➡️ You can use these sessions for any guidance from your mentor—tailored to your goals and learning needs.
Shashank Mishra is a AI Data Engineer with 10+ years of experience building scalable data platforms, real-time data pipelines, cloud-native architectures, and AI-powered data solutions for global organizations.
An MCA graduate from NIT Allahabad, he specializes in modern multi-cloud Data Engineering and its growing intersection with AI. His areas of focus include RAG pipelines, Agentic AI platforms, AI-powered analytics, intelligent data workflows, and production-grade AI applications.
Beyond industry work, Shashank is the educator behind GrowDataSkills, where he creates practical, project-driven content for Data & AI professionals. His community includes 185K+ YouTube subscribers, 25K+ Instagram followers, and 190K+ LinkedIn professionals.
Shubhankit Sirvaiya is an AI Engineer at Fidelity International, with prior experience
as an AI Engineer at World Wide Technology (WWT) and as a Data Scientist at Accenture
Growth & Strategy. He has 5+ years of hands-on experience across Data Science,
Machine Learning, MLOps, and AI systems, working on real-world, production-grade problems.
Alongside industry work, he has been teaching and mentoring for the last 4+ years,
helping 1000+ students and professionals transition into Data Science and AI roles.
He also runs an active LinkedIn community of 58k+ followers, where he shares practical
insights around AI engineering, careers, and real industry expectations.
His teaching style focuses on story-based learning and connecting the dots — breaking
down complex AI concepts into clear mental models so learners don’t feel lost in the
vast and often overwhelming AI syllabus. His goal is not just to teach tools, but to
help learners understand why things work and how they fit together in real systems.
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