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ashutosh-engineer/README.md

Hey there! I'm Ashutosh Singh πŸ‘‹

Software Engineer | Backend Developement & DSA Focused

Typing SVG


🧠 About Me

I'm an aspiring Software Engineer with a strong foundation in Data Structures & Algorithms, backend development, and system-level problem solving. I enjoy building clean, efficient backend systems, working with databases, and contributing to open-source projects while continuously strengthening my CS fundamentals.

🏒 Intern @ NMS Software & Innovations India Pvt. Ltd.


⚑ Tech Stack

Languages

Backend & Frameworks

Databases

ML / DL

Cloud & DevOps


πŸ’» Languages & Primary Usage

Language Primary Use
Data Structures & Algorithms, Competitive Programming
Backend Development (Flask), Machine Learning, Deep Learning
Database Design, Queries, Data Modeling

🧠 Core Skills

Domain Skills
πŸ—οΈ Backend Flask Β· REST APIs Β· SQL Β· Database Design
πŸ—„οΈ Databases SQL Server
πŸ€– ML / DL Machine Learning
☁️ Cloud & DevOps AWS · Docker
πŸ† CP & DSA Data Structures & Algorithms Β· Competitive Programming


πŸš€ Projects

πŸ”Ή Collaborative Task Management Platform

  • Designed scalable system architecture using HLD and LLD principles
  • Implemented JWT-based authentication with role-based access control (RBAC)
  • Integrated two-factor authentication (2FA) for enhanced security
  • Built real-time task updates using Socket.IO for instant synchronization
  • Used Redis Pub/Sub for efficient real-time communication
  • Developed REST APIs using Flask and PostgreSQL
  • Implemented asynchronous processing using Celery and Redis
  • Handled background jobs such as notifications and heavy tasks
  • Applied security measures including input validation and rate limiting
  • Containerized application using Docker and set up CI/CD with GitHub Actions

πŸ”Ή Intelligent IT Operations Assistant (RAG-based)

  • Built an AI-powered system using retrieval-augmented generation (RAG)
  • Enabled natural language querying for incident data analysis
  • Implemented semantic search using vector embeddings with ChromaDB
  • Developed root cause analysis for identifying incident patterns
  • Integrated anomaly detection for detecting unusual trends
  • Designed backend using FastAPI and interface using Streamlit
  • Integrated MLflow for experiment tracking and model management
  • Containerized application using Docker for scalable deployment

🌍 Open Source Contributions

🟒 Program GirlScript Summer of Code (GSSoC) Contributor
πŸ”€ PRs Merged 26+ across multiple repositories
πŸ”§ Focus Areas Backend features, optimizations, bug fixes
πŸ“Œ Visibility All contributions publicly visible on GitHub

πŸ”— View All Pull Requests β†’


πŸ† Achievements

Achievement Result
Vadodara Hackathon 6.0 πŸ₯‡ Winner β€” View Post
PU Code Hackathon 2.0 πŸ₯‡ Winner β€” View Post
Vadodara Hackathon 5.0 πŸ… Finalist
PU-CODE Hackathon 3.0 πŸ…Winner β€” View Post
Tech Expo πŸ… Finalist

πŸ”— Competitive Programming Profiles


πŸ“¬ Let's Connect


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