DSA FOR DATA SCIENTIST

[Craziprogrammerharish]

Introduce yourself

Hi everyone! 👋

I'm Harish, a Generative AI Engineer and Machine Learning Engineer with over 3 + years of experience building AI-powered applications using Python, Machine Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), LangChain, NLP, and FastAPI.

I created this discussion to learn and share knowledge about Data Structures and Algorithms (DSA) specifically from a Data Scientist and AI Engineer's perspective. While DSA is often associated with software engineering interviews, it's also valuable for writing efficient ML pipelines, optimizing data processing, and preparing for technical interviews at top product companies.

I'm currently strengthening my DSA skills in C++, Python, and SQL while preparing for advanced AI and Machine Learning roles. I hope this discussion becomes a place where we can ask questions, share resources, solve problems together, and help each other grow.

Looking forward to learning with all of you! 🚀

Links (optional)

No response

Where are you in your GitHub journey?

Here to make connections

And where are you going next on GitHub?

My next goal is to build production-ready AI applications and contribute more actively to open source. I'm focusing on creating high-quality projects in Generative AI, LLMs, RAG, AI Agents, and Data Science while improving my DSA skills for technical interviews.

What technical skills or projects are you working on?

I'm currently working with Python, Machine Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), LangChain, AI Agents, FastAPI, Vector Databases, SQL, and Data Structures & Algorithms. My current projects include AI assistants, semantic search systems, enterprise RAG applications, and end-to-end Generative AI solutions.

Got a question for us? (optional)

No response