Master the Skills that
Drive the Future

With over 15 years of industry experience spanning enterprise IT and advanced data science, Mahendra heads the technical curriculum at IIAS. He has architected AI solutions for Fortune 500 clients and led cross-functional engineering teams at scale. His expertise spans the full ML lifecycle — from data engineering and model development to production deployment on AWS. At IIAS, he brings a practitioner's mindset to the classroom, ensuring every student graduates with job-ready, real-world skills.

Raunak is a seasoned data professional with deep expertise in business analytics, statistical inference, and BI tooling. He specializes in transforming raw, unstructured datasets into actionable executive insights using Python, SQL, and Power BI. With 6+ years of experience across fintech and e-commerce sectors, he mentors students on the art of asking the right business questions — and then answering them with data. His sessions are known for their clarity, practical case studies, and interview-focused approach.

Alankar is an AI/ML Engineer at Magnifi by Videoverse, where he builds cutting-edge computer vision and natural language processing solutions powering AI-driven video intelligence at scale. With a strong foundation in deep learning frameworks including TensorFlow and PyTorch, he brings an engineering-first approach to AI education. At IIAS, he guides students through project-based learning on neural networks, model optimization, and real-world AI deployment — bridging the gap between textbook theory and production-grade implementation.

Hrshit is a Senior Data Scientist with over 7 years of cross-industry experience in building intelligent systems and scalable data pipelines. He is a recognized practitioner in Generative AI, having built and deployed large language model applications in production environments. His mentorship at IIAS covers the end-to-end data science lifecycle — including feature engineering, model selection, hyperparameter tuning, and MLOps best practices. He is particularly passionate about helping students transition into high-paying Data Science and AI roles through structured portfolio building.