LIKHITHA RAVI - Machine Learning Intern

Work preference

Job search status

Open to work

Desired job title

Google AI & ML Engineer Virtual InternMachine Learning InternSQL Developer

Work Type

Full timePart timeContract work

Location preference

On-siteRemote

Location: Abu Dhabi, United Arab Emirates

Open to relocation: Yes

Salary range

$45000/yr - $200000/yr

Important to me

Working remotely optionFlexible work hoursHealthcare benefitsPersonal development programmesTeam building / company retreats

Summary

Python Full-Stack Developer and AI/ML graduate with hands-on experience in Flask, Machine Learning, NLP, and SQL. Skilled in building web applications and AI-based solutions using Python. Passionate about developing scalable applications and solving real-world problems through technology. Results-driven Python Developer and AI & ML graduate with practical experience in full-stack web development, Machine Learning, NLP, and database management. Skilled in building scalable Flask applications, developing AI-powered solutions, and implementing machine learning models using Python. Strong understanding of REST APIs, data preprocessing, model optimization, and software development best practices.

Overview

3

Languages

1

Certificate

4

years of post-secondary education

2

years of professional experience

Work history

Machine Learning Intern

VXL IT Solution

Vijayawada, Andhra Pradesh

2022.05 - 2022.06

* Preprocessed and analyzed 1,000+ text samples, applying feature extraction and SVM and Naive Bayes algorithms to build and evaluate sentiment classification models.

Google AI & ML Engineer Virtual Intern

SmartInternz

Remote

2023.12 - 2024.04

Developed 3+ NLP-based AI workflows for multilingual text summarization using Python and Gemini Pro LLM, automating text processing and improving summarization efficiency.

Education

Bachelor of Technology (B.Tech) - Computer Science Engineering (AI & ML)

PSCMR College of Engineering & Technology, Vijayawada

2020.01 - 2024.01

GPA: 7.64

Skills

Programming: Python, SQL
Web Technologies: HTML, CSS, Flask
Databases: SQLite
AI/ML: Machine Learning, NLP, Scikit-learn, Pandas, NumPy
Tools: Git, VS Code, Notebook
Machine Learning & Deep Learning
Generative AI & Large Language Models (LLMs)
Natural Language Processing (NLP)

Computer Vision
Python, TensorFlow, PyTorch, Scikit-learn
Data Analysis & Model Development
Strong analytical and problem-solving skills
Quick learner and adaptable to new technologies
Effective communication and teamwork abilities
Leadership and collaboration skills
Interdisciplinary communication

Certification

Python Full Stack Development – Codegnan
Mean Stack Development – BrainOvision
TCS iON Career Edge – Young Professional
MIT App Inventor – Codegnan

Timeline

Google AI & ML Engineer Virtual Intern - SmartInternz

2023.12 - 2024.04

Machine Learning Intern - VXL IT Solution

2022.05 - 2022.06

PSCMR College of Engineering & Technology - Bachelor of Technology (B.Tech), Computer Science Engineering (AI & ML)

2020.01 - 2024.01

FEATURED PROJECTS

SMARTCART – Full-Stack E-Commerce Web Application Role: Full-Stack Developer Developed a Flask-based e-commerce web application with login authentication, shopping cart, order processing, and admin CRUD operations using SQLite database integration., Restaurant Reviews Sentiment Analysis Role: Machine Learning Developer Built an NLP-based sentiment analysis application using Python and Scikit-learn to classify 1,000+ restaurant reviews with approximately 80% prediction accuracy., Text Summarization of Research Papers Role: AI & NLP Developer Developed a multilingual research paper summarization system using Gemini Pro LLM and Google Translate API supporting 20+ languages.

PROFESSIONAL STRENGTHS

Strong analytical and problem-solving skills
Quick learner and adaptable to new technologies
Effective communication and teamwork abilities
Leadership and collaboration skills

References

References available upon request.

FEATURED PROJECTS

SMARTCART – Full-Stack E-Commerce Web Application Role: Full-Stack Developer Developed a Flask-based e-commerce web application with login authentication, shopping cart, order processing, and admin CRUD operations using SQLite database integration., Restaurant Reviews Sentiment Analysis Role: Machine Learning Developer Built an NLP-based sentiment analysis application using Python and Scikit-learn to classify 1,000+ restaurant reviews with approximately 80% prediction accuracy., Text Summarization of Research Papers Role: AI & NLP Developer Developed a multilingual research paper summarization system using Gemini Pro LLM and Google Translate API supporting 20+ languages.