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\begin{document}

% Name with enhanced styling
\centerline{\Huge\color{headerblue}\textbf{Yiğit Çolakoğlu}}

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% Contact Information with subtle styling
\centerline{\color{darkgray}root@yigit.run | yigit.run | github.com/arg3t}

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% Education
\section*{Education}
\textbf{TU Delft} -- MSc in Computer Science (Cyber Security \& Distributed Systems) \hfill Sept 2024 -- Present \\
\textbf{TU Delft} -- BSc in Computer Science and Engineering, \textit{\color{accentblue}Cum Laude} (\highlight{8.1/10}) \hfill Sept 2021 -- June 2024

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% Experience
\section*{Experience}
\textbf{Developer \& Offensive Cyber Threat Intelligence Analyst,} PRODAFT -- Den Haag, NL \hfill Sept 2022 -- Present
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\begin{itemize}
  \item Maintain OSS threat intelligence correlation platform (CRADLE) processing \highlight{15,000+ weekly artifacts} from 5 data sources, reducing analysis time by \highlight{45\%}
  \item Lead team of \highlight{5 engineers} developing open source threat intelligence platform CRADLE with \highlight{200+ GitHub stars}
  \item Implemented graph-based correlation algorithms (PageRank, risk propagation) in Neo4j for threat classification across \highlight{1M+ nodes}
  \item Automated \highlight{8 manual threat intelligence workflows} using Python, saving \highlight{20 hours weekly}
  \item Conducted threat hunting operations, authoring \highlight{2 published reports} and presenting at ONE Security Summit
\end{itemize}

\textbf{Teaching Assistant,} TU Delft -- Delft, NL \hfill Sept 2022 -- Present
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\begin{itemize}
  \item Instructed \highlight{500+ students} across \highlight{6 computer science courses} including Computer Organization, Distributed Systems, and Embedded Software
\end{itemize}

\textbf{Digital Forensics Automation Developer Intern,} Police Department -- Rotterdam, NL \hfill Apr 2023 -- July 2023
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\begin{itemize}
  \item Developed Python-based forensic tool detecting encrypted containers in \highlight{5TB+ evidence files}, eliminating manual analysis tasks
  \item Automated field data extraction from desktop devices allowing officers to quickly acquire data from live systems with minimal training
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% Projects
\section*{Projects}
\textbf{CTF Challenge Designer \& Organizer} \hfill ctf.ewi.tudelft.nl
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\begin{itemize}
  \item Organized \highlight{2 CTF competitions} with \highlight{300+ participants}, TU Delft's largest CTF event
  \item Designed \highlight{5 CTF challenges} ranging from web exploitation to binary/kernel exploitation
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\textbf{Tilikum -- DAG-based Consensus Protocol with Fair Ordering} \hfill
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\begin{itemize}
  \item Developed fair-ordering algorithm preventing MEV attacks using ordering linearizability and batch-order-fairness
  \item Optimized BFT consensus achieving \highlight{12,000 tx/s throughput} with \highlight{<2s latency}, major improvement for fair ordering protocols
\end{itemize}

\textbf{LLVM Fence Optimization -- Memory Ordering Optimization} \hfill github.com/arg3t/cs4560\_fencing
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\begin{itemize}
  \item Implemented LLVM pass optimizing fence placement in concurrent programs using min-cut max-flow algorithm
  \item Fully eliminate unnecessary fences in LLVM programs while ensuring memory consistency
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\textbf{Sanctum -- Process-Bound Disk Encryption} \hfill github.com/arg3t/sanctum
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\begin{itemize}
  \item Developed Linux kernel module enabling transparent per-process encryption with \highlight{<5\% performance overhead}
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\textbf{massurl -- High-Performance URL Reconnaissance Tool} \hfill github.com/arg3t/massurl
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\begin{itemize}
  \item Built URL aggregator processing \highlight{250K+ URLs/second}
\end{itemize}

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% Skills with enhanced formatting
\section*{Skills}
\textbf{Languages:} Python, C, Rust, Go, Java, JavaScript, Bash \\
\textbf{Technologies:} Django, Neo4j, Linux Kernel, Docker, Kubernetes, Git, PostgreSQL, React, Qt, Tokio \\
\textbf{Security:} Penetration Testing, Threat Intelligence, Binary Exploitation, Byzantine Consensus, Concurrency \\

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