MACHINE LEARNING ENGINEER • AI SOLUTIONS BUILDER

Naresh Venkadesh

I am a passionate Machine Learning Engineer focused on building intelligent, real-world solutions using data, AI, and scalable systems. I specialize in developing end-to-end ML projects — from data preprocessing and model training to deployment and user-friendly applications.

I enjoy experimenting with new technologies, collaborating on innovative ideas, and continuously learning to stay at the forefront of AI advancements.

KPR Institute of Engineering and Technology

B.E. Computer Science and Engineering

Coimbatore, Tamil Nadu • 2023 – Present

View Projects Contact Me Resume

Career Journey

Experience

Research Jun – Aug 2025

Research Assistant

NIT, Trichy

Research internship on Insect Contamination Detection — problem formulation, literature review, data handling, and advanced detection approaches.

Computer Vision Deep Learning Research

Internship Jan – Feb 2025

Data Analyst

Fourth Dimension Advisory, Chennai

Developed interactive dashboards and converted complex datasets into meaningful visual insights using Power BI, Streamlit, and Python.

Power BI Excel Streamlit Python

Research Apr – May 2023

ML Research Intern

KNU, South Korea (Remote)

Focused on AI, ML, and Deep Learning fundamentals. Implemented key ML workflows including data preprocessing, feature engineering, model training, and evaluation.

Machine Learning Deep Learning Python

What I Work With

Technical Skills

Languages

Python

Primary Language

Java

Object-Oriented

AI / Machine Learning

Machine Learning

Supervised & Unsupervised

Data Science

Analysis & Visualization

Deep Learning

CNNs, RNNs, Transformers

Computer Vision

Detection & Segmentation

NLP

Text & Language Models

Tools & Frameworks

TensorFlow

PyTorch

Keras

Scikit-learn

NumPy

Pandas

OpenCV

Jupyter

Git

Docker

TensorFlow

PyTorch

Keras

Scikit-learn

NumPy

Pandas

OpenCV

Jupyter

Git

Docker

Built & Shipped

Projects

10/2025

MedConnect: Offline AI Chatbot for Rural Healthcare

● Built an offline, multilingual medical chatbot to assist rural healthcare workers with symptom guidance and first-aid support.
● Designed to function reliably in low-resource, internet-limited environments.

NLP Healthcare AI Offline Systems

GitHub

06/2025 – 08/2025

AI-Driven Insect Contamination Detection System

● Designed a system to identify insect contamination in agricultural products using structured analysis and advanced pattern recognition techniques.

Computer Vision Agriculture Deep Learning

GitHub

12/2024 – 02/2025

Disaster Relief Through Drone-Assisted Victim Identification

● Designed an AI-powered drone system for real-time victim detection and localization.
● Implemented computer vision and deep learning pipelines for human detection and coordinate extraction from aerial imagery.

Drones Object Detection Computer Vision

GitHub

10/2024 – 11/2024

Real-Time Fall Detection System for Elderly Patients

● Developed a real-time monocular camera–based fall detection system achieving 96% accuracy using pose estimation.

Pose Estimation Real-Time AI Healthcare

GitHub

09/2024 – 10/2024

PII Detection and Encryption for Secure Data Handling

● Built an AI-based system to detect sensitive personal information across text and image data with secure encryption.
● Ensured privacy compliance and scalability through optimized data processing.

NLP Data Privacy Encryption

GitHub

Credentials