About me
Practical training and mentorship from someone who still cares about the craft of running systems. People from many countries book time for career direction as well as technical depth.
Who I am
I'm Rajinikanth Vadla, an AI/ML Operations Engineer, Cloud Architect, and passionate mentor with over 7+ years of hands-on experience in enterprise technology.
My real passion? Teaching. I believe everyone deserves access to quality, real-world training. That's why I created comprehensive programs that bridge the gap between theory and production.
My mission
To create the training I wished I had when I started my career. No fluff, no outdated tutorials. Just real-world skills that get you hired and make you excel.
What makes this different
- ✓I teach from real production experience, not just textbooks
- ✓Every concept is backed by hands-on labs and projects
- ✓Personal mentorship. I know every student by name
- ✓Lifetime support even after course completion
- ✓Interview preparation and job placement assistance
- ✓Small batch sizes for maximum attention
Expertise
Enterprise experience
- ✓Production ML systems serving millions of predictions
- ✓Multi-cloud infrastructure (AWS, Azure, GCP)
- ✓Kubernetes clusters at enterprise scale
- ✓CI/CD pipelines for ML model deployment
- ✓AI-powered monitoring and self-healing systems
Ready to Learn From Experience?
Join 500+ engineers who accelerated their careers with real-world training.
I read every message. Typical reply within a day. No pressure to buy.
Notes from people who sat in the same calls
Written feedback from alumni plus screenshots they chose to share.
“The live labs made the difference — I moved from deploying scripts to owning an ML pipeline on Kubernetes. Interviewers asked about exactly what we built in capstone.”
“Rajinikanth breaks down LangChain and agent patterns the way enterprise teams actually use them. I shipped an internal RAG tool within two months of finishing the cohort.”
“Worth every rupee for the 1-on-1 mentorship alone. Resume rewrite + mock interviews helped me land a 200% hike moving into an ML platform role.”
“The automation course covered Cursor, Bedrock agents, and MCP integrations — skills that showed up word-for-word in my new job description.”
“Clear syllabus, real Zoom sessions, and recordings I still revisit. The AIOps monitoring capstone became my portfolio centerpiece.”
“As a DevOps engineer transitioning to AI, the structured path from Docker through Kubeflow to LLM serving saved me months of random tutorials.”
More screenshots from students
* Self-reported outcomes from alumni; not a guarantee of future results.