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Sri-Ln/README.md

Srikanth Lakshminarayan

⚙️ My Work

In my previous experience at Morgan Stanley's asset management team, I built the normalization pipeline to process secondary market offers through FIX for counterparties using Kafka, DynamoDB, and an S3 export/archive job. This was for a pre order execution service that turns raw broker offers (RFQs and IOIs) into queryable time partitioned data for the portfolio managers on the muni bond buy side. It ran at ~2M offers and 60K CUSIPs a day and executed pipelines post trading hours.


📜 Certifications

Certification Issuer
Bloomberg Market Concepts (BMC) Bloomberg
Fixed Income Fundamentals Corporate Finance Institute (CFI)

🛠️ Tech Stack

My Skills


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  1. algo-trading-bot algo-trading-bot Public

    ETF rotation strategy in Python with realistic backtester with next-open fills and trading costs, out-of-sample evaluation, and paper trading via Alpaca

    TypeScript

  2. glitch glitch Public

    Glitch: a kit of Claude Code mods with themes, a session HUD, budget guard and cache keeper.

    TypeScript

  3. Multithreading-in-CSharp Multithreading-in-CSharp Public

    A simple app to demonstrate dynamic multithreading for movie filteration based on age, gender, genre and rating from a dataset having one hundred thousand records of movie and it's ratings

    C# 2

  4. React-PWA-Redux-boilerplate React-PWA-Redux-boilerplate Public

    A boilerplate for Progresive web app built using create-react-app and configured with redux, eslint, precommits and other best practices

    JavaScript 13 5

  5. PlanAPI PlanAPI Public

    C# 1

  6. Uber-Database-Model Uber-Database-Model Public

    1