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.
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.
Cultural and Technical Fest Coordinator
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Summary
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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Summary
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.
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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
Published by
IJERST (International Journal of Engineering Research in Science & Technology)
Summary
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.
Issued By
GUVI
Issued By
Google Cloud
Issued By
Infosys Springboard
Issued By
N/A
Pandas, NumPy, Matplotlib, Data Analysis, Data Visualization.
Python, C, Java, JavaScript.
HTML, CSS, HTML5, CSS3, Responsive Design, Basic Web Layouts.
SQL.
Supervised Learning, Unsupervised Learning, Data Preprocessing, Model Evaluation, Scikit-learn, Hyperparameter Tuning.
Neural Networks, CNN, RNN, TensorFlow, PyTorch, Keras, Deep Learning Models.
NLP Techniques, Generative AI, Large Language Models (LLMs), Prompt Design.
OpenCV, Computer Vision Techniques.
Jupyter Notebook, Google Colab, VS Code, PyCharm, GitHub.
Windows, Linux.
Version Control, Code Collaboration, Documentation, OOP Concepts, Exception Handling, Collections, Basic Data Structures.
Performance, Artistic Expression.
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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.
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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.