Naveen Kumar N AI/ML Engineer BMSCE, Bengaluru from naveen import passion focus = [ "Machine Learning", "Deep Learning", "LLMs", "Agentic AI", "Computer Vision", "Reinforcement Learning" ] print("Always building.") ▌
@BMSCE @IISc @GitHub

My Story

Hello!

I'm Naveen Kumar N, an AI Engineer in the making pursuing a Bachelor's degree in Artificial Intelligence and Machine Learning at BMS College of Engineering, Bengaluru.

I'm passionate about building intelligent software that combines Machine Learning, Deep Learning, Large Language Models (LLMs), Agentic AI, Reinforcement Learning, and Computer Vision to solve real-world problems.

I enjoy designing complete AI systems—from model development and data pipelines to retrieval, orchestration, deployment, and user experience. To me, great AI products aren't just accurate—they're reliable, scalable, secure, and practical.

Beyond coursework, I spend my time exploring research papers, experimenting with emerging AI frameworks, and building projects that strengthen my understanding of production-ready AI engineering. Every project is an opportunity to learn, improve, and create technology with meaningful impact.

Naveen Kumar N

Education

Academic foundation in Artificial Intelligence, Machine Learning, and Computer Science.

Bachelor of Engineering

Artificial Intelligence & Machine Learning · BMS College of Engineering, Bengaluru

CGPA 8.98 / 10.0 · Expected Sep 2027

Diploma in Computer Science Engineering

I.R. Polytechnic, Bangalore

CGPA 9.68 / 10.0 · Aug 2021 – Aug 2024

Experience

Industry exposure through AI and Cybersecurity internships.

Undergoing a 6-week virtual internship covering Agentic AI, Intelligent Automation, and workflow orchestration, and building a real-world AI project aligned with UN Sustainable Development Goals under IBM SkillsBuild mentorship.

  • Configured Linux-based virtual environments and implemented FTP/SSH services to understand client–server communication and authentication workflows.
  • Applied Python scripting for file handling and logging to analyze security behaviors and automate basic tasks.
  • Solved Capture-the-Flag (CTF) challenges involving networking and cryptography to strengthen analytical thinking.
  • Explored honeypot and attack-simulation labs to identify system vulnerabilities and interpret logs.

Programs & Recognitions

Competitive programs and elite learning opportunities.

Amazon ML Summer School 2026

Selected Participant (Ongoing)

2026

Selected into Amazon's flagship ML summer program covering advanced Deep Learning, LLMs, and computer vision domains from Amazon's leading ML researchers.

Certifications

Professional certifications and continuous learning.

Skills

Technologies and frameworks I use to build production-ready AI systems.

Machine Learning & Vision

  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Reinforcement Learning

LLM & Agentic AI

  • LLMs
  • Agentic AI
  • RAG
  • LangGraph
  • Prompt Engineering

Backend & Web

  • Python
  • SQL
  • Java (Basics)
  • FastAPI
  • Flask
  • React

Frameworks & Toolkits

  • PyTorch
  • TensorFlow
  • Scikit-learn

Data & Analysis

  • Pandas
  • NumPy
  • Exploratory Data Analysis

Vector & NoSQL DBs

  • Qdrant
  • ChromaDB
  • MongoDB

Tools & Infrastructure

  • Git
  • Docker
  • Linux

Currently Exploring

Emerging AI paradigms and engineering topics I'm currently diving into.

Multi-Agent Systems AI Infrastructure Model Deployment MLOps Context Engineering AI Safety & Guardrails LLM Evaluation AI Automation

Contact

Let's connect and build something together.