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Achievement: Pull Sharkx2Achievement: Pair Extraordinaire

Achievements

Achievement: Pull Sharkx2Achievement: Pair Extraordinaire

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ellikamishra/README.md

Hi there 👋, I'm Ellika Mishra!

🚀 About Me

  • 🎓 Master of Computer Science @ Texas A&M University (May 2026)
  • 💻 Software Developer Intern at Amazon (Summer 2025) – worked on scalable backend systems with Go, Ruby, AWS, and DynamoDB
  • 🏦 Ex-Software Developer at FinIQ Consulting – built fullstack brokerage & trading platforms with 50k+ users using C++, C# (.NET Core), Angular, and TypeScript
  • 🌱 Passionate about backend engineering, distributed systems, and intelligent ML-powered applications
  • 🎯 Career goal: Build robust backend-first fullstack systems with applied machine learning for real-world impact

🛠️ Skills & Tools

Backend Development

C++ C# Go Java Spring Boot .NET Core Ruby on Rails

Fullstack

TypeScript React Angular Node.js

Machine Learning

Python PyTorch Scikit-learn Pandas

Databases & Cloud

MySQL MongoDB Elasticsearch AWS Docker

🌟 Featured Projects

  • 🛡️ Adversarial Defense in Collaborative Vehicular Perception → Robust uncertainty-aware system with PyTorch diffusion models and consensus mechanisms [Code]
  • 🍽️ Meal Nutrition Analysis (Multi-Modal DL) → CNN + BiLSTM + Attention achieving 30% better accuracy in calorie estimation
  • 📊 Trading & Brokerage Platform (FinIQ) → Multi-threaded C++/.NET backend + Angular frontend for 50k+ financial users
  • 🌐 Amazon OneLife (Internship) → Backend + data integration in Go & Ruby, scalable AWS ECS deployment, DynamoDB storage

📊 GitHub Stats

🔥 Most Used Languages

🌐 Connect with Me

LinkedIn Portfolio Email Visitor Count

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  1. zulip-terminal zulip-terminal Public

    Forked from zulip/zulip-terminal

    Official Zulip terminal client.

    Python

  2. ellikamishra.github.io ellikamishra.github.io Public

    Personal Website

    CSS

  3. finance_backtester finance_backtester Public

    Finance back-tester: project for fetching financial data.

    Python

  4. CVPerception CVPerception Public

    Adversarial Defense in Collaborative Vehicular Perception via Uncertainty Awareness

    Jupyter Notebook 1