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\begin{center}
{\LARGE\bfseries\color{TextPrimary}PAVEL VASILYEV}\\[4pt]
{\large\color{TextPrimary}LLM Engineer / AI Infrastructure Specialist}\\[8pt]
{\normalsize\color{TextSecondary}
Jerusalem, Israel \textbar\ \href{mailto:marchdown@gmail.com}{marchdown@gmail.com} \textbar\ +972-54-343-1123 \textbar\ \href{https://github.com/marchdown}{marchdown} \textbar\ \href{https://linkedin.com/in/pavel--vasilyev}{pavel--vasilyev}}
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\vspace{14pt}

{\color{TextPrimary}
Built production LLM systems for \textbf{therapeutic chatbots}, including \textbf{prompt engineering}, \textbf{safety guardrails}, and \textbf{RAG pipelines} using GPT-3.5/4 and Claude. Previously developed ML/NLP systems across fintech, healthcare, and quantitative research.

Work primarily in \textbf{Python} with strong functional programming background (\textbf{Clojure}, \textbf{Elixir}). MSc Computational Linguistics, MSc Nuclear Physics.}

\vspace{18pt}

\section*{Experience}

\subsection*{Independent Consultant \hfill \dated{Mar 2024 – Dec 2024}}
\companyline{Various Clients}{Remote}

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\begin{itemize}
\item {\color{TextPrimary}\textbf{LevEhat NGO (CTO):} Led cloud migration from GCP to AWS for volunteer management platform}
\item {\color{TextPrimary}\textbf{Fintilligence (Technical Lead):} Built market microstructure analytics platform with PIN/VPIN algorithms and Level 2 data pipelines}
\item {\color{TextPrimary}\textbf{General consulting:} Time-series forecasting models, NLP classification systems, infrastructure architecture}
\end{itemize}


\subsection*{AI Architect \hfill \dated{Jan 2023 – Dec 2023}}
\companyline{Stamina AI}{Remote}

\vspace{4pt}
\begin{itemize}
\item {\color{TextPrimary}Built complete LLM pipeline: prompt engineering, context management, response generation, safety guardrails}
\item {\color{TextPrimary}Integrated OpenAI GPT-3.5/4 APIs with custom safety layers and content filtering}
\end{itemize}


\subsection*{Independent Consultant \hfill \dated{2022 – 2023}}
\companyline{Various Clients}{Remote}

\vspace{4pt}
\begin{itemize}
\item {\color{TextPrimary}Time-series forecasting, text classification, data pipeline optimization}
\end{itemize}


\subsection*{Senior Researcher \hfill \dated{2020 – 2021}}
\companyline{Spring Research}{Remote}

\vspace{4pt}
\begin{itemize}
\item {\color{TextPrimary}Developed ML models for trading signal generation using time-series analysis and statistical methods}
\item {\color{TextPrimary}Built data pipelines processing Level 2 market data (tick-by-tick, order book, market depth)}
\item {\color{TextPrimary}Researched topology-inspired approaches to market microstructure modeling}
\end{itemize}


\subsection*{Data Scientist \hfill \dated{2019}}
\companyline{Nestlogic}{Remote}

\vspace{4pt}
\begin{itemize}
\item {\color{TextPrimary}Built computer vision models for advertising creative optimization (image feature extraction)}
\item {\color{TextPrimary}Implemented A/B testing infrastructure using statistical hypothesis testing (t-tests, chi-square)}
\item {\color{TextPrimary}Deployed ML models to production on Google Cloud Platform with Kubernetes}
\end{itemize}

\vspace{6pt}

\section*{Technical Skills}

\noindent\textbf{LLM Engineering (3 years):} prompt engineering, rag pipelines, safety \& guardrails · Technologies: openai gpt-3.5/4, anthropic claude

\vspace{6pt}

\noindent\textbf{Programming Languages:} Python, Clojure, Rust, Go, Elixir, Java, R, SQL

\vspace{6pt}

\noindent\textbf{Machine Learning \& AI:} Frameworks: pytorch, tensorflow, keras, scikit-learn, xgboost, lightgbm, catboost · NLP: spacy, nltk, hugging face transformers · Deep Learning: cnns, rnns, lstms, grus, transformers, attention-mechanisms, transfer-learning, fine-tuning

\vspace{6pt}

\noindent\textbf{Cloud \& Infrastructure:} AWS: ec2, s3, sagemaker, lambda · GCP: compute engine, cloud storage, gke · Containers: docker, kubernetes

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\noindent\textbf{Databases:} PostgreSQL, MongoDB, Redis, Neo4j, SQLite, MySQL

\vspace{2pt}

\section*{Education}

\subsection*{MSc Computational Linguistics \hfill \dated{2016}}
\companyline{Russian State University for the Humanities}{Moscow, Russia}

\vspace{2pt}
{\small\itshape\color{TextSecondary}Statistical NLP, machine translation, information extraction}

\vspace{8pt}

\subsection*{MSc Nuclear Physics \hfill \dated{2011}}
\companyline{Czech Technical University}{Prague, Czech Republic}

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{\small\itshape\color{TextSecondary}Mathematical modeling, statistical analysis, computational physics}

\vspace{8pt}

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\section*{Languages}

\noindent{\color{TextPrimary}English (Fluent), Russian (Native), French (Conversational), German (Conversational), Czech (Conversational), Hebrew (Basic)}

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