MS in Computer Science @ USC (Viterbi)
Machine Learning • Backend Engineering • AI Automation • Full-Stack Development
Ex-Bajaj Finserv Health (Software Engineer and Software Engineer Intern) • Ex-CuriousJr (Software Engineer Intern)

I work at the intersection of AI, data, and scalable systems — building products that combine
real-world APIs, ML pipelines, and automation workflows to solve impactful problems.

• ML pipelines for classification, imbalance handling, and model evaluation at scale
• Interactive portfolio website showcasing academic + industry work
• Backend architectures using Java, Spring Boot, and cloud deployments

• Applied Machine Learning & Evaluation
• Systems Design & Cloud-Native Engineering
• AI-driven Automation (n8n, Lovable, OpenAI)
• Hackathons & rapid prototyping

Languages: Java, Python, TypeScript, SQL
ML/AI: Scikit-Learn, Statsmodels, XGBoost, PCA, SMOTE
Backend: Spring Boot, Node.js, Express
Frontend: React, Next.js, Tailwind
Cloud/DevOps: Azure (AKS), Docker, GitHub Actions
Tools: n8n, Lovable, OpenAI APIs

• Smart Energy Optimization App – Real-time grid risk scoring + dashboard (Meteo + EIA + n8n)
• APS Failure Prediction Pipeline – Imbalanced industrial dataset using RF/XGBoost
• Breast Cancer ML Suite – supervised, semi-supervised & clustering approaches
• Sequence Alignment (CSCI 570) – algorithmic dynamic programming project

• Portfolio: https://adityalagad.vercel.app/
• LinkedIn: https://www.linkedin.com/in/adityalagad/

Thanks for stopping by! If you want to collaborate on ML projects, hackathons, or backend systems, feel free to reach out.