I’m a AI and Data Science Student at CIT with hands-on experience in Machine Learning through various projects, internships, and research work. I have a passion for learning and sharing my knowledge with others in a way that's as public as possible.

About Me

• I’m a student currently working on Machine Learning Projects.

• My interests span over the areas such as Computer Vision, RAG, and Large Language Models(LLMs)

• How to reach me? rajendran.stech@gmail.com or LinkedIn

• Where am I? Currently Living in Coimbatore

Please find me on LinkedIn for a more detailed description of my full work experience, education, and certification. You can get in touch with me by email at rajendran.stech@gmail.com

• A Beginner’s Guide to Self-Supervised Learning
• Why learn from one source when you can learn from many? — MultiModal AI, a step towards AGI.
• Build interactive plots in minutes using Plotly for Machine Learning
• Calculus You Actually Need for Machine Learning
• Accelerate your ML models using RAPIDS AI
• 26 Important Concepts that you should learn in Linear Algebra for Machine Learning — PART II
• 26 Important Concepts that you should learn in Linear Algebra for Machine Learning — PART I
• What is MCP and why is suddenly everyone talking about it?
• Is simplicity the new sophistication?
• The fear of being revelead as an amateur

I write regular blog posts, most of which you will find on my personal website and medium. I write about things I am familiar with, things that trip me up in my projects, and things that I am learning. Day-to-day, I create things with data using Python and Machine Learning.

All of my projects are released as open-source on GitHub:

• wastewise: This proof-of-concept is a web application that can classify the waste objects in real-time. This project involved capturing real-world images, annotating and labelling the data, training, and evaluating the models. Four different YOLO models, such as YOLOv10s, YOLOv10m, YOLOv11n, and YOLOv12s, were trained on the collected dataset.
• annonify: This project is an end-to-end application designed to detect sensitive information in documents using YOLOv8. It aims to detect the PIIs in the document and redact them. It also provides functionalities to replace the PIIs when given a text input.
• factoryeye: It provides real-time monitoring and predictive analytics for industrial operations with AI analysis and recommendations. It analyses the real-time data of the utility parameters collected from the industries through sensors and visualises them on a dashboard with charts, 3D VR-based Visualisation, and alerts.
• respio: This project aims to ensure the health and safety of workers in the food processing industries. It receives the employee’s respiratory audio as input, and the trained model will analyze the audio, and the deep learning-based system will classify them into different respiratory diseases.
• tinytoes: It is a comprehensive web platform designed to help parents understand and care for their babies using advanced AI technology. It offers features such as baby cry analysis, milestone tracking, expert consultations, and a nanny booking service to provide seamless support to parents.
• cognichat: This project allows users to upload multiple PDF documents and interactively chat about the content of those documents using a conversational AI model. The chatbot is designed to process PDF files, extract text from them, and generate embeddings for the text chunks using an open-source model (FLAN-T5).

⏩ and many more

• won 1st place in several hackathons and technical events
• completed 100 days of coding challenge
• organized several impactful events for the student community of CIT, taking on major leadership responsibilities