I am Nikhila Vutukuri

Name: Nikhila Vutukuri

Profile: Software Developer/Machine Learning Engineer

Email: nikhilavutukuri@gmail.com

Location: Los Angeles, CA

Skill

Python 90%
Machine Learning 85%
Web Development 85%
Computer Vision 70%
About me

I am a graduate student at University of Southern California pursuing Master of Science in Computer Science.

I have interned as a Full Stack Develeoper and Machine Learning Engineer. My recent work included frontend development using React and backend using NoSQL flavor, MongoDB.

After graduating from Jawaharlal Nehru Technological University in 2020, I have joined Persistent Systems Ltd, in India where I gained a little knowledge on Salesforce Customer Relationship Management, Process Builder and Workflows.

Libraries and Tools:

Numpy, Pandas, Plotly, Lambda, Flask, Matplotlib, Tensorflow, Keras, Scikit-Learn, XGBoost

Certifications and Achievements

You cannot succeed without efforts

Python DS

Coursera / Nov 2021

CNN

Udemy / Jan 2022

Web Development

Udemy / Jan 2022

Problem Solving

Hackerrank / Jan 2023

Projects

Learn Implement Test Repeat

Transfer Learning

Classify Bird Species

Built a Classifier to distinguish 20 bird species using Transfer Learning. Used VGG16 and EfficientNetB0 to compare and increase performance of the model.

ML

AdaPT

A web application to automate data preprocessing and training of datasets for classification and regression algorithms. Used cleaning methods for optimization.

Full Stack

Employee Database

Web application to create edit and delete employee records. Designed to display them and also store them in backend.

ML

Systolic Blood Pressure Predictor

A web application that predicts systolic blood pressure based on inputs height and weight. Used Linear Regression to train the model.

NLP

Hand Written Digit Recogniser

A program that recognises hand written digits ranging from 0-9 inclusive. Used no existing libraries. Implemented as a part of CSCI-561 coursework.

CV

Sign Language Detector

A computer vision and transfer learning model to detect hand gestures of Indian sign language.