Brainstation.io talk
·2 mins
Ask from the coordinator:
To break it down further, a potential format for the 1-hour session could be something like:
- Introduction to yourself, your career journey, and your role at AWS
- A potential case study or work example, exemplifying how you utilize your skills at work
- Job search tips for when they eventually begin applying
- Q&A Portion
Flow:
- Intro:
- Major stages of my career and some of my mistakes along the way so that you can avoid those in your career.
- Adobe and Snapdeal:
- Adobe Story and e-commerce website: distributed systems and some frontend work.
- Excited about technology but didn’t know expectations in a corporate environment.
- They don’t teach you this in college.
- Tip 1: Ask for feedback from well-intentioned peers.
- Amazon:
- 10+ years now. Won’t bore you with all the teams I’ve been part of, so just the interesting ones.
- Lambda:
- I joined because I was excited about the potential of serverless. However, a very new field for me and I struggled.
- VM ballooning.
- Tip 2:
- How to make learning durable?
- Code yourself. Even if you are following a tutorial, rewrite on your own.
- Anki.
- How to make learning durable?
- Lookout for Metrics:
- Intentionality == “know what you’ll get out of a certain project”.
- I work in SageMaker.
- About SageMaker.
- I-ML org: we provide cloud based IDEs - JupyterLab or VS Code - for ML.
- Example of my work: Cosmos.
- Tip 3: Work backwards from customers, not a solution == solution should follow the problem, not the other way around.