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main.tex
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main.tex
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{
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Ranked among the 30 largest executive search firms in the world, InterSearch Worldwide has 90 offices in 50 different countries.
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\begin{itemize}
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\item Developed a \textbf{Python CLI Tool} to automate Candidate CV and Financial Documentation Entry, extracting information from .pdf, .doc, and .docx CVs to the \textbf{FileFinder} database.
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\item Developed a \textbf{Python CLI Tool} to automate Candidate CV and Financial Documentation Entry, extracting information from .pdf, .doc, and .docx CVs to a \textbf{FileFinder} database.
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\item Incorporated \textbf{XML parsing} techniques for data extraction from Microsoft Word documents.
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\item Employed \textbf{Optical Character Recognition with OpenCV} to interpret non-editable PDFs.
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\item Applied \textbf{Natural Language Processing using NLTK} to categorize text tokens such as names, addresses, and skills.
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@@ -129,7 +129,7 @@
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\begin{itemize}
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\item \textbf{Arch Linux} as the base OS with \textbf{MergerFS} and \textbf{SnapRAID} as a storage and backup solution.
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\item \textbf{Docker}, \textbf{Docker Compose}, and \textbf{Portainer} as a container engine and management system.
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\item \textbf{Cloudflare Argo Tunnel}, \textbf{Nginx}, and \textbf{Let’s Encrypt} for hosting, proxying, and SSL certificate automation.
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\item \textbf{Cloudflare Argo Tunnel}, \textbf{Nginx}, and \textbf{Let's Encrypt} for hosting, proxying, and SSL certificate automation.
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\item \textbf{Grafana}, \textbf{InfluxDB}, and \textbf{Telegraf} for constant system monitoring, stats visualization, and email alerts.
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\item \textbf{DevOps Stack} including a self-hosted \textbf{GitLab} instance and \textbf{VSCode server}.
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\item Public and private \textbf{Wireguard} instances and a \textbf{Tor} relay for remote management and privacy.
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@@ -138,11 +138,24 @@
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\end{itemize}
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}
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\datedsubsectionnarrow{Ongoing}
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{}
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{QRust}
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{
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An \textbf{algorithmic trading library} written in \textbf{Rust}, designed to leverage cutting-edge technologies for financial analysis and trading. Short for ``Quantitative Rust''.
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\begin{itemize}
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\item Utilizes a compartmentalized architecture that mirrors the flexibility and scalability of \textbf{microservices}, facilitating robust and isolated development of individual components.
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\item Integrates with the Alpaca \textbf{REST API} and \textbf{WebSockets} for real-time and historical market data acquisition.
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\item Employs \textbf{ClickHouse} for efficient, fully-automated, high-speed storage and querying of trading data.
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\item Conducts \textbf{sentiment analysis} on financial headlines using a custom model based on \textbf{FINBERT}, to gauge market sentiment and inform trading decisions.
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\end{itemize}
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}
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\datedsubsectionnarrow{Sep 2022 - Apr 2023}
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{}
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{Trailblazer}
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{
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Third Year University Project. Collaborated with a research group from Lancaster University to develop an \textbf{OS performance evaluation platform}. Built using Go and Python. A paper was later submitted to the \textbf{International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) 2024}.
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Third Year University Project. Collaborated with a research group from Lancaster University to develop an \textbf{OS performance evaluation platform}. Built using Go and Python. A paper was later submitted to the International Conference on Architectural Support for Programming Languages and Operating Systems \textbf{(ASPLOS) 2024}.
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\begin{itemize}
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\item Designed experiments to benchmark performance of network-based applications such as \textbf{Apache} and \textbf{Caddy}.
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\item Implemented multiple-architecture support using the \textbf{QEMU} virtual machine emulator, focusing on \textbf{x86-64} and \textbf{RISC-V}.
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