Lead a team of 5 engineers in developing and deploying large-scale natural language processing models for sentiment analysis and text classificationImproved model accuracy by 15% through advanced feature engineering and ensemble techniquesImplemented a distributed training pipeline using TensorFlow and Kubernetes, reducing training time by 40%Collaborate with product managers to define and prioritize AI-driven features for the company's flagship productMentor junior engineers and conduct bi-weekly knowledge sharing sessions on latest AI/ML trends

Conducted cutting-edge research in natural language processing and machine learningDeveloped novel algorithms for multilingual text classification and named entity recognitionPublished research findings in top-tier AI conferences and journals

Developed and maintained large-scale distributed systems using Java and Spring FrameworkImplemented RESTful APIs and microservices architecture for improved scalabilityCollaborated with cross-functional teams to deliver high-quality software products on timeParticipated in code reviews and contributed to the improvement of coding standards and best practices

Developed web applications using Java, JSP, and ServletsAssisted in database design and optimization using MySQLParticipated in the full software development lifecycle, from requirements gathering to deployment