Hi, I'm Shubham Patel — a Software Engineer focused on building scalable software systems, distributed applications, and cloud-native solutions.

I enjoy designing and developing end-to-end systems that combine backend engineering, data pipelines, and intelligent features to solve real-world problems.

• 🧩 Software Systems Engineering
  Designing scalable applications with clean architecture, REST APIs, and modular backend systems. I focus on reliability, performance, and maintainability in production environments.

• ☁️ Distributed & Cloud Systems
  Building and deploying cloud-native applications using AWS, Docker, and distributed processing frameworks like Spark, with a focus on scalable system design and infrastructure.

• 🤖 Intelligent Software Systems (AI Integration)
  Integrating LLMs, RAG pipelines, and computer vision models into production software systems to build intelligent, data-driven applications.

• ⚙️ Backend Engineering
  Developing APIs and service-layer architectures using Python, FastAPI, and Flask, with emphasis on system design and production readiness.

I'm motivated by building systems that are not just functional, but scalable, reliable, and designed for real-world usage at production scale.

I enjoy working at the intersection of:

• system design
• distributed computing
• backend architecture
• applied AI in software systems

• Customer Churn Prediction Platform
  Cloud-native system for real-time predictions using XGBoost, FastAPI, Docker, and AWS ECS Fargate.
  Live Demo | GitHub

• RAG Resume Assistant
  Retrieval-augmented document system using vector search and LLM orchestration for semantic querying.
  Live Demo | GitHub

• Semantic Recommendation Engine
  Embedding-based recommendation system built with vector search and scalable API design.
  Live Demo | GitHub

• Distributed Traffic Analytics System
  Large-scale data processing pipeline using Spark on GCP handling 94M+ records with system-level observability.

• Real-Time Computer Vision System
  Optimized inference pipeline for robotic perception using YOLO and OpenCV with low-latency design.

• Full-Stack AI Diagnosis System
  End-to-end system combining mobile app + backend APIs + ML inference for real-time plant disease detection.

• GitHub: https://github.com/shubhu1026
• LinkedIn: https://www.linkedin.com/in/shubham1026/

I'm always open to discussions around software engineering, system design, backend architecture, and building production-grade applications.

🚀 Building scalable systems. Learning continuously. Shipping real-world software.