Open to opportunities

Lakshmi Sayyapureddy

@lakshmisayyapureddy

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Computer science student and data scientist specializing in deep learning, computer vision, and LLM applications.

India

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What I'm looking for

I seek roles focused on applied ML/AI and LLM systems where I can build production-ready models, optimize pipelines, and contribute to research-driven product impact.

I am a Bachelor of Technology student in Computer Science with strong hands-on experience in deep learning, computer vision, and LLM-driven solutions. I focus on building production-oriented models and optimized data pipelines that deliver measurable performance gains.

As a research intern, I applied Swin Transformer and TransNetOCT to achieve up to 92% accuracy for Alzheimer’s classification from retinal OCT images, and reduced preprocessing time by 30% while accelerating training efficiency by 20%.

In data science internships, I developed an emotion recognition system with 95%+ accuracy, executed K-Means clustering on 10,000+ customer records to surface actionable segments, and improved model deployment and insight generation efficiencies across projects.

I design end-to-end projects—MCQ Generator with LangChain and Gemini API, resume ATS tracking and multi-language invoice extractor with Gemini Pro and OCR—focused on automation, increased match/extraction rates, and practical impact for users and businesses.

Experience

Work history, roles, and key accomplishments

Research Intern

Bangalore Centre for Brain Research, IISc Bangalore

Jun 2025 - Aug 2025 (2 months)

Developed transformer-based models (Swin Transformer, TransNetOCT) for Alzheimer’s classification on retinal OCT images achieving up to 92% accuracy and optimized data pipelines to reduce preprocessing time by 30% and accelerate training by 20%.

Python PyTorch TensorFlow Computer Vision Data Pipelines Model Evaluation

Data Science Intern

Nexts Info

Jan 2024 - Present (1 year 9 months)

Applied K-Means clustering to 10,000+ customer records to identify four actionable segments and streamlined preprocessing pipelines to generate 25% more business insights.

Python data preprocessing Matplotlib SeaBorn Customer Segmentation

Data Science Intern

Arthavo Technologies

Jan 2024 - Present (1 year 9 months)

Built an emotion recognition system achieving 95%+ facial expression classification accuracy and improved model deployment efficiency by 15% through optimized ML workflows and supervised learning techniques.