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Data Scientist
1mo
BNY Mellon, Jun 25' - Present
@_abhisheksankar
Abhishek Sankar
@_abhisheksankar
I'm a graduate student at Carnegie Mellon University studying Artificial Intelligence. I'm interested in learning what makes LLMs tick, and how we can better understand emergent behaviours.
I'm a graduate student at Carnegie Mellon University studying Artificial Intelligence. I'm interested in learning what makes LLMs tick, and how we can better understand emergent behaviours.
Data Scientist, BNY Mellon
Thiruvananthapuram, India
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hackathons
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Hackathons org.
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repositories
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followers
Repo housing my Leetcode, Exercism, HackerRank and InterviewBit solutions: Python / C++ / Go
C++
1Stars
0Forks
A community web app built around CMU students
JavaScript
0Stars
0Forks
An implementation of the paper - Energy-Efficient Fault Tolerance for Real-Time Tasks with Precedence Constraints on Heterogeneous Multicore Systems
Python
1Stars
1Forks
A side project attempting at contact tracing, and providing a better sense of security at future gatherings.
Kotlin
2Stars
0Forks
B
1 month
Jun 25' - Present
Intern Data Scientist
B
B
1mo
BNY Mellon, Jun 25' - Present
2y 10mos
Providence Health Plan, Aug 21' - Jun 24'
T
An app that collects political news articles during an election cycle and weighs them according to the relative coverage vs polling correlation of the candidates, using a blockchain database.
During an election cycle, a candidate who brings in higher ratings for a news network is covered on a far less selective basis than their fellow candidates. And studies have shown that any mention of a candidate in the media, regardless of context, warms the voters to that name come voting time. Thus, unfair media coverage is the most pervasive information warfare employed during election cycles today. This weighted news algorithm, that prioritizes candidates that are actively working toward their campaign, but are not as inflammatory as their competititors, and thus solves this issue. It also effectively solves the issue of external or foreign influence in internal information flow, through the security of the blockchain framework as a database.