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\begin{document}

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% HEADER - Name, title, contact (Visual Levels 1, 2, 3)
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\begin{center}
    % NAME - Visual Level 1 (strongest element)
    {\LARGE\sffamily\bfseries\color{NameBlack}Pavel Vasilyev}\\[5pt]

    % TITLE - Visual Level 2 (immediate context)
    {\large\color{TextPrimary}LLM Engineer / AI Infrastructure Specialist}\\[7pt]

    % CONTACT - Visual Level 3 (functional, scannable)
    {\footnotesize\color{TextMeta}
        Jerusalem, Israel \textcolor{TextLight}{•}
        \href{mailto:marchdown@gmail.com}{marchdown@gmail.com} \textcolor{TextLight}{•}
        +972-54-343-1123\\[2pt]
        \href{https://github.com/marchdown}{marchdown} \textcolor{TextLight}{•}
        \href{https://linkedin.com/in/pavel-vasilyev-65105b149}{pavel-vasilyev-65105b149}
    }
\end{center}

\vspace{8pt}

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% SUMMARY - Concise value proposition
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\section*{Summary}

{\small\color{TextPrimary}LLM engineer with 14 years ML/NLP experience and 3 years specializing in production language model systems.}

{\small\color{TextPrimary}Expert in LLM workflows, safety guardrails, prompt engineering, and scaling generative AI infrastructure.}

{\small\color{TextPrimary}Strong functional programming background (Clojure, Elixir) with production systems experience in Python, Rust, Go, Java, and R.}

{\small\color{TextPrimary}MSc Computational Linguistics, BSc Nuclear Physics.}


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% EXPERIENCE - Reverse chronological, emphasis on LLM work
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\section*{Experience}

\subsection*{Independent Consultant}

{\small\textbf{\color{TextMeta}Various Clients} \textcolor{TextLight}{•} \textit{Remote}}%
\hfill%
{\small\color{TextLight}Mar 2024 – Dec 2024}

\vspace{1pt}
\begin{itemize}
\item {\small\color{TextPrimary}**LevEhat NGO (CTO, 5 months):** Led cloud migration from GCP to AWS, coordinated team of 5 for volunteer management platform}
\item {\small\color{TextPrimary}**Fintilligence (Technical Lead, 4 months):** Built market microstructure analytics platform with PIN/VPIN algorithms and Level 2 data pipelines}
\item {\small\color{TextPrimary}**General consulting:** Time-series forecasting models, NLP classification systems, infrastructure architecture}
\end{itemize}
\vspace{5pt}

\subsection*{AI Architect}

{\small\textbf{\color{TextMeta}Stamina AI} \textcolor{TextLight}{•} \textit{Remote}}%
\hfill%
{\small\color{TextLight}Jan 2023 – Dec 2023}

\vspace{1pt}
\begin{itemize}
\item {\small\color{TextPrimary}Built complete LLM pipeline: prompt engineering, context management, response generation, safety guardrails}
\item {\small\color{TextPrimary}Integrated OpenAI GPT-3.5/4 APIs with custom safety layers and content filtering}
\item {\small\color{TextPrimary}Designed conversation state management and session handling for therapeutic context}
\end{itemize}
\vspace{5pt}

\subsection*{Independent Consultant}

{\small\textbf{\color{TextMeta}Various Clients} \textcolor{TextLight}{•} \textit{Remote}}%
\hfill%
{\small\color{TextLight}2022 – 2023}

\vspace{1pt}
\begin{itemize}
\item {\small\color{TextPrimary}Projects: time-series forecasting, text classification, data pipeline optimization}
\end{itemize}
\vspace{5pt}

\subsection*{Senior Researcher}

{\small\textbf{\color{TextMeta}Spring Research} \textcolor{TextLight}{•} \textit{Remote}}%
\hfill%
{\small\color{TextLight}2020 – 2021}

\vspace{1pt}
\begin{itemize}
\item {\small\color{TextPrimary}Developed ML models for trading signal generation using time-series analysis and statistical methods}
\item {\small\color{TextPrimary}Built data pipelines processing Level 2 market data (tick-by-tick, order book, market depth)}
\item {\small\color{TextPrimary}Researched topology-inspired approaches to market microstructure modeling}
\end{itemize}
\vspace{5pt}

\subsection*{Data Scientist}

{\small\textbf{\color{TextMeta}Nestlogic} \textcolor{TextLight}{•} \textit{Remote}}%
\hfill%
{\small\color{TextLight}2019}

\vspace{1pt}
\begin{itemize}
\item {\small\color{TextPrimary}Built computer vision models for advertising creative optimization (image feature extraction)}
\item {\small\color{TextPrimary}Implemented A/B testing infrastructure using statistical hypothesis testing (t-tests, chi-square)}
\item {\small\color{TextPrimary}Deployed ML models to production on Google Cloud Platform with Kubernetes}
\end{itemize}
\vspace{5pt}

