Hello, I'm

Tejaswi Raj

ML Research Engineer

I build intelligent systems that bridge the gap between data and actionable insights. Passionate about leveraging Machine Learning and Deep Learning to solve real-world problems in healthcare, geospatial analysis, and beyond.

Get In Touch View Projects
class MLEngineer:
    def __init__(self):
        self.name = "Tejaswi Raj"
        self.skills = ["ML", "DL", "CV"]
        self.passion = "∞"
01

About Me

I'm a Machine Learning Research Engineer with hands-on experience at premier research institutions including DRDO and IIT Mandi. My work focuses on developing AI solutions for critical applications in healthcare, geospatial analysis, and brain-computer interfaces.

Currently pursuing my B.E. in Computer Science Engineering at Chandigarh University, I've published research in international conferences and developed models achieving up to 99% accuracy in disease detection and classification tasks.

Technical Arsenal

Machine Learning

PyTorch TensorFlow scikit-learn Deep Learning CNNs Computer Vision Image Segmentation U-Net SegNet Feature Engineering

AI & Agents

Transformers Hugging Face NLP RAG AI Agents MCP

Programming Languages

Python C++ Java JavaScript TypeScript SQL R HTML CSS

Backend & APIs

FastAPI Node.js REST APIs

Databases

PostgreSQL MongoDB Supabase MySQL SQLite

DevOps & Cloud

AWS Git GitHub CI/CD Podman Cloudflare Vercel Netlify Render Heroku
02

Experience

Aug 2024 — Jan 2025 6 Months

ML Research Intern

Defence Geoinformatics Research EST. (DRDO), Chandigarh

Developed Deep Learning models for landslide detection using multispectral Sentinel-2 data, achieving a 73% F1-score. Enhanced performance through implementation of U-Net, AlexNet, and SegNet architectures for semantic segmentation tasks.

Python TensorFlow U-Net AlexNet SegNet
View Certificate
Feb 2024 — Jul 2024 6 Months

ML Research Intern

Indian Institute of Technology Mandi

Applied Machine Learning and Deep Learning techniques to Electroencephalogram (EEG) data for measuring electrical activity in the brain. Enhanced algorithms for precise information extraction and signal processing from neural data.

PyTorch scikit-learn MATLAB SciPy Signal Processing
03

Projects

Featured Project

Cardiovascular Disease Prediction & Prevention

Developed an AI system that accurately predicts Cardiovascular disease in patients by analyzing medical reports and daily routines using ML algorithms, achieving 94% accuracy.

Machine Learning Healthcare AI Prediction Model
Open Live App → View Notebook →

Plant Leaf Disease Detection

Created an AI model for plant disease classification using CNN algorithms across 11 distinct plant species, achieving 99% accuracy.

Deep Learning CNN Computer Vision
View Notebook →

Coronary Artery Disease Feature Selection

Engineered an AI model for precise feature selection of Coronary Artery diseases using Logistic and MLP approaches, achieving 90% accuracy.

Feature Engineering MLP Logistic Regression
View Notebook →
04

Publications

Cardiovascular Disease Prediction and Prevention: Exploring Novel Techniques and Applications Using Machine Learning

12th International Conference 2023

View on IEEE

Personality Analysis using Graphology and Image Processing Techniques

1st International Conference ICDCC-2024

View on IEEE
05

Certifications

AI / Machine Learning

Specialization

IBM Machine Learning

IBM · Coursera

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Exploratory Data Analysis for Machine Learning

IBM · Coursera

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Supervised Machine Learning: Regression

IBM · Coursera

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Supervised Machine Learning: Classification

IBM · Coursera

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Unsupervised Machine Learning

IBM · Coursera

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Deep Learning and Reinforcement Learning

IBM · Coursera

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Natural Language Processing with Classification and Vector Spaces

DeepLearning.AI · Coursera

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Introduction to Computer Vision and Image Processing

IBM · Coursera

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Decision Tree and Random Forest Classification

Coursera

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Build Random Forests in R with Azure ML Studio

Coursera Project Network

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SVM Regression, Prediction and Losses

Coursera

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AutoML Tools for Data Science

Coursera

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Software Engineering

Algorithmic Toolbox

UC San Diego · Coursera

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Data Structures and Performance

UC San Diego · Coursera

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Specialization

Java as a Second Language

LearnQuest · Coursera

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Introduction to Java as a Second Language

LearnQuest · Coursera

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The Java Language

LearnQuest · Coursera

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Writing Java Application Code

LearnQuest · Coursera

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Web Development

HTML, CSS, and JavaScript for Web Developers

Johns Hopkins · Coursera

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Front-End Web UI Frameworks and Tools

Coursera

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Single Page Web Applications with AngularJS

Johns Hopkins · Coursera

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Mobile Development and JavaScript

Coursera

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06

Education

2025 Graduation

B.E. in Computer Science Engineering

Chandigarh University, Mohali, Punjab

CGPA: 7.56

07

Get In Touch

I'm currently looking for new opportunities in Machine Learning and AI research. Whether you have a question or just want to say hi, I'll try my best to get back to you!

tejaswirajmgr@gmail.com +91 9473219473 LinkedIn
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