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Varun487/README.md

Hi there πŸ‘‹

I'm Varun Seshu, a Front Office Product Support professional working on Electronic & Algorithmic Trading at Liquidnet (TP ICAP Group), where I support institutional equity execution and represent the Americas region on Liquidnet's global AI workstream β€” contributing to Maverick, an AI agent that reads logs, incidents, and JIRA tickets to help Product Support teams resolve issues.

Previously an Execution Services Analyst at BestEx Research, where I certified FIX connectivity for brokers and venues and automated client onboarding workflows with Python. I hold a Master's in Financial Engineering (Algorithmic Trading Strategies) from Stevens Institute of Technology and a B.Tech in Computer Science from PES University.

My work sits at the intersection of trading systems, execution algorithms, and quantitative problem-solving.


πŸ” What I Build & Research

βš™οΈ Trading Systems & Automation Internal tooling for front-office production workflows at Liquidnet β€” a deployment tool for Inforeach OMS GUIs and a pre-release force-logout utility, both built to streamline releases and cut manual steps. Earlier automation work includes FIX certification and UAT environment automation at BestEx Research.

πŸ“Š Quantitative Research & Trading Strategies Built an AI algorithmic trading system (150 LSTM models, 2,000 backtests) and published an IEEE research paper on the results. Other work includes an American options pricing engine in C++/QuantLib and factor-based long/short portfolio allocation models.

πŸ€– AI Agents for Production Support Contributor to Maverick, an internal AI agent at Liquidnet that reads logs, incidents, and JIRA tickets to help Product Support teams resolve issues β€” fixing bugs and improving response quality. Americas representative on the firm's global AI workstream.

πŸ’» Engineering & Data Work Primarily Python and C++, with experience in SQL, FIX protocol, Vue.js, Django, AI agents/LLM tooling, and production trading systems.


πŸ“« Connect:

Always happy to connect on electronic trading, algo execution, or trading technology.

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  1. AIAlgoTrading AIAlgoTrading Public

    A platform for creating, back-testing and paper trading new automated strategies on with the help of AI models.

    Jupyter Notebook 3 1

  2. PortfolioAllocationModels PortfolioAllocationModels Public

    Jupyter Notebook

  3. OptionsPricingEngine OptionsPricingEngine Public

    C++

  4. BinaryOptions_DeepLearning BinaryOptions_DeepLearning Public

    Topics in deep learning project 6th semester

    Jupyter Notebook 4 3

  5. DataAnalytics_PairTradingModels DataAnalytics_PairTradingModels Public

    Jupyter Notebook 1 4

  6. MiniJavaScriptCompiler MiniJavaScriptCompiler Public

    Implementing a mini compiler that takes as input a JavaScript program (with focus on the programming construct for loop statements) and produces an optimized intermediate code as an output.

    Yacc 1 1