About
Moda.app
Articles by Anvisha
Activity
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I admit I was early to AI for coding, and late to AI for everything else. I was using tools like Tabnine in 2020-21 much before things like Cursor…
I admit I was early to AI for coding, and late to AI for everything else. I was using tools like Tabnine in 2020-21 much before things like Cursor…
Shared by Anvisha Pai
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The hard part about building a bug finder isn't finding bugs. Every codebase has thousands of bugs, and the vast majority do not matter. The hard…
The hard part about building a bug finder isn't finding bugs. Every codebase has thousands of bugs, and the vast majority do not matter. The hard…
Liked by Anvisha Pai
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There are many companies today that generate slide decks, social posts, and designs. Most of them follow one of two approaches. 1. Using agents to…
There are many companies today that generate slide decks, social posts, and designs. Most of them follow one of two approaches. 1. Using agents to…
Shared by Anvisha Pai
Experience
Education
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Massachusetts Institute of Technology
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EECS - best undergrad research presentation; Fano research scholar
Teaching assistant - algorithms (6.006)
President - South Asian American Students Club -
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Volunteer Experience
Publications
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Modeling programming knowledge for mentoring at scale
ACM
See publicationIn large programming classes, MOOCs or online communities, it is challenging to find peers and mentors to help with learning specific programming concepts. In this paper we present first steps towards an automated, scalable system for matching learners with Python programmers who have expertise in different areas. The learner matching system builds a knowledge model for each programmer by analyzing their authored code and extracting features that capture domain knowledge and style. We…
In large programming classes, MOOCs or online communities, it is challenging to find peers and mentors to help with learning specific programming concepts. In this paper we present first steps towards an automated, scalable system for matching learners with Python programmers who have expertise in different areas. The learner matching system builds a knowledge model for each programmer by analyzing their authored code and extracting features that capture domain knowledge and style. We demonstrate the feasibility of a simple model that counts the references to modules from the standard library and Python Package Index in a programmers' code. We also show that programmers exhibit self-selection using which we can extract the modules a programmer is best at, even though we may not have all of their code. In our future work we aim to extend the model to encapsulate more features, and apply it for skill matching in a programming class as well as personalizing answers on StackOverflow.
Patents
Honors & Awards
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Outstanding Research Presentation - MIT CS Undergraduate Research Program
MIT
More activity by Anvisha
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March at Mintlify was fun! Every single quota-carrying rep hit 100% or above. 152% average attainment. 126% median. Quotas set at 6x OTE. Our…
March at Mintlify was fun! Every single quota-carrying rep hit 100% or above. 152% average attainment. 126% median. Quotas set at 6x OTE. Our…
Liked by Anvisha Pai
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Might sound counterintuitive but you do not need to automate everything. There is a lot of noise around people claiming they have automated their…
Might sound counterintuitive but you do not need to automate everything. There is a lot of noise around people claiming they have automated their…
Shared by Anvisha Pai
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We’re partnering with Ramp to host NYC's biggest design event of the year - a live episode of Dive Club hosted by Michael Riddering himself. We’ll…
We’re partnering with Ramp to host NYC's biggest design event of the year - a live episode of Dive Club hosted by Michael Riddering himself. We’ll…
Liked by Anvisha Pai
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I have to say, starting a company in 2026 is brutal. You are constantly rebuilding the product. The underlying capabilities are shifting so fast…
I have to say, starting a company in 2026 is brutal. You are constantly rebuilding the product. The underlying capabilities are shifting so fast…
Posted by Anvisha Pai
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I recently spoke with Libbie and Rayouf for a new piece by Bessemer Venture Partners on brand and narrative. Branding is no longer just storytelling…
I recently spoke with Libbie and Rayouf for a new piece by Bessemer Venture Partners on brand and narrative. Branding is no longer just storytelling…
Shared by Anvisha Pai
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2020 and 2026 are completely different startup games. In 2020, the biggest risk was too much capital and inflated valuations. Large rounds from…
2020 and 2026 are completely different startup games. In 2020, the biggest risk was too much capital and inflated valuations. Large rounds from…
Shared by Anvisha Pai
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