One Leap

Ashish is a AI Engineer eager to help learners build a strong foundation in programming. As a trainer, he bring a fresh perspective, making complex concepts easy to understand. With a strong academic background and hands-on experience in Python, he focus on practical learning, real-world applications, and interactive teaching methods.

Shubham is a senior AI leader and practitioner with 15+ years of experience designing and deploying enterprise-scale AI systems spanning predictive intelligence, large generative models, RAG architectures, and multi-agent frameworks. His work consistently bridges cutting-edge research with real-world, production-grade implementation. With deep hands-on expertise in machine learning, LLM engineering, and applied data science, he has built scalable AI platforms that deliver measurable business outcomes—from forecasting and decision intelligence to generative automation and autonomous workflows. A passionate educator, Shubham teaches Statistics, Machine Learning, Deep Learning, Generative AI, and agentic system design with a strong emphasis on practical, industry-ready application. His training programs delivered to Fortune 500 organizations and global engineering, data, and product teams have upskilled thousands of professionals and accelerated enterprise AI adoption.

Nimisha is a practitioner and passionate educator who actively builds and teaches predictive, prescriptive, generative, and agentic AI systems. With nearly a decade of experience, she blends real-world engineering expertise with a strong commitment to making advanced AI concepts intuitive and applicable for learners at all levels. She has trained teams across multiple Fortune 500 companies, helping them adopt modern AI tools, automation techniques, and responsible deployment practices. As an engineer, she has architected and developed conversational applications and workflow automations using multi-agent frameworks, enabling organisations to operationalise AI at scale. Her technical toolkit spans Python, SQL, and cloud platforms including Microsoft Azure, AWS, and Google Cloud, where she is adept at deploying end-to-end AI solutions. She is also skilled with Power BI, Copilot Studio, n8n, and leading agentic frameworks such as AutoGen and CrewAI—leveraging them to design practical, production-ready systems.