Shawyan Tabari

    My focus

    is building on

    Finance and AI

    Currently, I’m a quantitative researcher at Kissell Research Group while completing my Master’s in Finance at Fordham University | Gabelli School of Business in New York.

    I earned my Bachelor of Science in Computer Science at Washington State University and previously worked as a software engineer and QA analyst.

    My work combines financial analysis with software development. Outside work and school, I build custom applications using AI and automation to simplify financial research and repetitive tasks.

    Featured Projects

    Research platform

    Dolph

    An SEC and EDGAR research workflow built to transform raw filings into cleaner, more structured company analysis documents.

    The system is designed around a practical business need: making dense documents with vast amounts of information faster to review without flattening the details that matter in real research.

    Search
    Search SEC/EDGAR filings with precision with previews and direct source links.
    Analyze & Compare
    Generate single company and multi-company analysis from SEC filings, statements, and disclosures.
    Download
    Export clean PDF and CSV outputs with structured financial data ready for deep research.
    Dolph preview

    Sentiment Analysis Engine

    Sentimizer

    A sentiment-analysis concept aimed at structuring market language and online discussions into clearer signals, comparison views, and presentation-ready output.

    Sentimizer is built to make market language easier to work with. It turns noisy text into clear signals and summaries that are easier to review, analyze, and discuss.

    Scoring
    Combines sentiment scores from models like VADER, TextBlob, AFINN, and FinBERT into a single read that is easier to compare across headlines, articles, and broader market discussion.
    Market Weighting
    Weights each result by recency, source quality, and market relevance so fresher and more credible financial discussion has more influence on the final signal.
    Value
    Gives traders and analysts a cleaner way to read sentiment, trace it back to sources, and use it alongside broader market context instead of relying on a raw model output alone.

    Systematic Quantitative Trading Workflow

    Polymarket Trading Bot

    A Rust trading system for Polymarket BTC Up / Down rounds built around directional momentum and market structure.

    The bot watches fast BTC moves, estimates which side still has edge before expiry, and only enters when price, spread, order book pressure, and time remaining support the trade. It is a live execution system shaped by probabilistic modeling, signal design, and strict risk filters rather than simple automation.

    Strategy
    Follows directional setups only when BTC momentum, price location, and time remaining still support the preferred direction.
    Signals
    Uses reachability math and a short horizon predictive layer to judge whether a move has edge in the time it takes to execute an order.
    Risk Management
    Blocks chase entries, checks spreads and book pressure, and scales size down when volatility rises or the setup weakens.
    Polymarket Trading Bot preview

    Fun Projects

    Some of the more fun ones to work on from my Bachelor's program.

    Brainfriend

    Systems programming

    Brainfriend

    C++ Brainf**k interpreter with interactive execution, file input support, and a REPL-style workflow for testing.

    View demoDownload source
    Interactive Regression Model

    Predictive modeling

    Interactive Regression Model

    Interactive tool for building linear, random forest, decision tree, and gradient boosting regression models with custom parameters and data visualization.

    Watch demoDownload project
    Bounce

    Interactive software

    Bounce

    libGDX game prototype used to explore rendering, interaction loops, and feedback systems with levels progressing in difficulty.

    Open project

    Work history and Academic background

    Experience

    2026 – Present

    Quantitative Researcher / Summer Associate

    Kissell Research Group | New York, NY

    Rebuilt the AlgoSports23 analytics platform as a Summer Associate, then expanded into equity market research, transaction cost analysis, and developing pre-trade applications and Excel execution optimizers as a Quantitative Researcher.

    2024 - 2025

    Quality Assurance Analyst

    PLUS QA | Portland, OR

    Validated web, mobile, and desktop applications with a focus on debugging, accessibility, analytics event tracing, and ensuring stable release quality for client-facing software.

    2023 - 2024

    Software Engineer

    Silvertrek Systems | Battle Ground, WA

    Built client-facing software as part of a five-person team, helping develop a web platform in Next.js, React, GraphQL, Supabase, and Tailwind CSS with reusable components, cleaner navigation, and a stronger user experience.

    Education

    2025 - Present

    Master of Science in Finance

    Fordham University | New York, NY

    Graduate work centered on markets, portfolio analysis, financial modeling, and fintech applications. Outside class, I stayed involved in Fordham’s AI and blockchain communities through leadership roles and competitions.

    2020 - 2024

    Bachelor of Science in Computer Science

    Washington State University Vancouver | Vancouver, WA

    Coursework emphasized systems programming, machine learning, databases, algorithms, language theory, and advanced math. That foundation was paired with applied software projects built with local companies.

    2016 - 2019

    Associate of Arts

    Clark College | Vancouver, WA

    Early college coursework through the 'Running Start' program that laid the foundation for later work in computer science, quantitative study, and graduate finance.

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