Asad Mulla

I've built production-style machine learning and generative AI applications, from documentation RAG systems to real-time traffic analytics and anomaly detection pipelines.

In DevDocs RAG, I indexed 350+ documentation files into 1,700+ searchable chunks using ChromaDB and Sentence Transformers, with multi-provider LLM fallback across Cerebras, Groq, and Gemini. I also built TrafficSense, an automated TomTom traffic-data pipeline covering 150+ major Bangalore roads with Random Forest prediction and a React monitoring dashboard.

I'm completing a BCA and have hands-on experience from a Machine Learning internship at Jyesta Corporate Entity. I'm seeking entry-level AI, machine learning, data science, and Python development opportunities where I can build useful end-to-end systems.