Delhi CSE Student Vinayak Joins DEV to Document Real-World ML Debugging Lessons

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Vinayak Garg, a computer science undergraduate from Delhi, has joined the DEV Community platform to write about his hands-on experience building and deploying machine learning projects. His completed work includes a network intrusion detection system with an F1 score of 0.991, a customer churn model, and a student performance predictor. During a two-month internship, he also developed a LangGraph-based WhatsApp campaign bot and a multi-tenant RAG chatbot using Qdrant and Groq. Vinayak says his writing will focus on the debugging and deployment challenges that standard tutorials typically leave out, such as Docker caching issues and silent exceptions in LangGraph nodes. He plans to cover topics including ML model deployment to AWS EC2 with GitHub Actions, sharing the specific mistakes he encountered along the way.

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