Aashish Kolluri

AI Researcher

United Kingdom8 yrs 2 mos experience
Highly Stable

Key Highlights

  • Ph.D. in AI Security from National University of Singapore
  • Expertise in building secure AI systems
  • Research focused on distributed machine learning and privacy
Stackforce AI infers this person is a highly skilled AI Security Researcher with a focus on distributed systems and privacy.

Contact

Skills

Core Skills

Distributed Machine LearningSystems SecurityPrivacyMulti-modal Deep LearningKnowledge Graph-based RecommendationBlockchain

Other Skills

Anomaly DetectionCC++Computer ArchitectureCryptocurrencyData AnalysisData StructuresDecentralized Applications (DApps)Differential PrivacyDistributed Graph LearningFederated LearningGraph Neural NetworksHTMLHuman Activity RecognitionJava

About

Hello! I'm an AI Security Researcher. I did my Ph.D. from National University of Singapore, where I was advised by Prof. Prateek Saxena. I build AI systems with theoretical security and privacy guarantees baked into them. I am interested in topics such as robustness, privacy analysis, AI safety, and efficient distributed training.

Experience

Microsoft

Researcher

Feb 2025Present · 1 yr 1 mo · Cambridge, England, United Kingdom · On-site

  • Building safe and secure AI systems.
Distributed Machine LearningGraph Neural NetworksRobust Machine LearningSystems Security

Nokia bell labs

Research Intern

Jun 2023Aug 2023 · 2 mos · Cambridge, England, United Kingdom · On-site

Multi-modal Deep LearningHuman Activity RecognitionSpeech RecognitionSpeech Foundation Models

Aqilliz

Research Internship

Jun 2020Jul 2020 · 1 mo · Singapore · Remote

Knowledge Graph-Based RecommendationDifferential Privacy

National university of singapore

2 roles

PHD Student

Aug 2018Dec 2024 · 6 yrs 4 mos

  • I specialize in designing algorithms and building systems for scalable and secure distributed machine learning. My focus areas include graph-based machine learning and distributed graph learning applications.
  • Key research topics,
  • 1. Distributed Machine Learning
  • 2. Graph Machine Learning
  • 3. Privacy
Federated LearningDistributed Graph LearningDistributed Machine LearningDifferential PrivacySystems SecurityRobust Machine Learning+1

Research Intern

Aug 2017May 2018 · 9 mos · Singapore · On-site

  • Efficiently identifying vulnerabilities in Ethereum Smart Contracts and providing better guidelines to write more reliable contract code.
Federated LearningBlockchainProgram AnalysisDecentralized Applications (DApps)Systems Security

Flipkart

Internship

May 2016Jul 2016 · 2 mos · Bengaluru Area, India

Education

National University of Singapore

Doctor of Philosophy - PhD — AI Security

Aug 2018Dec 2024

IIT Kanpur

Computer Science

Jan 2013Jan 2017

Narayana Olympiad School Tarnaka

High School — MPC

Jan 2008Jan 2012

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