Deepak Agarwal

I’m a Python developer with 4+ years of backend engineering experience, focused on integrating NLP and ML models into production systems. I’ve built and optimized RESTful APIs with Flask for data-driven platforms, worked across messy real-world datasets, and turned analytical needs into reliable services.

In my current role, I develop pipelines in Python and Pandas to generate inventory insights from 500k+ row datasets, optimize PostgreSQL performance (up to 67% reduced query execution time), and add Redis caching to improve response times. I also co-developed an inventory chatbot using a traditional RAG pipeline, and I’m actively upskilling in Large Language Models, Generative AI, and Retrieval-Augmented Generation (RAG) architectures—especially LangChain/LangGraph and vector-based retrieval—so I can transition into a full-time Data Science role.