Bench Tablante

• Strengthened and secured CI/CD pipelines across multiple software projects using GitHub Actions, Docker, and automated build workflows by improving build automation, security validation, deployment controls, environment consistency, and release reliability. • Implemented DevSecOps practices throughout the software delivery lifecycle, integrating security considerations into build, test, validation, deployment, and production delivery workflows. • Supported Kubernetes-based application deployments and infrastructure operations using Docker, Helm, and containerized workloads, helping improve application scalability, workload reliability, deployment consistency, and production readiness. • Implemented and maintained Argo CD, Helm, Terraform, and GitOps-oriented deployment workflows, improving traceability, declarative environment management, infrastructure consistency, synchronization between source- controlled configuration and runtime environments, and rollback capability. • Improved deployment governance by strengthening environment promotion workflows, release safeguards, validation steps, and operational controls across development and production systems. • Enhanced monitoring and observability using OpenTelemetry, Prometheus, and Grafana, providing greater visibility into system health, application performance, distributed traces, service behavior, and potential production incidents. • Integrated Sentry-based error tracking and production monitoring to improve exception visibility, debugging efficiency, application diagnostics, and root-cause investigation. • Improved CI/CD security by reducing unnecessary secrets exposure, strengthening access controls, reviewing workflow permissions, and supporting safer handling of deployment-sensitive configuration. • Reviewed Terraform infrastructure definitions, container configurations, application settings, and deployment configurations to identify security weaknesses, operational risks, and reliability gaps, then recommended practical remediation approaches. • Collaborated with application engineers and technical stakeholders to balance delivery speed, security, maintainability, and production stability across DevOps workflows. • Strengthened production delivery through OpenTelemetry, Grafana, and Amazon CloudWatch-based monitoring, alerting, deployment safeguards, operational visibility, and incident-detection practices. • Contributed to continuous improvement of engineering workflows by identifying repetitive deployment processes, operational bottlenecks, and opportunities for safer automation using Bash and PowerShell scripting.

• Designed and developed a Python-based AI agent workflow using Amazon Bedrock, Bedrock AgentCore, LangChain, and LangGraph to orchestrate multi-step customer conversations spanning intent detection, lead qualification, service recommendation, quotation generation, and booking assistance. • Architected Python-based Retrieval-Augmented Generation pipelines using Amazon Bedrock and Amazon S3 Vectors to ground AI responses in business-specific knowledge including service catalogs, pricing rules, operational procedures, FAQs, service areas, booking policies, and customer-service information. • Integrated Amazon S3 Vectors, vector search, and semantic retrieval capabilities, enabling context-aware responses based on relevant business knowledge while reducing unsupported AI outputs and improving response accuracy. • Designed Python-based AI workflow logic using LangGraph that combined retrieval, conversation context, business rules, tool calling, and multi-step decision flows to support practical customer-facing automation. • Used LangSmith for prompt tracing, chain debugging, LangGraph execution analysis, evaluation, and observability across different customer interaction paths and AI workflow scenarios. • Investigated Python-based AI workflow failures and response-quality issues through prompt traces, chain execution histories, retrieval behavior, and system-level monitoring. • Designed backend services and business logic using Python, Go, FastAPI, Django, Django REST Framework, Node.js, Express.js, GraphQL, Redis, MongoDB, PostgreSQL, AWS Lambda, and Amazon DynamoDB for CRM entities including customers, leads, bookings, services, pricing rules, staff availability, job status, and follow-up sequences. • Developed structured FastAPI, Django REST Framework, and GraphQL API and service-layer workflows using OpenAPI, Swagger, Amazon API Gateway, AWS Lambda, Amazon SQS, and Amazon EventBridge, connecting AI interactions with CRM processes, scheduling logic, operational rules, and downstream application actions. • Built Python- and Go-based automated scheduling logic with Redis-backed caching and asynchronous processing to match customer requests against available time slots, staff capacity, service requirements, location constraints, and operational business rules. • Designed modular application architecture to separate React-based application interfaces, Python, Go, and FastAPI backend services, Django-based CRM capabilities, LangGraph-based AI orchestration, MCP-based tool integrations, retrieval logic, business rules, scheduling processes, API services, and infrastructure concerns. • Deployed cloud-based application components on Microsoft Azure and AWS, using Azure services, AWS Lambda, Amazon API Gateway, Amazon S3, Amazon Cognito, Amazon DynamoDB, Amazon SQS, Amazon SNS, and Amazon EventBridge for application hosting, storage, API management, authentication, asynchronous messaging, event-driven integration, logging, monitoring, and production environment operations. • Implemented GitHub Actions-based CI/CD pipelines, Docker container workflows, Terraform and AWS CDK infrastructure workflows to automate testing, build validation, infrastructure provisioning, deployment, and environment promotion across development and production workflows. • Applied production software engineering practices including Python and Go modular architecture, FastAPI and Django API design, OpenAPI contracts, OAuth 2.0 and JWT-based authentication workflows, Git-based version control, Pytest-based automated testing, environment-specific configuration, structured error handling, and monitoring. • Established monitoring and observability workflows using OpenTelemetry, Grafana, Amazon CloudWatch, and Azure monitoring capabilities to track distributed traces, application health, API performance, AI workflow failures, latency, and overall system reliability. • Designed the platform to reduce repetitive manual sales work, improve customer response speed, support scalable lead handling, and enable AI-assisted operations for service-based SMEs. • Collaborated across business and technical requirements to translate customer-service, sales, scheduling, and operational processes into maintainable AI-enabled software workflows. • Integrated Salesforce CRM with AI-assisted lead qualification, customer management, follow-up sequences, and booking workflows, connecting Salesforce data and business processes with backend services, AI interactions, and operational application workflows. • Developed Salesforce integrations using REST APIs, Apex, and SOQL to synchronize customer, lead, service, and workflow data across CRM processes, backend services, and AI-enabled application components. • Built and supported Salesforce Sales Cloud and Service Cloud workflows for lead management, customer lifecycle processes, service interactions, follow-up activities, and cross-system operational automation. • Integrated AI agents with external business tools and backend services through Model Context Protocol (MCP) servers, enabling structured tool access, context exchange, and extensible AI-assisted workflows.

