Prerna

AI & ML Engineer | Computer Science & Engineering Graduate

Artificial Intelligence and Machine Learning
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1roles
43skills
1education
2credentials

About

B.Tech. Computer Science and Engineering (AI & ML) graduate with hands-on experience in machine learning, deep learning, computer vision, generative AI, and data analytics through a research internship and academic projects.

Experience

AI & ML Intern

iHub Drishti Foundation, IIT Jodhpur

May 2025 – March 2026

Developed a Blender plugin integrating Stable Diffusion for automated texture generation and application; curated and processed a dataset of over 30,000 texture images; fine-tuned Stable Diffusion models using LoRA; integrated the inference pipeline into Blender using Python and the Blender API; contributed to dataset preprocessing, model evaluation, and workflow optimization using PyTorch and Hugging Face.

Education

Jodhpur Institute of Engineering and Technology

B.Tech., Computer Science & Engineering (AI & ML)

Oct 2022 – May 2026

Percentage: 88.9%

Skills

PythonCSQLMachine LearningDeep LearningConvolutional Neural Networks (CNN)Computer VisionNatural Language Processing (NLP)Generative AIDiffusion ModelsStable DiffusionLoRA Fine-tuningPower BIData CleaningData PreprocessingExploratory Data Analysis (EDA)Feature SelectionData VisualizationModel EvaluationHyperparameter TuningTensorFlowPyTorchScikit-learnPandasNumPyMatplotlibOpenCVHugging Face TransformersMySQLGitGitHubVS CodeJupyter NotebookGoogle ColabWindowsBlender APIAzure Data FactoryAzure DatabricksAzure Synapse AnalyticsGemini APIGoogle Speech APIGradioPyAudio

Projects

End-to-end data engineering project using Azure

Migrated data from an on-premise SQL Server database to Azure using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics, with Microsoft Power BI used for visualization.

Multimodal conversational Chatbot

Developed a multimodal conversational AI application supporting text, voice, and image interactions by integrating Gemini API, Google Speech API, Gradio, Python, and PyAudio. Enabled multilingual communication with real-time speech recognition and translation.

Deep learning-based camouflage object detection

Built an end-to-end computer vision solution using CNNs for camouflage object detection, including image preprocessing, augmentation, feature extraction, CNN model training, and model optimization.