Hi, I'm Rajat

M.S. in Computer Science at The George Washington University

import tensorflow as tf
from transformers import AutoModel
# Building AI solutions
class AIEngineer:
    def __init__(self):
        self.skills = [
            "Deep Learning",
            "Computer Vision",
            "NLP"
        ]

Education

The George Washington University

Master of Science in Computer Science

August 2024 - May 2026 • Washington, D.C.

PES University

Bachelor of Technology in Computer Science and Engineering

December 2020 - May 2024 • Bangalore, India

Experience

Research Assistant

PES University

Trained and developed a Vision-Language Model to generate metaphorical interpretations from images, combining CNNs for image feature extraction and Transformer-based NLP models, integrating both visual and textual feature representations to analyze visual metaphors for multimodal metaphor detection.

June 2023 - December 2023 • Bangalore, India

Skills

Programming & Scripting

Python
R
SQL
Java

Machine Learning & AI

scikit-learn
TensorFlow
PyTorch
Bedrock
SageMaker

Data Analytics & Visualization

NumPy
pandas
Matplotlib
Tableau
Power BI

Data Engineering & Cloud

Spark
Airflow
Kafka
Redshift
MySQL
PostgreSQL
MongoDB

Tools & DevOps

Git
Docker
Jenkins
Jira

Projects

BiLSTM-CNN With Attention For RUL Prediction

Created a hybrid deep learning model combining BiLSTM, Transformer, and CNN architectures to estimate Remaining Useful Life of aircraft engines using NASA C-MAPSS dataset. Incorporated CBAM attention and transformer blocks for enhanced prediction accuracy.

TensorFlow scikit-learn

Anomaly Detection in Surveillance Videos

A novel Multiple Instance Learning (MIL) based model architecture to classify surveillance video segments as anomalous or normal. Achieved an AUC of 0.9022, outperforming state-of-the-art models on the UCF-Crime dataset.

PyTorch

AI-Powered Diagnostic Support Tool

Retrieval-Augmented Generation (RAG) based diagnostic support tool using PubMed data and OpenAI API to suggest possible diseases based on patient symptoms, demographics, and medical history. Integrated Agentic AI for context-specific responses.

Node.js React

Vehicle Detection and Classification

SSD-Mobilenet V1-based traffic monitoring system to detect, count, and classify vehicles in real-time. Implemented vehicle color and speed prediction, storing images of detected vehicles, and logging detection data to a CSV file.

TensorFlow OpenCV

Churn Prediction with ML Ensemble Methods

Built and evaluated multiple machine learning models to predict customer churn using a telecom dataset. Applied feature engineering and preprocessing, and benchmarked classifiers including Logistic Regression, SVM, Decision Trees, Random Forest, Gradient Boosting, and ensemble methods.

pandas NumPy scikit-learn

Certifications

AWS Certified AI Practitioner

AWS AI Practitioner

Issued: September 2025 | Expires: September 2028

AWS Certified Cloud Practitioner

AWS Cloud Practitioner

Issued: September 2025 | Expires: September 2028

Get In Touch

rajat.rayaraddi@gmail.com