Senior Full Stack Engineer with 10+ years of experience designing and delivering scalable web applications, distributed systems, and cloud-native platforms. Expertise spans modern frontend frameworks, backend microservices, and infrastructure automation across AWS, GCP, and Azure. Proven track record of integrating AI capabilities, including LLMs, RAG pipelines, conversational agents, and semantic search, into production systems to enhance user experience and streamline operations. Adept at optimizing system performance, building reliable CI/CD workflows, and leading cross-functional teams to ship high-impact software in agile, globally distributed environments.
mRoads
Designed and developed scalable full-stack applications for an AI-driven talent acquisition platform using React, TypeScript, Node.js, and PostgreSQL, supporting automated video interview workflows and real-time candidate evaluation systems. Architected and implemented RESTful microservices and event-driven pipelines using Node.js and Azure Service Bus, improving system scalability and reducing API response latency by ~35% during high-volume screening periods. Built and deployed containerized services using Docker and Kubernetes on Azure, and implemented CI/CD pipelines with GitHub Actions, reducing deployment time by 70% and enabling rapid iteration on AI model updates. Optimized frontend performance using code splitting, lazy loading, and CDN caching strategies, reducing interview session load time from 4.2s to 2.1s and improving candidate completion rates by 22%. Improved backend performance by optimizing SQL queries, implementing database indexing, and introducing Redis caching, reducing average query time by 50% for candidate analytics dashboards. Integrated AI-powered conversational features including automated interview question generation, candidate sentiment analysis, and voice-to-text transcription using Azure Cognitive Services, LLM APIs, and vector embeddings. Developed internal AI automation tools for interview summary generation, skills extraction, and compliance flagging (PII redaction), reducing manual reviewer workload by 60% while maintaining GDPR/CCPA alignment. Implemented semantic search and skill-matching system using Azure AI Search and vector databases, improving candidate-role matching accuracy by 30% and increasing successful placement conversions. Participated in system architecture design, technical decision-making, and code reviews, establishing engineering standards for secure AI integration, data privacy, and scalable conversational workflows.
BairesDev
Designed and developed scalable full-stack applications for enterprise clients across healthcare, finance, and technology sectors using React, TypeScript, Python, and Azure SQL, supporting high-traffic customer engagement platforms. Developed RESTful microservices and event-driven workflows with FastAPI and Azure Functions, improving scalability and reducing latency. Deployed containerized services with Docker and AKS, and implemented CI/CD pipelines with Azure DevOps to accelerate release cycles. Optimized frontend and backend performance through caching, query improvements, and efficient state management. Integrated AI-driven features including chatbots, voice processing, and RAG-based knowledge retrieval using Azure AI services. Created automation tools for ticket summarization, sentiment analysis, and compliance checks, reducing manual workload. Contributed to architecture discussions, technical planning, and mentorship of junior engineers.
SharpQuest
Designed and developed scalable full-stack applications for enterprise B2B clients using React, Node.js, C#, and SQL Server, supporting legacy modernization projects and custom workflow automation platforms. Built REST APIs and event-driven services with .NET Core and Azure Service Bus to support system integrations. Deployed applications using Docker and Azure App Service, with CI/CD pipelines enabling faster, reliable releases. Improved application performance through frontend optimizations and backend query tuning. Integrated AI features such as document Q&A, voice-assisted input, and workflow automation. Built internal tools for reporting, data extraction, and compliance validation. Participated in solution design, documentation, and code reviews.
PC Miracles
Designed and developed backend services for SMB IT management platforms using C#, ASP.NET, and SQL Server, supporting client onboarding, ticketing workflows, and remote monitoring systems. Built REST APIs and background job systems, improving reliability and automation. Automated deployments with PowerShell and maintained services on Windows Server/IIS. Optimized database performance through query tuning, indexing, and caching. Integrated third-party services (Microsoft 365, monitoring, backup systems). Created internal tools for logging, alerting, and NLP-based ticket categorization. Implemented secure authentication and authorization (OAuth 2.0, RBAC).
SGS Consulting
Designed and developed responsive frontend interfaces for workforce management and contingent staffing platforms using HTML5, CSS3, JavaScript, and AngularJS, supporting recruiter dashboards and candidate portals. Integrated frontend applications with backend APIs, improving data reliability and user experience. Enhanced performance through lazy loading, caching, and asset optimization. Developed reusable components and validation logic to speed up feature delivery. Ensured accessibility (WCAG 2.0 AA) and cross-browser compatibility. Collaborated in agile teams on design, development, and code reviews.
Bachelor’s Degree