Welcome to my space

Hi, I'm Navaneeth Krishna

AI Engineer DevOps Software Developer

A Computer Science graduate passionate about building end-to-end intelligent software systems, automated CI/CD pipelines, and high-accuracy machine learning solutions.

Navaneeth Krishna Professional Profile Photo
Introduction

About Me

Engineering Intelligent, Scalable & Automatable Solutions

I am a B.Tech Computer Science graduate (Class of 2026) dedicated to bridging the gap between sophisticated artificial intelligence algorithms and robust software deployment processes. My technical philosophy is centered around writing clean, modular, and highly performance-optimized code to solve tangible real-world problems.

With solid foundations in core computer science elements—specifically Data Structures, OOP, Database Management Systems, Operating Systems, and Networks—I thrive in multi-disciplinary engineering environments. I possess strong hands-on experience developing deep learning pipelines, constructing data analysis modules, and integrating intelligence into client-facing platforms like Android.

Beyond coding, my Red Hat Certified System Administrator training fuels my interest in automation, Linux systems programming, virtualization, and reliable cloud deployments.

8.56
B.Tech CGPA
97%
12th Grade Score
6+
Industry Certifications
3+
Production-Ready Projects

Current Focus Areas

  • Machine Learning & DL
  • CI/CD & DevOps Pipelines
  • Backend/API Architecture
  • Linux Systems Administration
Proficiencies

Technical Skills

Programming Languages

Python Java C SQL

AI & ML Frameworks

TensorFlow Keras Scikit-learn XGBoost Flask Streamlit

Data & Image Processing

Pandas NumPy OpenCV Data Visualization

Core CS Concepts

DSA OOP DBMS Operating Systems Computer Networks

Developer Tools

Git Linux Terminal VS Code Android Studio Google Colab

DevOps & Systems

Kubernetes Docker Jenkins Linux (RHCSA) CI/CD Pipelines TensorFlow Lite On-Device Inference
Professional Journey

Internship

June 2025 – July 2025

Machine Learning & AI Intern

ICT Academy of Kerala

  • Applied supervised and unsupervised learning algorithms to real-world structured datasets, strengthening fundamental understanding of production ML workflows.
  • Worked hands-on with TensorFlow, Scikit-learn, Pandas, NumPy, and data visualization tools to clean, analyze, and model predictive data.
  • Collaborated with a cross-functional team of peers on a predictive analytics mini-project, contributing clean Git-versioned code in a collaborative developer environment.
Portfolio Highlights

Projects

Nov 2024 – Mar 2025

DisasterVision

AI-Powered Disaster Damage Assessment pipeline extracting embeddings from satellite imagery to detect and classify affected structures. Includes custom Android application hosting the optimized edge model.

  • Achieved 98% classification accuracy on satellite imagery datasets.
  • Engineered custom preprocessing, augmentation, and class balancing methods.
  • Optimized neural networks using TensorFlow Lite for swift on-device field inference.
Python TensorFlow OpenCV Android Studio TF Lite
June 2025 – July 2025

Multi-Label Disease Prediction

End-to-end scalable ML pipeline constructed over a dataset of 319,000+ medical records, facilitating advanced feature engineering and multi-label prediction across complex health categories.

  • Structured automated pipeline covering encoding, scaling, and evaluation.
  • Benchmarked Random Forest, Neural Networks, and XGBoost.
  • Delivered the best performing model with XGBoost reaching 97.5% accuracy.
Python Scikit-learn XGBoost Keras Pandas
July 2025 – Mar 2026

Intrusion Detection System

A hybrid ML/DL security system designed to detect and isolate malicious network traffic and intrusions from high-dimensional network flow data.

  • Achieved a stellar 98.8% detection accuracy rating on target traffic.
  • Engineered custom false-positive reduction algorithms to increase precision.
  • Implemented solid software patterns, maintaining modularity and version control via Git.
Python TensorFlow Scikit-learn Git Security
Validations

Certifications

RHCSA

Red Hat Certified System Administrator

Database Programming with SQL

Oracle Academy

Artificial Intelligence Foundation

Infosys Springboard

Java Programming Training

IIT Bombay Spoken Tutorial

Python Programming Training

IIT Bombay Spoken Tutorial

Python Foundation

Infosys Springboard

Academic Background

Education

2022 – 2026

B.Tech in Computer Science & Engineering

Vidya Academy of Science and Technology

CGPA: 8.56 Thrissur, Kerala. Studied advanced software engineering, AI techniques, algorithms, systems infrastructure, and databases.

2020 – 2022

12th Standard (HSE)

St. George's Higher Secondary School

Score: 97% Thrissur, Kerala. Specialization in Science and Mathematics.

Let's Connect

Contact Me

Get in Touch

I am interested in associate engineering roles, internships, or collaborating on innovative open-source AI and DevOps projects. Drop me a line, and let's start a conversation!

Phone Number
+91 80866 47050
WhatsApp
+91 94975 17050
Location
Thrissur, Kerala, India

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