Annamalai Ajay .D

Hi — I'm Annamalai Ajay .D

I craft embedded systems that are human-first: wearables that comfort, vehicles that communicate, and apps that reduce friction. Current focus — MEDTREX: a wearable that senses, soothes, and learns.

Unique: I combine electronics with UX — prototyping PCBs by day and polishing interaction flows by night.

Projects

MEDTREX — Wearable health system

Wearable wrist + chest bands that monitor vitals (ECG, SpO2, temp) and deliver passive cooling using PCM. Prototype using ESP32 and sensors.

Tech: ESP32, sensors, PCB prototype.

TREATX — Chest + Wrist medical prototype

Two-part wearable to monitor stress, posture, and deliver immediate mild treatments. Focus on ergonomics and sensor accuracy.

Tech: ESP32, Sensors, Embedded Systems.

Way-Sync — Route & Eco assistant

Flutter app for route planning with pollution/road-condition analysis and AI-based recommendations for eco-friendly routes.

Tech: Flutter, Google Maps API, AI modules.

IoT-Based Real-Time Health Monitoring System

Developed machine learning models using Python and Scikit-learn for predictive analytics on real-time sensor data. Performed data collection, preprocessing, and normalization. Integrated models into a production-like pipeline and visualized outputs using a React dashboard.

Duration: Aug 2024 – Nov 2024 | Tech: Python, Scikit-learn, React, ML Pipeline

Edge-AI Visual Inspection System

Implemented CNN-based deep learning models using TensorFlow to detect defects in electronic components. Evaluated and optimized model performance and visualized results using Matplotlib.

Duration: May 2024 – Jul 2024 | Tech: TensorFlow, CNN, Matplotlib, Computer Vision

Smart Inventory Management System

Built backend systems using MySQL and MongoDB. Implemented CRUD operations, unit testing, and version control using Git and GitHub following Agile practices.

Duration: Jan 2024 – Apr 2024 | Tech: MySQL, MongoDB, Git, Agile

TaxPal — Tax automation app

Frontend UI built with modern design patterns to simplify tax filing for students and young professionals.

Tech: HTML, CSS, JavaScript, Modern UI/UX

Technical Skills

Machine Learning: TensorFlow, Scikit-learn, PyTorch, CNNs, RNNs, LSTMs.

Data Science: Data Preprocessing, EDA, Pandas, NumPy, Matplotlib.

Software Engineering: Java, Python, C++, JavaScript, React, Node.js.

Backend & Databases: Django, Flask, MySQL, PostgreSQL, MongoDB.

Tools & Methods: Git, GitHub, Agile, Scrum, AWS/GCP/Azure Fundamentals.

Awards & Recognition

Academic Excellence Award: Awarded for maintaining a top-tier 8.01 CGPA in technical coursework.

Tech Ideathon Finalist: Recognized for innovative predictive analytics and problem-solving solutions.

Best Project Showcase: Honored for excellence in ML and IoT integration and hardware-software synergy.

Profile Summary

Machine Learning Developer with strong proficiency in Python and hands-on experience across the end-to-end ML lifecycle, from data collection to model deployment.

Experienced in data preprocessing, feature engineering, and data analysis using Pandas and NumPy to build high-quality datasets for machine learning models.

Hands-on experience in developing, training, and fine-tuning machine learning models for predictive analytics using Scikit-learn and basic TensorFlow.

Strong understanding of model evaluation and optimization techniques, including accuracy, precision, recall, F1-score, and confusion matrix, to improve model performance.

Capable of deploying machine learning models into production environments using Flask, with proper documentation and performance tracking.