Enterprise AWS Architecture & Cloud Consultation
with Yong Lik Chang
Get practical, hands-on advice for designing, reviewing, or improving production AWS systems. This session is suitable for engineering teams, startups, and companies working on cloud architecture, data platforms, machine learning … Read more
Yong Lik Chang
Machine Learning Engineer at Recruit Holdings
Scheduling conflict? No-show? Cancel session & get your money back instantly.
Only 4 spots left
About this session
Get practical, hands-on advice for designing, reviewing, or improving production AWS systems.
This session is suitable for engineering teams, startups, and companies working on cloud architecture, data platforms, machine learning infrastructure, or backend systems.
Topics I can help with include:
- AWS architecture and system design reviews
- Data & ML platform architecture
- Serverless architectures using Lambda, API Gateway, S3, DynamoDB, etc.
- Infrastructure as Code and deployment strategies
- Scalability, reliability, and performance
- AWS cost optimization
- Security and architecture best practices
- Migration and modernization discussions
- Architecture trade-offs and technical decision making
I have experience building production data and ML systems at Amazon and can provide practical feedback based on real-world engineering considerations.
You can also send me your architecture diagram or problem statement before the session so we can use the time efficiently.
Your mentor
Hi! I’m Yong Lik, a Machine Learning Engineer who has spent the past several years building recommendation systems, search ranking pipelines, and ML infrastructure at Amazon, PayPay, Walmart, and Yahoo Japan. I’ve worked across the full stack of applied ML—from recommenders and search analytics to large-scale ETL, data platform design, and Spark-based interactive tooling for scientists and analysts.
I understand the challenges of learning ML and data engineering, breaking into ML roles, and delivering production systems that truly move business metrics. I mentor people on recommender systems, ML architecture, cloud-based ML workflows, and navigating career transitions into ML or data engineering.
If you need support with ML/data interviews, portfolio projects, system design, or planning your ML career path, I’d love to help. I’m also based in Japan, so if you’re interested in exploring IT roles in Japanese tech companies or startups, feel free to connect.
Frequently asked questions
What exactly is a session?
A session is a focused one-on-one call with your mentor. Use it to get feedback, work through a specific problem, review your work, or get unstuck. You reserve up to 1 hour of their time.
How do I pick a time?
After checkout you pick a slot from Yong Lik's live availability, and it's confirmed on the spot.
How does the session take place?
Sessions happen over video call. Your mentor shares the meeting link ahead of time, so all you need is a quiet spot and a stable connection.
Can I reschedule?
Yes, up to 24 hours before the session. Message your mentor and find a new time that works for both of you.
What if my mentor doesn't show up?
You're protected. If a mentor is a no-show, it takes one click to cancel and get your money back, no questions asked.
How do refunds work?
You pay securely by card at checkout. If the session can't go ahead, you can cancel and get your money back instantly from your dashboard.
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Yong Lik Chang
Machine Learning Engineer at Recruit Holdings
Scheduling conflict? No-show? Cancel session & get your money back instantly.
Only 4 spots left