Wednesday, June 10, 2026
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Nice Studying Facilitated My AIML Studying Journey & Helped me Develop as an Particular person – Ajay Karandikar, PGP AIML

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I’m at the moment working in Nvidia Graphics Pvt. Ltd, Pune as a supervisor of the Deep Studying options workforce. I joined Nvidia eleven years in the past as a university graduate. I’ve accomplished my bachelor’s in Pc Science (B.Sc.) and my grasp’s in Pc Utility (MCA). I’m pursuing a PG program in AI & ML from the College of Texas, Austin, and Nice Lakes facilitated by Nice Studying.

Earlier than becoming a member of the PG program in AI and ML, I labored because the workforce supervisor, constructing options for varied groups utilizing Deep Studying. Being a GPU and visible computing firm, a whole lot of handbook efforts are spent to test the visible efficiency and report visible corruption or anomalies. To cowl quite a few completely different configurations manually in a given time-frame is virtually unimaginable given the restricted variety of sources. So, to beat this, we needed to automate these checks and confirm the visible efficiency utilizing Deep Studying.

Nvidia has a big person base with all kinds of desktop and laptop computer configurations. So, we observe a number of efficiency or corruption points particular to varied configurations. It’s virtually unimaginable to check each configuration manually, limiting the testing effort. So there’s a threat of lacking a number of bugs, which may result in poor person expertise and, in flip, dent the corporate’s popularity.

We utilized Deep Studying strategies to detect varied sorts of corruption present in video games, movies, and many others. We have been in a position to practice separate fashions for each corruption sort. We then mixed all these fashions to supply an entire corruption detection resolution leveraged by many groups within the group. With the deep studying resolution, we may assist the automation groups to automate 3000+ take a look at instances. Ran these automated take a look at instances on quite a few configurations not coated earlier, minimizing the danger of lacking important bugs. Nice Studying facilitated my AIML studying journey and helped me develop as a person. I used to be in a position to acquire machine studying information which I lacked. In depth follow assessments, quizzes, and assignments gave me essential hands-on expertise. Palms-on expertise in constructing varied fashions utilizing completely different applied sciences offers you important expertise. I need to thank Nice Studying for setting me on this Nice studying journey.



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