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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\ %
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        \href{https://linkedin.com/in/pavel--vasilyev}{pavel--vasilyev}%
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{\color{TextPrimary}
Built production LLM systems for therapeutic chatbots, including prompt engineering, safety guardrails, and RAG pipelines using GPT-3.5/4 and Claude. Previously developed ML/NLP systems across fintech, healthcare, and quantitative research for over a decade.

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

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\section*{Experience}

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

\vspace{4pt}
\begin{itemize}
\item {\color{TextPrimary}\textbf{LevEhat NGO (CTO, 5 months):} Led cloud migration from GCP to AWS, coordinated team of 5 for volunteer management platform}
\item {\color{TextPrimary}\textbf{Fintilligence (Technical Lead, 4 months):} 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}

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\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}
\item {\color{TextPrimary}Designed conversation state management and session handling for therapeutic context}
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\subsection*{Independent Consultant \hfill \dated{2022 – 2023}}
\companyline{Various Clients}{Remote}

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\begin{itemize}
\item {\color{TextPrimary}Projects: 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}

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\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 production):} OpenAI GPT-3.5/4, Anthropic Claude, prompt engineering, RAG pipelines, context management, safety guardrails, content filtering, production deployment

\vspace{6pt}

\noindent\textbf{Programming:} Python (10+ years production), Clojure (10+ years), Rust (5+ years), Go (3+ years), Elixir (2+ years), Java, R, SQL (advanced), bash, Functional background: Common Lisp, Haskell

\vspace{6pt}

\noindent\textbf{ML/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

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\noindent\textbf{Cloud \& Infrastructure:} AWS: EC2, S3, SageMaker, Lambda, GCP: GCE, GCS, GKE, Containers: Docker, Kubernetes

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

\vspace{6pt}

\vspace{2pt}

\section*{Education}

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

\vspace{2pt}
{\small\itshape\color{TextSecondary}Statistical NLP, Machine Translation, Information Extraction}

\vspace{8pt}

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

\vspace{2pt}
{\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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