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Achievement: Pair Extraordinairex2Achievement: YOLOAchievement: Pull SharkAchievement: Quickdraw

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MPK2004/readme.md

Hi 👋, I'm Mahesh P K

Backend Engineer | Data Engineering Enthusiast | Linux-Focused Developer

🚀 About Me

  • 🎓 Final Year B.E (Artificial Intelligence & Machine Learning)
  • 💻 Strong focus on Backend Systems & Data Engineering
  • 🗄️ Passionate about SQL, data modeling, and structured data processing
  • 🐧 Very interested in Linux systems and server-level problem solving
  • ⚙️ Exploring DevOps, containerization, and production deployments
  • 🎯 Goal: Build secure, scalable, and well-designed backend systems

🛠️ Technical Skills

🗄️ Data Engineering & Databases

  • SQL (Joins, Indexing, Aggregations, Query Optimization)
  • Data Modeling Concepts
  • ETL & Data Processing Pipelines
  • Pandas & Structured Data Transformation
  • Vector Indexing Pipelines
  • Working with PostgreSQL / Relational Databases

⚙️ Backend Engineering

  • FastAPI
  • REST API Design
  • Async Programming
  • Authentication & API Structuring
  • Clean Project Architecture
  • Error Handling & Logging

☁️ DevOps & Infrastructure

  • Docker (Containerization & Multi-stage builds)
  • Linux Server Management
  • Nginx Reverse Proxy Configuration
  • Deployment on VPS (DigitalOcean)
  • Basic CI/CD Concepts

👨‍💻 Languages

  • Python
  • JavaScript (ES6+)
  • SQL

📂 Selected Projects

📊 Data Ingestion & Processing Backend

  • Designed document ingestion pipeline
  • Implemented chunking & structured extraction logic
  • Built embedding/indexing workflow
  • Exposed scalable REST APIs
  • Dockerized and deployed on Linux server

📅 Backend for Smart Scheduling System

  • Designed API for conversational scheduling
  • Integrated external APIs (Google Calendar)
  • Focused on structured request validation & response handling
  • Deployed using Docker + Nginx

🐧 Linux & Systems Interest

I enjoy working close to the system layer:

  • Configuring Nginx
  • Debugging server issues
  • Managing processes & services
  • Understanding networking basics
  • Working in terminal-first environments

📈 Currently Improving

  • Advanced SQL & Query Performance Tuning
  • Backend System Design
  • Docker Compose & CI/CD Workflows
  • Secure API Development
  • Linux Internals & Networking Basics

⭐ I am interested in building reliable backend systems that process data efficiently and operate cleanly in production environments.

Pinned Loading

  1. Thought-Processor Thought-Processor Public

    A production-ready Retrieval-Augmented Generation (RAG) system built using FastAPI, Qdrant Cloud, and Groq LLM to enable accurate, context-aware document understanding.

    Python

  2. Smart-Scheduling Smart-Scheduling Public

    This is a website where people can schedule their events and track them easily.

    TypeScript

  3. MRFDigital-Suite MRFDigital-Suite Public

    A full-stack analytics and reporting platform designed for Material Recovery Facilities (MRFs) to streamline waste management operations.

    Python

  4. Mini-Data-Warehouse-Query-Optimization-System Mini-Data-Warehouse-Query-Optimization-System Public

    This project demonstrates the design and optimization of a small-scale data warehouse using PostgreSQL and Python.

    Python

  5. Scalable-Task-Processing-Backend Scalable-Task-Processing-Backend Public

    A production-style asynchronous task processing system built with FastAPI, PostgreSQL, Redis, RabbitMQ, and Docker.

    Python

  6. ilets-homepage ilets-homepage Public

    CSS