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Amar07Singh/README.md
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║  > Software Development Engineer | ML Infrastructure | Backend Engineer              ║
║  > Building Scalable System Design for Real-World Applications                       ║
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LinkedIn Email LeetCode Codeforces

🚀 About Me

While I love working with cutting-edge AI, my real passion is the infrastructure that makes it work at scale. I design distributed systems and backend architectures that make advanced machine learning practical at scale.

What I'm really good at:

- Backend & distributed systems:           FastAPI async backends, Elasticsearch custom scoring, Redis caching
- Building from scratch:                   Launched 3 production systems from concept to deployment in fast-paced startup environments
- Cross-functional collaboration:          Worked with PMs, designers, and researchers to ship features used by thousands
- Performance optimization:                Sub-300ms retrieval, <3s notification latency, real-time processing at scale

My journey so far:

🔬 Dtyle.AI (R&D Intern)
I didn't just train models—I engineered real-time edge AI pipelines that fused vision, audio, and sensor data for maritime safety.

  • 60% boost in maritime anomaly detection accuracy
  • 🚨 40% reduction in port incident response time
  • 🎯 The challenge? Making it work on edge devices with <300ms latency requirements

📊 SmartScore (AI Intern)
Built preprocessing pipelines that handled 4,500+ handwritten samples, but the real win? Designing the infrastructure that let LLMs scale across education boards.

  • 🧹 45% noise reduction for cleaner LLM inputs
  • 🤖 Automated answer key generation with few-shot learning
  • 📈 Scaled systems across multiple education boards without breaking

🎓 Why SDE Roles?

Because the most exciting problems in tech today—whether it's Copilot, M365, or Google Cloud—aren't just about algorithms. They're about building reliable, scalable infrastructure that serves hundreds of millions of users. That's the work I want to do.

🔭What I'm Currently Working On

🏥 MediLockr

Patient-Owned Healthcare Data Exchange

Tech Stack: React • TypeScript • FastAPI • Elasticsearch • Firebase

🔐 Zero-knowledge E2EE with client-side encryption
Sub-300ms hybrid search (BM25 + vectors)
🚀 Async FastAPI backend for multi-format processing
🔒 PHI masking with LLM entity extraction

Live Demo →

🌐 Nayi Disha

Disaster Zone Supply Chain Intelligence

Tech Stack: Express • PostgreSQL • ML Forecasting • Redis

📊 Real-time risk engine with <3s latency
🧠 72-hour forecasts (80-86% accuracy)
📉 40% reduction in routing uncertainty
🚨 24-72hr advance warnings for disaster zones

Live Demo →


🧪 Current Focus

🔹 Exploring distributed systems patterns and consensus algorithms
🔹 Building high-performance C++ applications for low-latency scenarios
🔹 Contributing to open-source infrastructure and backend projects
🔹 Competitive Programming: Maintaining 1500+ CF rating | 250+ LeetCode problems


🔨 Languages and Tools:

💻 Languages & Core

Python C++ Java TypeScript JavaScript SQL Bash

⚙️ Backend & Infrastructure

FastAPI Flask Express Node.js Docker Kubernetes Redis REST API

☁️ Cloud & Databases

AWS PostgreSQL Elasticsearch Firebase GitHub Actions

🤖 ML & AI Stack

PyTorch TensorFlow scikit-learn Hugging Face LangChain

🎨 Frontend & Tools

React Figma Git


🎯 Core Competencies

🏗️ Backend Engineering

  • Distributed Systems
  • RESTful & GraphQL APIs
  • Microservices Architecture
  • Async Processing
  • Event-Driven Systems

⚡ Performance & Scale

  • Sub-300ms Optimization
  • High-Throughput Pipelines
  • Caching Strategies (Redis)
  • Database Query Optimization
  • Real-Time Data Processing

☁️ Infrastructure & DevOps

  • Container Orchestration
  • CI/CD Pipelines
  • Cloud Architecture (AWS)
  • System Design
  • MLOps & Model Deployment

📊 Github Stats

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