• Built, enhanced, and supported production websites and web platforms using Laravel, WordPress, Shopify, and Webflow for business, content-management, e-commerce, and customer-facing requirements. • Developed and maintained backend and CMS functionality using Laravel, PHP, MySQL, WordPress, Shopify, and Webflow, supporting content workflows, e-commerce requirements, third-party integrations, business requirements, data integration, and operational reliability. • Designed and deployed application infrastructure on AWS using Terraform, AWS CDK, Docker, Amazon S3, AWS Lambda, Amazon API Gateway, and Amazon DynamoDB, supporting production hosting, environment configuration, infrastructure provisioning, application delivery, availability, security, and operational management. • Built GitHub Actions-based CI/CD pipelines to automate Laravel and multi-language application deployments, reducing manual release work, improving deployment consistency, and creating more repeatable software-delivery workflows. • Implemented an application-security layer using AWS WAF to improve protection against common web threats, suspicious requests, and potentially malicious traffic patterns. • Integrated n8n, AWS Lambda, Amazon API Gateway, Amazon S3, Amazon SQS, and Amazon EventBridge automation workflows to receive emissions-related data from multiple sources and orchestrate asynchronous, event-driven imports into the production application. • Designed Python-based automated data-handling workflows for emissions information, reducing repetitive manual entry and improving consistency across external data sources and application processes. • Supported backend integrations connecting external emissions data providers, Python and Go services, Kafka and RabbitMQ messaging workflows, n8n workflows, Laravel application services, and internal business processes. • Investigated integration and data-processing issues across external sources, Python-based automation, automated workflows, backend services, and production application environments. • Built internal business tools using Python, Go, FastAPI, Django, JavaScript, TypeScript, C#, . NET, ASP.NET Core, React, Angular, Next.js, NestJS, Express.js, GraphQL, Microsoft SQL Server, Redis, MongoDB, and PostgreSQL to support operational workflows, internal data handling, process automation, and administrative activities. • Developed structured backend services and APIs using Python, Go, FastAPI, Django, C#, . NET, ASP.NET Core, NestJS, Express.js, GraphQL, OpenAPI, Swagger, Microsoft SQL Server, Redis, MongoDB, and PostgreSQL, improving separation of concerns between business logic, integration workflows, application services, and frontend consumers. • Built frontend interfaces using React, Angular, Next.js, Tailwind CSS, and Vite-based development workflows to support internal data-processing workflows, operational activities, administrative use cases, and business-user interactions. • Connected modern React, Angular, and Next.js frontend applications with GraphQL and RESTful backend services, Redis caching, Microsoft SQL Server and MongoDB data workflows, and internal workflows, supporting end-to-end business processes across multiple application systems. • Applied production engineering practices across Go and multi-language application development, Docker containerization, cloud deployment, event-driven integration work, CI/CD, security, debugging, and operational support. • Collaborated with business stakeholders to translate sustainability, emissions-data, and internal operational requirements into reliable software and automation solutions.

