Meet Your Instructors

Learn from industry veterans who have built and scaled AI systems at the world's leading technology companies.

RK

Ram Karki

Sr. Data Engineer @ Amazon

Founder @ MangoAcademy

Ram is a seasoned data engineer with over 10 years of experience building large-scale data systems. He has led data initiatives at Fortune 500 companies and specializes in cloud-native architectures, real-time data processing, and AI/ML pipelines. As the founder of MangoAcademy, Ram is passionate about democratizing AI education and empowering the next generation of data professionals.

Expertise

Data EngineeringCloud ArchitectureApache SparkAWSMachine Learning

Key Achievements

  • Built data platforms processing 10TB+ daily
  • Led teams of 15+ engineers at enterprise scale
  • Published speaker at data engineering conferences
SA

Shambhu (Sam) Adhikari

Sr. Data Engineer @ Rearc

Founder @ MangoAnalytics

Sam is a seasoned data engineer with over 10 years of experience building large-scale data systems. He has led data initiatives at Fortune 500 companies and specializes in cloud-native architectures, real-time data processing, and AI/ML pipelines. As the founder of MangoAnalytics, Sam is passionate about democratizing AI education and empowering the next generation of data professionals.

Expertise

Data EngineeringCloud ArchitectureApache SparkAWSMachine Learning

Key Achievements

  • Built data platforms processing 10TB+ daily
  • Led teams of 15+ engineers at enterprise scale
  • Published speaker at data engineering conferences
AC

Alex Chen

AWS Solutions Architect

Cloud Infrastructure Expert

Alex is an AWS Certified Solutions Architect with deep expertise in designing and implementing scalable cloud infrastructures. With 8 years at AWS and various startups, Alex has architected systems serving millions of users. He specializes in serverless architectures, infrastructure as code, and cost optimization strategies for data-intensive applications.

Expertise

AWSCloud ArchitectureServerlessInfrastructure as CodeDevOps

Key Achievements

  • Architected systems serving 50M+ users
  • Reduced cloud costs by 60% through optimization
  • AWS Certified Solutions Architect Professional
MP

Maya Patel

Databricks Champion

Big Data Specialist

Maya is a Databricks certified professional with extensive experience in building production data pipelines and lakehouse architectures. She has worked with Fortune 100 companies to modernize their data infrastructure and implement Delta Lake at scale. Maya is passionate about data quality, governance, and making big data accessible to everyone.

Expertise

DatabricksApache SparkDelta LakeData GovernanceMLOps

Key Achievements

  • Implemented lakehouse for 5+ Fortune 100 companies
  • Databricks Certified Data Engineer Professional
  • Contributed to open-source Delta Lake project
JR

Dr. James Rodriguez

AI Research Scientist

Former Google AI

Dr. Rodriguez brings cutting-edge AI research experience from his time at Google AI and Stanford University. With a PhD in Machine Learning, he has published 20+ papers on deep learning, NLP, and computer vision. James specializes in making complex AI concepts accessible and helping students understand the mathematical foundations behind modern AI systems.

Expertise

Deep LearningNLPComputer VisionResearchPyTorch

Key Achievements

  • Published 20+ papers in top AI conferences
  • Developed models used by 100M+ users at Google
  • PhD in Machine Learning from Stanford
SK

Sarah Kim

ML Engineering Lead

Production AI Systems Expert

Sarah is an ML Engineering Lead with 9 years of experience deploying AI systems to production at scale. She has built recommendation systems, fraud detection models, and personalization engines at companies like Netflix and Uber. Sarah specializes in MLOps, model monitoring, and building reliable AI systems that deliver business value.

Expertise

MLOpsProduction MLModel DeploymentA/B TestingSystem Design

Key Achievements

  • Deployed ML models serving 200M+ users
  • Built MLOps platform used by 50+ data scientists
  • Reduced model deployment time from weeks to hours
MJ

Marcus Johnson

Generative AI Specialist

LLM & RAG Expert

Marcus is at the forefront of the generative AI revolution, specializing in Large Language Models and RAG systems. He has built production LLM applications for enterprises and startups, focusing on practical implementations that deliver real business value. Marcus is passionate about prompt engineering, fine-tuning, and responsible AI development.

Expertise

LLMsRAG SystemsPrompt EngineeringLangChainVector Databases

Key Achievements

  • Built RAG systems for 10+ enterprise clients
  • Created popular LLM course with 50K+ students
  • Early adopter and contributor to LangChain