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Shikha-code36/README.md

Hi 👋 I'm Shikha Pandey

Software Engineer II @ American Express
Building AI Infrastructure • Distributed Systems • Performance Engineering

Portfolio • LinkedIn • Medium

About

I'm a software engineer passionate about understanding how intelligent systems behave under load, fail, recover, and scale.

I enjoy building open-source infrastructure, designing reproducible experiments, and publishing engineering insights around AI systems, distributed systems, caching, and performance engineering.

I believe the best way to learn is by building ambitious projects that solve real engineering problems.

🚀 Current Work

FaultLab (Currently Building)

A laboratory for learning distributed systems through reproducible failure experiments.

Instead of simulations, FaultLab uses real services, controlled fault injection, and observability to explain behaviors such as:

  • Retry storms
  • Cascading failures
  • Database latency
  • Connection pool starvation
  • Timeout propagation

Tech

Python • PostgreSQL • Docker • Prometheus • Grafana • OpenTelemetry

🧠 SmartEvict

A learned semantic cache eviction policy for LLM applications.

SmartEvict investigates lightweight learned eviction policies for semantic caches using reproducible experiments and real conversational workloads.

Resources

🔬 Interests

  • AI Infrastructure
  • Distributed Systems
  • Semantic Caching
  • Databases
  • Performance Engineering
  • Observability
  • LLM Systems
  • Developer Tools

✍️ Writing

I enjoy documenting what I build, measure, and learn.

Topics include:

  • Distributed systems
  • AI infrastructure
  • Semantic caching
  • Performance engineering
  • Software engineering

📚 Medium

https://pandeyshikha075.medium.com

🛠️ Technologies

Languages

Python • Go • C++ • JavaScript

Backend

FastAPI • Flask • PostgreSQL • Redis • Kafka • RabbitMQ

Infrastructure

Docker • AWS • GCP • Prometheus • Grafana

AI

OpenAI • Claude • LangChain • Hugging Face • pgvector

🌱 Currently Exploring

  • Distributed Systems Internals
  • AI Serving Infrastructure
  • Reliability Engineering
  • Observability
  • OpenTelemetry
  • PostgreSQL

📫 Connect

🌐 Portfolio
https://pandeyshikha.me/

💼 LinkedIn
https://www.linkedin.com/in/36-shikha-pandey/

📝 Medium
https://pandeyshikha075.medium.com

📧 Email
shikha.py36@gmail.com

Build systems. Measure them. Understand them. Share what you learn.

Pinned Loading

  1. Data-Structures-and-Algorithm-Patterns Data-Structures-and-Algorithm-Patterns Public

    Data Structures and Algorithms Patterns that I followed ,implemented in Python

    Python 115 20

  2. Object-Oriented-Programming-OOPs-Python Object-Oriented-Programming-OOPs-Python Public

    Object-oriented programming (OOP) is a method of structuring a program by bundling related properties and behaviors into individual objects. In this tutorial, you’ll learn about object-oriented pro…

    Python 74 29

  3. early-exit-cnn early-exit-cnn Public

    A deep learning framework that implements Early Exit strategies in Convolutional Neural Networks (CNNs) using Deep Q-Learning (DQN). This project enhances computational efficiency by dynamically de…

    Jupyter Notebook 8

  4. Competitive-Python Competitive-Python Public

    Python Algorithms Package used in competitive programming

    Python 17 4

  5. assembly-ARM-tutorial assembly-ARM-tutorial Public

    A Beginner’s Guide to Assembly ARM language

    Assembly 44 11

  6. ArbiSim-A-Real-Time-Arbitrage-Detection-System ArbiSim-A-Real-Time-Arbitrage-Detection-System Public

    High-performance real-time cryptocurrency arbitrage detection system with C++ engine, WebSocket bridge, and live trading dashboard

    C++ 11 9