M.RENUKA

AI Engineer

Hyderabad, IN.

About

Highly motivated and results-driven AI Engineer Intern with hands-on experience in developing and deploying machine learning and deep learning models. Proficient in Python, TensorFlow, and PyTorch, with a strong focus on optimizing data processing, enhancing model accuracy, and delivering innovative AI-driven solutions. Eager to leverage expertise in NLP and Computer Vision to solve complex real-world problems and contribute to cutting-edge technological advancements.

Work

DATAVALLEY

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AIML Intern

Hyderabad, Telangana, India

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Summary

Currently developing and deploying advanced AI/ML models to solve real-world problems, enhancing system capabilities and driving innovation within the AI research team.

Highlights

Implemented and trained diverse deep learning models using Python, TensorFlow, and PyTorch, contributing to the development of intelligent systems for various applications.

Assisted in optimizing data preprocessing pipelines, model evaluation metrics, and hyperparameter tuning, significantly improving model accuracy and performance by up to 15%.

Collaborated effectively with a 5-member AI research team to design, develop, and rigorously test intelligent systems and automation tools.

Applied Natural Language Processing (NLP) and Computer Vision techniques to develop project features, enhancing functionality for various AI applications.

Utilized GitHub for robust version control, facilitating seamless code collaboration and comprehensive documentation of AI experiments and model iterations.

Volunteer

Cultural and Technical Fest Coordinator

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Vijaya Institute of Technology for Women

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Coordinated key aspects of cultural and technical college festivals, managing logistics and participant engagement to ensure successful events.

Highlights

Organized and managed logistics for multiple events during college cultural and technical festivals, accommodating over 500 participants.

Facilitated seamless coordination between different teams and stakeholders, ensuring smooth execution of diverse activities and performances.

Volunteer

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National Service Scheme (NSS)

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Actively participated in community service initiatives during the first year of B.Tech, contributing to social welfare and awareness programs.

Highlights

Engaged in various community outreach programs, supporting local initiatives and fostering social responsibility.

Collaborated with peers to organize and execute awareness campaigns, impacting over 100 individuals on key social issues.

Education

VIJAYA INSTITUTE OF TECHNOLOGY FOR WOMEN

Vijayawada, Andhra Pradesh, India
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Bachelor of Technology Artificial Intelligence and Machine Learning (AIML) Grade: 7.8/10 GPA

Courses

Supervised & Unsupervised Learning

Neural Networks & Deep Learning Architectures (CNN, RNN)

Natural Language Processing (NLP)

Computer Vision

Data Preprocessing & Model Evaluation

Object-Oriented Programming (OOP) Concepts

Data Structures & Algorithms

Publications

Drug review sentiment analysis using bidirectional LSTM for medication recommendation

IJERST (International Journal of Engineering Research in Science & Technology)

Co-authored a peer-reviewed research paper applying deep learning (Bi-LSTM) for Natural Language Processing (NLP)-based sentiment analysis, significantly contributing to the development of medication recommendation frameworks in healthcare.

Languages

English

Telugu

Hindi

Certificates

AI & Machine Learning Fundamentals

GUVI

Generative AI Fundamentals

Google Cloud

Python and Data Analytics

Infosys Springboard

AI and Emerging Technologies Cohort Program

N/A

Skills

Data Analysis & Visualization

Pandas, NumPy, Matplotlib, Data Analysis, Data Visualization.

Programming Languages

Python, C, Java, JavaScript.

Web Technologies

HTML, CSS, HTML5, CSS3, Responsive Design, Basic Web Layouts.

Databases

SQL.

Machine Learning

Supervised Learning, Unsupervised Learning, Data Preprocessing, Model Evaluation, Scikit-learn, Hyperparameter Tuning.

Deep Learning

Neural Networks, CNN, RNN, TensorFlow, PyTorch, Keras, Deep Learning Models.

Natural Language Processing (NLP)

NLP Techniques, Generative AI, Large Language Models (LLMs), Prompt Design.

Computer Vision

OpenCV, Computer Vision Techniques.

Tools & IDEs

Jupyter Notebook, Google Colab, VS Code, PyCharm, GitHub.

Operating Systems

Windows, Linux.

Software Development Practices

Version Control, Code Collaboration, Documentation, OOP Concepts, Exception Handling, Collections, Basic Data Structures.

Interests

Classical Dance

Performance, Artistic Expression.

Projects

Multi-Agent Visualization Code Generation & Evaluation System using LangGraph

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Summary

Designed and implemented an AI-driven multi-agent system capable of generating and refining Python data visualization code from natural language prompts, leveraging LangChain and LangGraph.

AI Chatbot with CRM Integration

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Summary

Developed an AI chatbot utilizing Natural Language Processing (NLP) for efficient customer query handling and seamless integration with a CRM system.