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My journey as a developer has been a blend of structured learning, late-night debugging, and building things that actually work. From designing scalable backends in Go and Node.jsto crafting responsive frontends with Next.js and React, I’ve learned to balance creativity with precision. Working across AI-powered apps, cloud systems, and data pipelines has taught me that elegant code is as much about clarity as performance. Each role and project has strengthened my ability to collaborate, iterate fast, and turn complex ideas into practical, user-centric software — all while keeping the servers (mostly) running past midnight.
Built AI-powered customer support models using the OpenAI API and NLP techniques to improve response accuracy and efficiency. Developed and fine-tuned language models for real-time chatbot interactions, integrating scalable backend services with CI/CD pipelines for deployment. Enhanced inference performance and optimized backend scalability for AI-driven applications.
Automated large-scale ETL data pipelines using Python and SQL, reducing data processing time by 25%. Collaborated in cloud migrations for transactional workloads on AWS and GCP, ensuring scalability and high availability. Developed modular backend services with Docker, Jenkins, and GitHub Actions CI/CD pipelines, improving release efficiency. Optimized DB2 and SQL Server queries for faster data retrieval and reporting.