• Developed and maintained a merchant-management dashboard for a financial technology and payment-processing platform, enabling merchants to manage accounts, business information, customers, banking details, and payment- related operations. • Built full-stack product functionality using Laravel, Vue.js, Angular, JavaScript, TypeScript, PHP, MySQL, Microsoft SQL Server, Redis, and AWS-hosted services, integrating responsive frontend workflows with backend business logic and financial-domain processes. • Developed end-to-end merchant onboarding workflows supporting merchant applications and the structured collection, validation, and management of business, owner, customer, and bank-account information. • Designed application workflows serving multiple participants within the payments ecosystem, including merchants, banks, customers, and Independent Sales Organizations (ISOs). • Implemented role-aware application behavior for different user types, helping ensure that each stakeholder could access workflows and information relevant to their responsibilities. • Developed Vue.js and Angular frontend components and business-facing interfaces for merchant administration, onboarding, account management, and financial information workflows. • Built and enhanced Laravel backend functionality using MySQL, Microsoft SQL Server, and Redis to support merchant records, organizational relationships, account workflows, validation rules, caching, and application processes. • Integrated Angular and Vue.js frontend interactions with RESTful backend application services documented through OpenAPI and Swagger, ensuring consistent handling of merchant, customer, banking, and operational data. • Contributed to a complex fintech domain model involving merchant accounts, organizational relationships, business ownership data, financial information, and multi-party payment-processing workflows. • Supported secure handling of sensitive business and banking-related information through structured application logic, role-based workflows, OAuth 2.0 and JWT-based authentication patterns, validation, and controlled system behavior. • Investigated and resolved full-stack issues spanning frontend behavior, backend processing, data handling, integrations, and AWS-hosted production environments. • Collaborated with engineering and business stakeholders to translate payment-processing requirements into maintainable software features and user workflows.

• Developed, tested, maintained, and enhanced C#, ASP.NET, and Angular web application features and . NET-based internal software solutions within IBM enterprise technology environments. • Built and improved backend services and RESTful APIs using Java, Spring Boot, Spring Framework, C#, . NET, and ASP.NET, applying object-oriented programming principles and established enterprise engineering practices. • Contributed to frontend functionality using Angular, JavaScript, TypeScript, HTML, and CSS, improving application usability, interaction flows, and overall user experience. • Worked with Microsoft SQL Server, MySQL, PostgreSQL, and SQL to retrieve, validate, manipulate, and manage relational application data in support of business workflows. • Translated technical requirements and Agile user stories into maintainable Java, Spring Boot, . NET, and web application components under the guidance of senior engineers. • Investigated and resolved application defects, software issues, and performance bottlenecks through systematic debugging, log analysis, reproduction, and root-cause investigation. • Wrote and maintained unit and integration tests for Spring Boot, . NET, Angular, and web application components to improve application stability, regression coverage, and confidence in software changes. • Participated in Agile engineering processes including sprint planning, daily stand-ups, backlog discussions, code reviews, and retrospectives. • Used Git-based version control workflows to support collaborative software development, peer review, source management, and controlled changes. • Contributed to CI/CD-oriented software delivery practices supporting repeatable builds, validation, integration, and controlled releases. • Assisted with Java, Spring Boot, C#, and . NET code refactoring and application enhancements to improve maintainability, code quality, readability, and system performance. • Collaborated with senior engineers, business analysts, QA professionals, and cross-functional stakeholders to deliver reliable enterprise software solutions. • Followed established IBM development standards and engineering practices while gaining experience in structured enterprise software delivery. • Contributed to technical documentation, application-support procedures, troubleshooting references, and team knowledge-sharing activities. • Developed early-career experience in large enterprise engineering environments, cross-functional teamwork, disciplined delivery processes, and production-oriented software development.