126 lines
5.0 KiB
TeX
126 lines
5.0 KiB
TeX
\documentclass[11pt]{article}
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\usepackage[letterpaper,
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top=0.5in,
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bottom=0.5in,
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left=0.5in,
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right=0.5in]{geometry}
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\usepackage{XCharter}
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\usepackage[T1]{fontenc}
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\usepackage[utf8]{inputenc}
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\usepackage{enumitem}
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\usepackage[hidelinks]{hyperref}
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\usepackage{titlesec}
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\usepackage{xcolor}
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\usepackage{graphicx}
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\raggedright
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\pagestyle{empty}
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\input{glyphtounicode}
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\pdfgentounicode=1
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% Define professional colors
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\definecolor{headerblue}{RGB}{25, 25, 112}
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\definecolor{accentblue}{RGB}{70, 130, 180}
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\definecolor{darkgray}{RGB}{64, 64, 64}
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% Enhanced section formatting with color
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\titleformat{\section}{\color{headerblue}\bfseries\large}{}{0pt}{}[\vspace{1pt}{\color{accentblue}\titlerule}\vspace{-6.5pt}]
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\renewcommand\labelitemi{$\vcenter{\hbox{\small\color{accentblue}$\bullet$}}$}
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\setlist[itemize]{itemsep=-2pt, leftmargin=12pt, topsep=7pt}
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% Custom command for highlighting key achievements
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\newcommand{\highlight}[1]{\textbf{\color{darkgray}#1}}
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\begin{document}
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% Name with enhanced styling
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\centerline{\Huge\color{headerblue}\textbf{Yiğit Çolakoğlu}}
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\vspace{5pt}
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% Contact Information with subtle styling
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\centerline{\color{darkgray}root@yigit.run | yigit.run | github.com/arg3t}
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\vspace{-10pt}
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% Education
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\section*{Education}
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\textbf{TU Delft} -- MSc in Computer Science (Cyber Security \& Distributed Systems) \hfill Sept 2024 -- Present \\
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\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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\vspace{-6.5pt}
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% Experience
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\section*{Experience}
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\textbf{Developer \& Offensive Cyber Threat Intelligence Analyst,} PRODAFT -- Den Haag, NL \hfill Sept 2022 -- Present
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\vspace{-9pt}
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\begin{itemize}
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\item Maintain OSS threat intelligence correlation platform (CRADLE) processing \highlight{15,000+ weekly artifacts} from 5 data sources, reducing analysis time by \highlight{45\%}
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\item Lead team of \highlight{5 engineers} developing open source threat intelligence platform CRADLE with \highlight{200+ GitHub stars}
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\item Implemented graph-based correlation algorithms (PageRank, risk propagation) in Neo4j for threat classification across \highlight{1M+ nodes}
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\item Automated \highlight{8 manual threat intelligence workflows} using Python, saving \highlight{20 hours weekly}
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\item Conducted threat hunting operations, authoring \highlight{2 published reports} and presenting at ONE Security Summit
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\end{itemize}
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\textbf{Teaching Assistant,} TU Delft -- Delft, NL \hfill Sept 2022 -- Present
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\vspace{-9pt}
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\begin{itemize}
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\item Instructed \highlight{500+ students} across \highlight{6 computer science courses} including Computer Organization, Distributed Systems, and Embedded Software
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\end{itemize}
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\textbf{Digital Forensics Automation Developer Intern,} Police Department -- Rotterdam, NL \hfill Apr 2023 -- July 2023
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\vspace{-9pt}
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\begin{itemize}
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\item Developed Python-based forensic tool detecting encrypted containers in \highlight{5TB+ evidence files}, eliminating manual analysis tasks
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\item Automated field data extraction from desktop devices allowing officers to quickly acquire data from live systems with minimal training
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\end{itemize}
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\vspace{-18.5pt}
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% Projects
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\section*{Projects}
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\textbf{CTF Challenge Designer \& Organizer} \hfill ctf.ewi.tudelft.nl
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\vspace{-9pt}
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\begin{itemize}
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\item Organized \highlight{2 CTF competitions} with \highlight{300+ participants}, TU Delft's largest CTF event
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\item Designed \highlight{5 CTF challenges} ranging from web exploitation to binary/kernel exploitation
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\end{itemize}
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\textbf{Tilikum -- DAG-based Consensus Protocol with Fair Ordering} \hfill
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\vspace{-9pt}
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\begin{itemize}
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\item Developed fair-ordering algorithm preventing MEV attacks using ordering linearizability and batch-order-fairness
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\item Optimized BFT consensus achieving \highlight{12,000 tx/s throughput} with \highlight{<2s latency}, major improvement for fair ordering protocols
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\end{itemize}
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\textbf{LLVM Fence Optimization -- Memory Ordering Optimization} \hfill github.com/arg3t/cs4560\_fencing
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\vspace{-9pt}
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\begin{itemize}
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\item Implemented LLVM pass optimizing fence placement in concurrent programs using min-cut max-flow algorithm
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\item Fully eliminate unnecessary fences in LLVM programs while ensuring memory consistency
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\end{itemize}
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\textbf{Sanctum -- Process-Bound Disk Encryption} \hfill github.com/arg3t/sanctum
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\vspace{-9pt}
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\begin{itemize}
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\item Developed Linux kernel module enabling transparent per-process encryption with \highlight{<5\% performance overhead}
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\end{itemize}
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\textbf{massurl -- High-Performance URL Reconnaissance Tool} \hfill github.com/arg3t/massurl
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\vspace{-9pt}
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\begin{itemize}
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\item Built URL aggregator processing \highlight{250K+ URLs/second}
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\end{itemize}
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\vspace{-18.5pt}
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% Skills with enhanced formatting
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\section*{Skills}
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\textbf{Languages:} Python, C, Rust, Go, Java, JavaScript, Bash \\
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\textbf{Technologies:} Django, Neo4j, Linux Kernel, Docker, Kubernetes, Git, PostgreSQL, React, Qt, Tokio \\
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\textbf{Security:} Penetration Testing, Threat Intelligence, Binary Exploitation, Byzantine Consensus, Concurrency \\
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\end{document}
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