Sree Dhyuti Nimmagadda

I am Sree Dhyuti

Name: Sree Dhyuti Nimmagadda

Profile: AI Engineer

Email: sreedhyutin@gmail.com

Skills

Python

C/C++

Algorithms

Deep Learning Architectures

Data Science

DevOps

NLP

Computer Vision

Hardware Acceleration

About me

As a Master's student in Artificial Intelligence at Northwestern University, with a strong focus on Machine Learning, Computer Vision, and Natural Language Processing (NLP), I have developed my skills through various internships in these fields, as well as in Backend Web Development, Statistical Data Analytics, Graph Theory, and User Interface Design. Proficient in C/C++ and Python, I am well-versed in a range of programming tools and frameworks such as OpenCV (cv2), pandas, matplotlib, TensorFlow, Keras, NLTK, HTML, CSS, JavaScript, and PHP. Additionally, I have experience parallelizing complex ML algorithms using OpenMP and CUDA, and I am comfortable working across different operating systems.

Beyond my technical expertise, I have gained valuable leadership experience through my involvement in my institute’s Alumni Affairs student team, and in roles such as Core Member of the Institute’s Music Club and Secretary for Vidhai, an NPO affiliated with IIITDM Kancheepuram. These roles have helped me hone my interpersonal and leadership skills, which I believe are essential for achieving my career goals.

Portfolio

A not-very exhaustive collection of all of my projects

All Projects
Artificial Intelligence
Machine Learning
Data Science
Computer Vision
NLP
General

Scientific Text Summarizer

Text summarization using an RL-enabled PEGASUS model and Siamese Network evaluation for improved summary quality and coherence, and my paper on this was published in IEEE TENCON 2024.

Drugs, Side Effects, and Medical Conditions Analysis

This project involves analyzing a pharmaceutical dataset to explore the relationships between drugs, side effects, and medical conditions using data visualization, association mining, and various other techniques.

Human Artery Vein Classification with U-Nets

A U-Net based deep learning model built to classify and differentiate between human artery and vein images for medical diagnostics and research.

Bot Clean

A simple bot designed to navigate through a matrix and clean all of its dirty cells.

QnA Bot

A TF-IDF based parser to parse through paragraphs and answer questions.

Sign Language Translator

A Sign Language Translator project that uses a Convolutional Neural Network (CNN) to translate hand gesture images into English text, helping bridge communication for deaf individuals.

Color-based Classification

A Computer Vision Program to detect the color of the balls and get the timestamps of each ball entering and exiting the quadrants.

PHP-based Student Management Portal

A PHP-based student portal that helps students manage their academic and extracurricular activities, featuring modules for login, timetable, lost and found, assignments organizer, password change, and internship updates.

CS50 AI Mini-Projects Repository

A collection of 12 unique AI programs developed using various AI concepts, including Optimization, Machine Learning, and NLP.

The Digital Image Processing Repository

This repository contains various Digital Image Processing methods, covering topics such as face recognition, aliasing, histogram processing, noise filtering, and image phase and magnitude swapping.

The Pattern Recognition Collective

Assignments done as a part of my Pattern Recognition course

High Performance Computing

A repository containing assignment codes for the 'High Performance Computing' course, where I learned to parallelize various ML algorithms in C++ and Python using OpenMP, MPI, and CUDA.

Big Data Analytics

Contains assignments from the Big Data and Analytics course, featuring in-depth exploration of Data Science concepts such as EDA, data preprocessing, feature selection, dimensionality reduction, statistical modeling, clustering, and analysis with PySpark.

Social Distancing Monitor

An image processing project that utilizes an inbuilt Histogram of Oriented Gradients (HOG) descriptor to recognize people in a given area and estimate the distance between them