Roshni brings a strong foundation in machine learning, deep learning, and natural language processing, paired with extensive hands-on experience in both research and real-world application. With a career that bridges innovation and implementation, she has contributed to advancements in machine translation, problem resolution, and voice-based AI systems, including projects in voice authentication and automatic speech recognition.

Her work is marked by a strategic yet practical approach, emphasizing accessibility, usability, and continuous adaptation to emerging technologies. Roshni has developed novel techniques in feature extraction, noise filtering, and system integration, pushing the boundaries of what’s possible in AI-driven solutions.

A dedicated mentor and educator, Roshni has created and delivered impactful courses and tutorials that empower students and professionals to leverage AI and data science effectively. Her leadership in guiding project teams and fostering collaborative learning environments speaks to her commitment to knowledge-sharing and innovation.

Holding a Master’s degree in Artificial Intelligence from The University of Texas at Austin and numerous industry certifications, Roshni combines academic rigor with deep technical expertise. Passionate about advancing the field, she continues to contribute through both teaching and research, engaging with learners and peers to explore the frontiers of AI and data science.