Ragha Rao
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Ragha Rao Email & Phone Number

Machine Learning and Information Engineering student at University of Cambridge at Cambridge AI Safety Hub
Location: Cambridge, England, United Kingdom 5 work roles 3 schools
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Machine Learning and Information Engineering student at University of Cambridge
Location
Cambridge, England, United Kingdom

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Ragha Rao is listed as Machine Learning and Information Engineering student at University of Cambridge at Cambridge AI Safety Hub, based in Cambridge, England, United Kingdom. AeroLeads shows a matched LinkedIn profile for Ragha Rao.

Ragha Rao previously worked as Researcher at Cambridge Ai Safety Hub and Facilitator at Cambridge Ai Safety Hub. Ragha Rao holds Master Of Engineering - Meng, Aspiring Machine Learning Engineer, Computer And Information Sciences, General, Top 4Th Percentile (12/341) - 1St Year Tripos from University Of Cambridge.

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Cambridge AI Safety Hub

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About Ragha Rao

Ragha Rao is a Machine Learning and Information Engineering student at University of Cambridge at Cambridge AI Safety Hub.

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Cambridge AI Safety Hub
Cambridge Ai Safety Hub
Machine Learning and Information Engineering student at University of Cambridge
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5 roles

Ragha Rao work experience

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Researcher

Current

Cambridge, England, United Kingdom

Developmental Interpretability, stemming from Singular Learning Theory (SLT), aims at explaining behaviours of AI models through a generalised framework. If SLT is applicable for our current models, that would allow us to finally tackle the largest problems we face such as deception of AI models. I research on testing SLT’s claims on gradient descents, particularly that Stochastic gradient descent general using better than natural gradient descent. This test is necessary in… Show more Developmental Interpretability, stemming from Singular Learning Theory (SLT), aims at explaining behaviours of AI models through a generalised framework. If SLT is applicable for our current models, that would allow us to finally tackle the largest problems we face such as deception of AI models. I research on testing SLT’s claims on gradient descents, particularly that Stochastic gradient descent general using better than natural gradient descent. This test is necessary in building evidence for a possible “grand unified theory of AI” Show less

Jan 2024 - Present

Facilitator

Cambridge, England, United Kingdom

Educate fellows of AI Safety Technical Fellowship on latest technical AI research papers This fellowship is a 7 week course where I conduct lessons for fellows ranging from undergraduates to PHDs

Jan 2024 - Mar 2024

Chief Technical Officer

Current
Hydraited

United Kingdom

I co-started Hydraited. We are developing Water Quality checks that can be used by rural communities, empowering them to monitor their own water quality. I alone developed the technological system used to run our product, powered by my custom AI model

Oct 2023 - Present

Machine Learning Engineer

United States

Built a “light weight” Regional-CNN Model from scratch to detect and classify arrows in a financial chart. Used further statistical methods (k-means clustering, text recognition) to provide more information on the chart

Mar 2023 - Oct 2023

Sergeant

Singapore

I successfully completed command school and served a sergeant in the Singapore Army

Mar 2021 - Aug 2022
3 education records

Ragha Rao education

Master Of Engineering - Meng, Aspiring Machine Learning Engineer, Computer And Information Sciences, General, Top 4Th Percentile (12/341) - 1St Year Tripos

Activities and Societies: Hackbridge (Artificial intelligence) 1st project: Use AI to aid financial analysis

Part Time As A High School Student, Engineering, A+ Pc1144 Introduction To Modern Physics

A+ PC1142 Introduction to Thermodynamics and Optics A+ MA1102R Calculus Completed EG1310 Exploratory Satellite Design

High School Diploma, Maths, Physics And Chemistry (Triple Honours), High Distinction, Best In Mathematics, Research Excellence

Activities and Societies: Astronomy club section leader Maths Interest Group Maths Tuition Teacher with 20 students

FAQ

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What company does Ragha Rao work for?

Ragha Rao works for Cambridge AI Safety Hub.

What is Ragha Rao's role at Cambridge AI Safety Hub?

Ragha Rao is listed as Machine Learning and Information Engineering student at University of Cambridge at Cambridge AI Safety Hub.

Where is Ragha Rao based?

Ragha Rao is based in Cambridge, England, United Kingdom while working with Cambridge AI Safety Hub.

What companies has Ragha Rao worked for?

Ragha Rao has worked for Cambridge Ai Safety Hub, Hydraited, Playfair, and Singapore Army.

How can I contact Ragha Rao?

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What schools did Ragha Rao attend?

Ragha Rao holds Master Of Engineering - Meng, Aspiring Machine Learning Engineer, Computer And Information Sciences, General, Top 4Th Percentile (12/341) - 1St Year Tripos from University Of Cambridge.

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