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๐Ÿ’ญ
๐Ÿค– Building AI & GenAI projects
๐Ÿ’ญ
๐Ÿค– Building AI & GenAI projects

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ManjunathByadagi/README.md

Hi ๐Ÿ‘‹, I'm Manjunath K Byadagi

AI Engineer โ€ข Backend Developer โ€ข Cybersecurity Research Enthusiast

Building Production-Ready AI Systems, Retrieval-Augmented Generation (RAG) Applications, and Security Research Projects


๐Ÿš€ About Me

  • ๐ŸŽ“ Computer Science Engineering Student at PES University
  • ๐Ÿค– Passionate about AI Engineering, Backend Development, and Cybersecurity Research
  • ๐Ÿ”ญ Currently building a Production-Ready Regulatory Compliance RAG Assistant
  • ๐ŸŒฑ Learning Advanced RAG, Agentic AI, and System Design
  • ๐Ÿ† Solving Data Structures & Algorithms using Java
  • ๐ŸŒ Portfolio: https://manjunath-portfolio-green.vercel.app/
  • ๐Ÿ“ซ Email: manjunathbyadagi11@gmail.com

๐Ÿ’ผ Experience

Cybersecurity Research Intern

  • Conducting research on TCP/IP security, NAT behavior analysis, and firewall mechanisms
  • Working with Scapy, Docker, Linux Networking, and packet analysis
  • Studying network security vulnerabilities and attack detection techniques

Infosys Springboard Virtual Intern

  • Participating in industry-oriented software development and AI learning programs
  • Developing practical skills in Python, AI/ML, and software engineering
  • Collaborating on real-world project-based learning activities

๐ŸŒ Connect With Me


๐Ÿ’ป Languages & Tools


๐Ÿค– AI / ML Stack

  • Machine Learning
  • Natural Language Processing (NLP)
  • Retrieval-Augmented Generation (RAG)
  • Vector Search
  • Scikit-Learn
  • LangChain
  • LlamaIndex

๐Ÿ” Cybersecurity Interests

  • Network Security
  • TCP/IP Analysis
  • Firewall Security Testing
  • Scapy Automation
  • NAT Behavior Analysis
  • Security Research

๐Ÿ”ฅ Featured Projects

๐Ÿ“š Regulatory Compliance RAG Assistant

Production-oriented RAG system for compliance teams handling:

  • RBI Circulars
  • Basel III Guidance
  • SEBI Regulations

Tech Stack

Python โ€ข FastAPI โ€ข BM25 โ€ข Vector Search โ€ข Docker


๐Ÿ” Network Security Research Lab

Research-focused cybersecurity projects involving:

  • NAT Behavior Detection
  • TCP Sequence Number Analysis
  • Firewall Security Testing
  • Docker-Based Network Simulation

Tech Stack

Python โ€ข Scapy โ€ข Docker โ€ข Linux


๐Ÿ“Š Customer Segmentation using Machine Learning

Machine Learning project focused on telecom customer analytics.

Implemented

  • K-Means Clustering
  • PCA Visualization
  • Data Cleaning & Preprocessing
  • Customer Retention Insights

Tech Stack

Python โ€ข Pandas โ€ข NumPy โ€ข Scikit-Learn


๐Ÿ“Š GitHub Stats


๐Ÿ† GitHub Trophies


๐Ÿ† GitHub Streak


๐ŸŽฎ Contribution Graph

github contribution grid snake animation

๐Ÿ’ป Coding From Home


๐ŸŽฏ Current Focus

โœ” Production RAG Systems

โœ” Backend Engineering

โœ” FastAPI Development

โœ” DSA in Java

โœ” Cybersecurity Research

โœ” Open Source Contributions


๐ŸŒ Portfolio

๐Ÿš€ Explore my projects and experience:

๐Ÿ”— Portfolio Website: https://manjunath-portfolio-green.vercel.app/

๐Ÿ’ผ LinkedIn: https://www.linkedin.com/in/manjunath-k-byadagi/


๐Ÿ’ก Quote

Consistency compounds. Small improvements every day lead to extraordinary results.

โญ Thanks for visiting my profile. Feel free to explore my repositories and connect with me.

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