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Md Nooruzzaman

Detail-Oriented Front End Developer with more than years of experience working with various front-end technologies, aiming to deliver optimized and user-friendly software solutions.
  • Role

    Sr Software & RAG Engineer

  • Years of Experience

    4.75 years

Skillsets

  • AWS
  • Python
  • PyTorch
  • rag
  • Redis
  • S3
  • Scikit-learn
  • AI
  • AI
  • pandas
  • Azure
  • CDN
  • HuggingFace
  • LLMs
  • Machine Learning
  • PostgreSQL
  • Speech sdk
  • Git
  • NumPy
  • nginx
  • MongoDB
  • Microservices
  • Matplotlib
  • LangGraph
  • LangChain
  • Kafka
  • Jira
  • Flask
  • FastAPI
  • Docker
  • Cloudfront
  • CI/CD
  • Chroma db

Professional Summary

4.75Years
  • Feb, 2025 - Present1 yr 3 months

    Senior Software Engineer

    Mercedes-Benz Research and Development India
  • Jun, 2024 - Feb, 2025 8 months

    Software Engineer

    Mercedes-Benz Research and Development India
  • Apr, 2023 - Apr, 20241 yr

    Software Engineer L1

    Pace Wisdom Solutions
  • May, 2021 - Apr, 20231 yr 11 months

    Software Engineer

    Pace Wisdom Solutions

Applications & Tools Known

  • icon-tool

    Slack

  • icon-tool

    Figma

  • icon-tool

    Webpack

Work History

4.75Years

Senior Software Engineer

Mercedes-Benz Research and Development India
Feb, 2025 - Present1 yr 3 months

Software Engineer

Mercedes-Benz Research and Development India
Jun, 2024 - Feb, 2025 8 months

Software Engineer L1

Pace Wisdom Solutions
Apr, 2023 - Apr, 20241 yr

Software Engineer

Pace Wisdom Solutions
May, 2021 - Apr, 20231 yr 11 months
    Designed and implemented scalable, maintainable and high-performance software using Python, Flask, FastAPI, CloudFront, Microservices, Docker, CDN and AWS S3. Developed and deployed microservices using Docker with NginX as Reverse Proxy & load balancer. Used Git for Version Control and collaborated on software development best practices.

Achievements

  • Star Performer Award

Major Projects

2Projects

RAG-based AI agent

    Designed and implemented RAG-based AI agent to autonomously control multiple services, reducing manual workload by 30 minutes per user session.

Media Generation Optimization

    Optimized long-running media generation tasks with FastAPI BackgroundTask, reducing API latency by 23%.

Education

  • B.E in Computer Science & Engineering

    Mangalore Institute of Technology & Engineering (2021)