visitor@portfolio:~/portfolio/overview

$ whoami

jnduati

$ pwd

/home/visitor/portfolio

visitor@portfolio:~$

$ tree portfolio/

$ uname -a

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visitor@portfolio:~/portfolio/overview

ID: JJ-001

AUTH: ✓

J Nduati

Building ML-powered solutions for healthcare and agriculture. Specializing in computer vision, NLP, and production deployment of AI systems.

ABOUT ME

I'm J Nduati, holding a BSc in Computer Science, driven by a passion for creating solutions that address real-world challenges. My technology journey began in my first year of university as a web developer, but discovering Python and machine learning in my second year fundamentally transformed my approach to software development.

My ML journey started with earning the IBM AI Analyst - Mastery Award certification. Since then, I've pursued projects that tackle meaningful problems: from developing a system to detect tropical diseases in children under five (which highlighted critical data accessibility challenges), to venturing into the Aberdare forest during the COVID era to collect samples from local communities. This fieldwork resulted in a ~1,400-image dataset for my first computer vision project—identifying tropical medicinal plants.

Currently, I'm exploring how farm data can empower small-scale farmers to optimize their practices and improve yields, with plans to develop a data hub connecting them to markets. I'm also investigating how ML can help children with autism better express themselves.

I'm eager to collaborate on projects that deepen my expertise in machine learning, NLP, and computer vision. My technical foundation spans software development, algorithms, computer networking, on-premises infrastructure, and big data.

Areas of Interest & Expertise

Deep Learning

Strong conceptual understanding with academic foundation. Actively seeking hands-on opportunities and roles to expand practical experience in production deep learning systems.

Computer Vision

Hands-on experience from capstone project in plant identification. Eager to take on more computer vision opportunities and challenges in diverse application domains.

NLP/LLMs

Conceptual understanding with focus on African languages research. No real-world applications yet, but solid theoretical foundation and interest in language processing challenges.

MLOps

Explored MLOps concepts using AWS services. Understanding that ML deployment should be as streamlined as traditional software engineering - applying DevOps principles to machine learning workflows.

Full Stack

3+ years building web applications with Python/FastAPI backends, React frontends, and PostgreSQL databases. Experience with mobile development using React Native and containerized deployments.

PROJECT ARCHIVE

Innovative solutions transforming healthcare, agriculture, and mobile technology

$ ls ~/projects/

Portfolio of completed and ongoing projects

AI/ML Projects/

Computer vision, NLP & machine learning systems

Plant Identification Mobile App

End-to-end computer vision application for real-time plant species identification. Collected 1200+ images of tropical medicinal plants, implemented data augmentation, compared CNN architectures with transfer learning, and deployed as TFLite model on mobile.

PythonTensorFlowOpenCVTensorFlow LiteFlutterCNNTransfer Learning

Agricultural Precision Farming MVP

Startup Founder - Led development of IoT and ML platform for agricultural optimization. Achieved 60% reduced data collection time, built multi-class models for pest/disease detection, deployed via containerized microservices. Coordinated team of 4 researchers.

PythonIoTMachine LearningDockerMicroservicesCross-validation

Bird Species Audio Classification

Audio classification system identifying bird species from chirp patterns. Implements spectral analysis, MFCC feature extraction, and deep learning models (CNN/RNN) with data augmentation for acoustic variations.

PythonLibrosaTensorFlowAudio ProcessingCNNRNNMFCC

Full Stack/

Web & mobile applications

StormWatch - Linux System Monitor

Real-time system monitoring application in C that detects and prevents Linux system freezes. Monitors CPU, memory, network, disk I/O, and battery with pattern recognition algorithms calculating freeze prediction scores (0-100). Automatically intervenes by disabling problematic interfaces, terminating processes, or restarting services to prevent hard reboots. Features responsive terminal UI with real-time graphs, color-coded alerts, PolicyKit privilege escalation, systemd integration, and production-ready logging.

CLinux System CallsPolicyKitsystemdncursesBash/proc & /sys

Mobile-First Inventory Management

Comprehensive inventory system with real-time tracking, automated stock alerts, barcode scanning, supplier management, and analytics dashboard. Built with microservices architecture prioritizing mobile UX.

DockerPythonFastAPIReact NativePostgreSQLLinux

Research/

Experimental & academic projects

BabyPal Healthcare Monitor

IoT and ML application for real-time vital signs monitoring in children, predicting susceptibility to tropical diseases. Combined sensor data with predictive analytics for early warning pediatric health systems.

Machine LearningIoTReal-time ProcessingHealthcare AnalyticsPredictive Modeling

Interested in discussing project collaborations or partnerships?

J Nduati

ABOUT ME

Areas of Interest & Expertise

Deep Learning

Computer Vision

NLP/LLMs

MLOps

Full Stack

TECHNICAL STACK

$ ls ~/skills/

Backend/

Frontend/

DevOps/

Automation/

DEVELOPMENT SOLUTIONS

$ cat ~/services/offerings.txt

Development/

Cloud & Infrastructure/

Data Solutions/

Consulting & Support/

RESEARCH INTERESTS

$ cat ~/research/interests.md

Healthcare AI/

Agricultural AI/

PROJECT ARCHIVE

$ ls ~/projects/

AI/ML Projects/

Full Stack/

Research/

KNOWLEDGE BASE

$ cat ~/education/credentials.txt

Degree/

Certifications/

Courses/

$ cat ~/contact/info.txt