1:1 MLOps & AI career mentorship for engineers in Singapore
Working in Singapore or anywhere in Singapore and aiming for MLOps, LLMOps, AI agent or platform roles? I mentor engineers one-to-one: a personal week-by-week learning roadmap, weekly calls, real project reviews and interview practice until you land the role.
See plans & pricingChoose your mentorship plan
Weekly 1:1 calls, chat support and a plan built for you. Capped at 10 mentees a month so every person gets real time.
500+
Engineers Trained
50+
Enterprise Projects
4.9★
Session Feedback
Secure payment by Razorpay
UPI, cards, net banking and international cards. Instant email receipt.
Clear refund policy
Full refund if you ask before your first session.
Personal reply within 24 hours
I contact you on WhatsApp or email right after you pay.
What happens after you pay
- 1
Instant receipt
Razorpay emails your payment receipt straight away.
- 2
I contact you
Within 24 hours on WhatsApp or email to fix your first call time.
- 3
First session
We map your goal and build your plan. Weekly calls start from here.
Not sure which plan fits? Message me on WhatsApp with your background and goal.
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.
Target salaries
S$90K–S$180K+
Typical range for MLOps and AI engineering roles in Singapore.
Time zone
APAC fintech and cloud hub — evening IST aligns well with Singapore night learners.
Mentees from
Singapore
Questions from Singapore engineers
Do sessions work in Singapore time zones?
Yes. APAC fintech and cloud hub — evening IST aligns well with Singapore night learners. Calls are booked at a time that suits you.
How do engineers in Singapore pay?
By card through Razorpay, a secure payment gateway. The price is shown in your currency and you get an instant email receipt.
What roles and salaries do Singapore mentees target?
MLOps, ML platform, LLMOps, AI agent and AIOps roles, typically in the S$90K–S$180K+ range in Singapore. Mentorship focuses on the projects, system design and interview stories those roles expect.
What if mentorship is not right for me?
Ask before your first session and you get a full refund.
Prefer a live cohort? MLOps & AI training for Singapore