Contributing to real-time AI/ML and Generative AI projects by designing end-to-end systems, including data curation, preprocessing, model training, fine-tuning, and deployment. Building LLM-powered multi-agent and RAG pipelines using LangChain and vector databases for intelligent applications. Deploying scalable AI solutions via Django REST APIs and AWS with performance optimization. Additionally, delivering technical training in AI/ML and supporting institutional initiatives through academic and technology-driven programs.

Working as a Software Engineer on production-level web applications, focusing on backend development, API validation using Postman and Swagger, and database design aligned with frontend wireframes.

Gained hands-on experience with data science workflows using Python and MySQL by working on real-world datasets, focusing on data preprocessing, analysis, and building database-driven applications.

Contributed to the development of production-ready Android application features using Kotlin and Jetpack Compose, focusing on API integration, AI-powered services, UI optimization, and deployment stability.

Mentored students in Python and SQL with a strong emphasis on logic building, data handling, and problem-solving through hands-on, project-based learning.