Open to opportunities

Raghu Goddumuri

@raghugoddumuri

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I build AI-integrated full-stack and mobile applications for practical healthcare, business, and security challenges.

India

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What I'm looking for

I'm seeking a role where I can apply machine learning, deep learning, and full-stack development to ship real-time, production-ready solutions for practical problems.

I've built AI-integrated products spanning healthcare recommendations, business intelligence, air-quality guidance, and IoT intrusion detection. My work combines React.js, Node.js, Flutter, machine learning, and Gemini API integrations to turn practical problems into deployable applications.

At IIITDM Kancheepuram, I contribute to IoT network attack detection research by assembling traffic datasets, training attack-classification models, and exploring Explainable AI and Federated Learning. I also developed a Transformer-based intrusion detection pipeline using Attack-Domain Semantic Tokenization, PyTorch, Scikit-learn, XGBoost, and SHAP.

I've also delivered cross-platform Flutter applications at MegavizTech and shipped a responsive production website at AniCura Pvt Ltd. Hackathon recognition for UI/UX design and personalized AQI health guidance reflects my focus on building useful, accessible real-time solutions.

Experience

Work history, roles, and key accomplishments

Summer Research Intern

IIITDM Kancheepuram

May 2026 - Jul 2026 (2 months)

Contributing to a research initiative focused on identifying and classifying attacks in IoT networks through applied AI/ML techniques. Assembled a custom network traffic dataset and trained a machine learning model to predict and classify network attacks.

Python Machine Learning Wireshark FTK Imager Explainable AI Federated Learning