Narek Maloyan
AI Research Engineer & PhD Candidate
GitHub · LinkedIn · Kaggle · Google Scholar · Email · X/Twitter · Resume PDF
Building AI coding assistants at Zencoder and researching AI safety — jailbreaks, prompt injections, and trojan detection in LLMs. PhD candidate at Lomonosov Moscow State University. Teaching Deep Learning at MSU since 2021.
Experience
Zencoder — AI Research Engineer (2024–present)
Building AI-powered coding agents. Led team to #1 on SWE-bench Verified (May 2025).
Viasat — ML Engineer (2021–2024)
Video highlights extraction, movie recommendations, semantic search optimization.
TrendMD — ML Engineer (2019–2021)
Medical article recommendations, speech-to-text for doctors, uplift modeling.
Burdenko NSI — ML Engineer (2020–2022)
MRI analysis for brain tumor classification, stroke risk prediction.
ODS.ai — Community Contributor (2020–2022)
Data science competition pipelines, organized ML competitions with 1000+ participants.
Teaching
Deep Learning — Moscow State University (since 2021)
Graduate-level course covering neural architectures, optimization, and practical applications.
AI & ML Cheatsheet
Open-source reference guide covering key concepts across ML and data science.
manim-js (339+ stars)
TypeScript port of 3Blue1Brown's Manim for creating math animations on the web.
Selected Publications
- Prompt Injection Attacks on Agentic Coding Assistants. IJOIT 14(2), 2026. [paper]
- Breaking the Protocol: MCP Security Analysis. Modern IT and IT-education 21(3), 2026. [paper]
- Investigating LLM-as-a-Judge Vulnerability to Prompt Injection. IJOIT 13(9), 2025. [paper]
- Adversarial Attacks on LLM-as-a-Judge Systems. arXiv:2504.18333, 2025. [paper]
- Prompt Injection Attacks in Defended Systems. DCCN, 2024. [paper]
Blog
Contact
Available for full-time roles, research collaborations, consulting, and speaking engagements.
- [email protected]
- github.com/maloyan
- linkedin.com/in/nmaloyan
- x.com/NarekMaloyan
- Google Scholar
- kaggle.com/narek1110