with minimal disruption to business operations.

Built and maintained secure, responsive React-based banking web interfaces across the MERN stack, covering component architecture, hooks-based state management, REST API integration, form validation, and production-ready layouts.

• Developed internal banking operations dashboards and admin portals used by business and operations teams to monitor transactions, manage customer and account records, generate reports, and support daily reconciliation workflows.
• Delivered customer-facing digital banking pages including product information, service pages, onboarding flows, and transactional web surfaces with a focus on accessibility, mobile responsiveness, browser compatibility, and clear user journeys.
• Partnered with backend engineers on Node.js/Express API contracts and MongoDB schemas, ensuring accurate data handling for customer, transaction, reporting, and operational workflows.
• Implemented frontend authentication and role-based access controls for internal banking tools, including protected routes, session-aware UI behavior, and conditional access to sensitive operational screens.
• Maintained reusable UI components, styling conventions, and shared frontend patterns across internal and public-facing banking applications, improving consistency, reducing duplication, and accelerating delivery of new screens.
• Improved frontend performance through code splitting, lazy loading, asset optimization, and bundle-size control, helping banking web services remain usable on slower networks and lower-end devices.
• Supported production quality through component testing, linting, peer code reviews, defect fixes, and regression checks, helping reduce frontend issues before they reached banking staff or customers.