Goran Piskachev
Applied Scientist at IEEE Software
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolGoran Piskachev is an applied scientist with 12+ years blending academic rigor and industry impact, currently focused on responsible AI and the privacy/security of data for generative models at AWS in New York. His expertise centers on application security, static analysis, SAST tooling, information flow analysis, and automated sanitization, built on deep research experience at Fraunhofer and a Doctorate from Paderborn University. He has a strong engineering footprint in Java bytecode analysis—contributing to the well-known Soot optimization framework—which underscores his low-level systems and compiler-style skills. Goran pairs hands-on development with leadership experience, having managed research teams and served as an associate editor for IEEE Software, reflecting both technical depth and community influence. He is motivated by translating cutting-edge research into scalable, practical defenses that make software and AI systems more trustworthy.
12 years of coding experience
12 years of employment as a software developer
Doctor of Science, Doctor of Science at Paderborn UniversityIB Diploma, IB Diploma at International BaccalaureateGraduated Engineer in Electrical Engineering and Information Technologies Informatics and Computer Engineering, Graduated Engineer in Electrical Engineering and Information Technologies Informatics and Computer Engineering at Ss. Cyril and Methodius University in Skopje
Macedonian, English, German, Spanish
Github Skills (10)
javas10
analyse10
soot10
analyser10
optimisation10
bytecode10
java10
optimization9
j8
jimp8
Programming languages (4)
Github contributions (5)
soot-oss/soot
Mar 2021 - Mar 2021
Soot - A Java optimization framework
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 reviews, 4 commits, 6 PRs in 1 day
Contributions summary:Goran primarily focused on modifying the `AbstractASMBackend` class, which is part of the Soot Java optimization framework. Their changes included merging branches, adding new features for bytecode generation, and correcting local variable names. They also modified other code related to Java bytecode manipulation and call graph construction. The commits involve various aspects of Java optimization, indicating a strong understanding of bytecode generation and analysis.
java-optimization-frameworksootjava-optimizationoptimization-frameworkoptimization
piskachev/piskachev.github.io
Aug 2019 - Feb 2025
Personal web page
Contributions:1 PR, 107 pushes, 1 branch in 5 years 6 months
personal-web-pagereactweb-pageweb-personal
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