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Navaneeth y

@navaneethy

Machine Learning Engineer building food recognition and nutrition monitoring with YOLOv8, FastAPI, and Streamlit for the PM POSHAN scheme.

India

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What I'm looking for

I'm seeking a Machine Learning Engineer, AI/ML Engineer, or Software Engineer role to build production-ready, data-driven applications.

For my M.Tech project, I built NutriVision AI, a food recognition and nutrition analysis system for mid-day meal monitoring under the PM POSHAN scheme. It uses YOLOv8 and deep learning for real-time food detection, nutrient estimation, and HSV-based freshness and quality assessment.

I developed a FastAPI backend and Streamlit dashboard for monitoring, reporting, and analytics, with MySQL and SQLite for meal and audit data. I also authored a research paper and technical report on the system, model comparison, implementation, and field pilot results.

For my UPI fraud detection project, I implemented Random Forest, XGBoost, and LSTM models, applying feature engineering and anomaly detection to imbalanced transaction data. I built a real-time detection pipeline with instant alerts through a Flask API, and published an IEEE research paper on the approach and model performance.

My other projects include a real-time face detection system using OpenCV and Haar Cascade classifiers, and a full-stack online birth certificate platform. I also conducted a cybersecurity risk assessment, applying network security controls and GDPR and HIPAA frameworks.

Experience

Work history, roles, and key accomplishments

Computer Vision Project

Face Detection System

Jun 2024 - Jul 2024 (1 month)

Built a real-time face detection system using OpenCV with Haar Cascade classifiers.

Python OpenCV

Graphics Programming Project

Flowing Fountain 3D Model

Jun 2024 - Jul 2024 (1 month)

Created an interactive 3D fountain simulation with custom camera views, realistic water flow effects, and color customization.

C++OpenGL GLUT Visual Studio

Full-Stack Web Development Project

Online Birth Certificate System

Nov 2023 - Apr 2024 (5 months)

Developed a digital birth certificate platform enabling online registration and retrieval of records. Designed and optimized SQL queries and backend logic for secure data handling.

HTML CSS JavaScript PHP SQL

Machine Learning Project

IEEE

Oct 2023 - Jan 2024 (3 months)

Designed and implemented a fraud detection system for UPI transactions using Random Forest, XGBoost, and LSTM models. Built a real-time detection pipeline with an instant alerting mechanism exposed through a Flask API.

Python Random Forest XGBoost LSTM Flask API Feature Engineering Anomaly Detection

Network Security Project

Cybersecurity Risk Assessment

Oct 2023 - Nov 2023 (1 month)

Conducted a structured risk analysis and developed mitigation strategies for identified security threats. Implemented network security controls, including firewall rules and intrusion detection systems.

AI ML Network Security GDPR HIPAA Ethical Hacking

M.Tech Project

The National Institute of Engineering

Built an AI-based food recognition and nutrition analysis system for mid-day meal monitoring under the PM POSHAN scheme, using YOLOv8 and deep learning models. Implemented real-time food detection, nutrient estimation, and HSV-based freshness assessment, with a FastAPI backend and Streamlit dashboard.