100K USD- a dream
Not the first time I feel broken.
2 months so far looked like:
- got a 8 lpa offer in HYD.
- cleared 5 rounds of a startup based in BLR (15-20 lpa)-> cancelled since Founder pivoted business idea.
- US based fintech startup (100k usd) -> rejected after 3 rounds
- Remote job at Aviso AI(around 12-14 lpa): Rejected after 2 rounds.
- a US/BLR based fintech startup: Could'nt even clear the Hackerrank assessment.
- a Barcelona based startup: Visa sponsorship issue
- 25+ MNCs: all rejected my resume.
Gonna relearn Python again, I have been playing on this playground from past 3 years, but still I feel like I have never deep-dived into things like Abstract classes, File management, Multi-threading and what not ....
Hey X community, Anyone on the path to take control of their decisions from AI to back to their own intelligence?
I have delegated all my tech tasks to AI. Some of my key life decisions too.
I wanna claim it all back again. Time to start the Brain engine again.
@ThisIsBhandari I am confused on what to build. Coz there is solution available for every problem now. It's easy to make software in this era but tough to reach out to people and tough to get good pain points and solid ideas. Please Let me know if you have a particular problem that I can solve.
@Generate_Data Interesting take. I had a talk with data engineers and their response was similar about synthetic data generation. I am interested to know about what tools big and companies are using currently ? . Do they have in-house tools or do they prefer using external products ?
3) Are current tools like Nvidia Gretel, Tonic AI effective for data masking / synthetic data generation, or are teams still relying on custom scripts and facing problems with cost, accuracy, setup, or compliance?
1) How do companies usually mask or redact PII/PHI before using production data in development, testing, or analytics?
2) Do companies generate synthetic data instead of masking production data? If yes, where is synthetic data genuinely useful, and where does it fail?