\subsection*{Data Scientist}

{\small\textbf{\color{TextMeta}Maverick Medical AI} \textcolor{TextLight}{•} \textit{Remote}}%
\hfill%
{\small\color{TextLight}2018}

\vspace{1pt}
\begin{itemize}
\item {\small\color{TextPrimary}Developed NLP system for medical named entity recognition in clinical text using spaCy and BiLSTM}
\item {\small\color{TextPrimary}Built medical ontology framework for standardizing terminology across different hospital systems}
\item {\small\color{TextPrimary}Created decision support tools for clinical workflows highlighting critical findings}
\end{itemize}
\vspace{5pt}

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% EDUCATION - Credentials, brief
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\section*{Education}

\subsection*{MSc Computational Linguistics}

{\small\textbf{\color{TextMeta}Russian State University for the Humanities (RSUH)} \textcolor{TextLight}{•} \textit{Moscow, Russia}}%
\hfill%
{\small\color{TextLight}2016}\\[1pt]
{\small\itshape\color{TextMeta}Statistical NLP, Machine Translation, Information Extraction}

\vspace{5pt}

\subsection*{BSc Nuclear Physics}

{\small\textbf{\color{TextMeta}Czech Technical University} \textcolor{TextLight}{•} \textit{Prague, Czech Republic}}%
\hfill%
{\small\color{TextLight}2011}\\[1pt]
{\small\itshape\color{TextMeta}Mathematical Modeling, Statistical Analysis, Computational Physics}

\vspace{5pt}

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% SKILLS - Scannable, keyword-optimized
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\section*{Technical Skills}

{\normalsize\sffamily\bfseries\color{HeadingBlue}LLM Engineering} \hfill {\small\itshape\color{TextLight}3 years production}\\[2pt]

{\small\color{TextPrimary}\textbf{APIs:} OpenAI GPT-3.5/4, Anthropic Claude\\[1pt] \textbf{Workflows:} prompt engineering, RAG pipelines, context management, safety guardrails, content filtering\\[1pt] \textbf{Infrastructure:} production deployment, latency optimization, monitoring, cost optimization\\[1pt] \textbf{Specialization:} therapeutic chatbots, conversational AI, safety systems}

\vspace{6pt}

{\small\sffamily\bfseries\color{HeadingBlue}Programming}

\vspace{1pt}
{\small\color{TextPrimary}
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{4pt}

{\small\sffamily\bfseries\color{HeadingBlue}ML/AI}

\vspace{1pt}
{\small\color{TextPrimary}
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{4pt}

{\small\sffamily\bfseries\color{HeadingBlue}Cloud \& Infrastructure}

\vspace{1pt}
{\small\color{TextPrimary}
AWS: EC2, S3, SageMaker, Lambda • GCP: GCE, GCS, GKE • Containers: Docker, Kubernetes}

\vspace{4pt}

{\small\sffamily\bfseries\color{HeadingBlue}Databases}

\vspace{1pt}
{\small\color{TextPrimary}
PostgreSQL (expert) • MongoDB, Redis, Neo4j, SQLite, MySQL}

\vspace{4pt}

{\small\sffamily\bfseries\color{HeadingBlue}Data Engineering}

\vspace{1pt}
{\small\color{TextPrimary}
Apache Spark, Apache Airflow, Kafka • ETL pipelines, data quality, orchestration}

\vspace{4pt}

\vspace{2pt}
{\small\sffamily\bfseries\color{HeadingBlue}Domain Expertise}

\vspace{1pt}
{\small\textbf{\color{TextPrimary}LLM Production Systems} \textcolor{TextLight}{(3 years)}: \color{TextMeta}Therapeutic chatbots, safety systems, prompt engineering, RAG pipelines}\\[2pt]
{\small\textbf{\color{TextPrimary}Quantitative Finance} \textcolor{TextLight}{(2+ years)}: \color{TextMeta}Level 2 market data, PIN/VPIN algorithms, order flow analysis, backtesting}\\[2pt]
{\small\textbf{\color{TextPrimary}Healthcare AI} \textcolor{TextLight}{(1 year)}: \color{TextMeta}Medical NER, clinical terminology, HIPAA compliance, decision support tools}\\[2pt]
{\small\textbf{\color{TextPrimary}Financial NLP} \textcolor{TextLight}{(1 year)}: \color{TextMeta}SEC filings analysis, knowledge graphs, entity linking, sentiment analysis}\\[2pt]

\vspace{6pt}

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% LANGUAGES
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\section*{Languages}

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

\end{document}
