I am a Backend Developer & AI Engineer with a passion for solving complex engineering challenges at scale. I’ve architected systems handling 500M+ records, reduced database costs by 15% through strategic sharding, and consistently delivered high-performance solutions that balance speed, scalability, and security.
I’ve been pioneering RAG-based AI Agents, integrating frameworks like LangChain, CrewAI, MCP, and n8n workflows to build intelligent, automation-driven systems. By combining AI innovation with backend expertise, I’ve transformed operations—once clearing 190 days of technical backlog in under a month—and accelerated delivery without compromising quality.
My technical toolkit includes JavaScript (ES6+), TypeScript, Python, Node.js, Nest.js, Express.js, REST APIs, GraphQL, and expertise in databases (PostgreSQL, MongoDB, Redshift, Supabase). On the cloud side, I leverage AWS (EC2, Lambda, RDS, S3, CloudWatch, EventBridge) along with CI/CD pipelines (Docker, Jenkins, Terraform) to deliver resilient, cloud-native architectures.
Security and reliability are at the core of my work: OWASP best practices, encryption, rate limiting, and attack prevention. I follow TDD, SonarQube, ESLint, Jest, Cypress, Mocha to maintain code quality, and thrive in Agile teams using Scrum, Jira, Notion, GitHub, and GitLab.
🔹 Key Value Proposition: I bridge the gap between backend scalability and AI innovation, delivering solutions that cut costs, boost performance, and create long-term business impact. Whether it’s real-time communication systems, payment gateways, or intelligent AI agents, I build infrastructure that performs, scales, and adapts to the future.
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