Apr 2023 – Present · 3 yrs 2 mos

• Designed and implemented scalable front-end and back-end solutions, improving page load times by 40% and API response efficiency by 35%, which resulted in a 10% increase in overall user satisfaction, lower bounce rates, and higher engagement in critical user flows.
• Architected and deployed production-grade integrations of Large Language Models (LLMs), including OpenAI GPT-4, into customer facing and internal systems to automate code synthesis, query resolution, resulting in a 30% uplift in engineering, operational efficiency.
• Engineered end-to-end Retrieval-Augmented Generation (RAG) pipelines for domain-specific models, Python-based embedding workflows, LLM-driven chat interfaces, and dynamic content tagging, significantly improving contextual accuracy and user engagement.
• Identified and resolved high-impact bugs and system bottlenecks, cutting support tickets by 25%, which directly resulted in increased application uptime, reduced costs, enhanced developer efficiency, and better coordination between engineering and the support teams.
• Mentored junior developers, conducted code reviews, enforced best coding practices, increasing team productivity by 15% while ensuring maintainability, scalability, strict adherence to industry standards for long-term code sustainability and performance optimization.
• Led collaboration between engineering, design, and product teams, ensuring alignment with business goals and strategic objectives, driving a 30% improvement in feature adoption, product market fit, and customer feedback implementation in iterative agile sprints.