Generative AI Prototyping & Deployment: Developed and fine-tuned language models to understand context-specific queries, driving higher quality responses and streamlined user interactions. Led a cross-functional team of AI engineers and data scientists in architecting and deploying end-to-end AI solutions, ensuring on-time delivery and alignment with business objectives.Architecture & Scalability: Designed back-end pipelines and front-end interfaces for seamless AI integrations. Focused on building scalable, maintainable infrastructures that align with enterprise-grade standards and security practices.

Assisted in evaluating different transformer-based architectures for NLP tasks, conducting comparative performance assessments.Conducted data cleaning, normalization, and exploratory data analysis (EDA) to maintain datasets for model training.Experimented with various prompt engineering techniques to enhance model context-awareness and output accuracy.Gained hands-on experience with Python, TensorFlow, PyTorch, and cloud-based environments, setting the stage for more advanced model development work in subsequent roles.Worked closely with cross-disciplinary teams—data scientists, product managers, and business analysts—to translate complex requirements into production-ready AI solutions.