• 🎓 B.Tech CSE (3rd Year), India
• 💻 Strong in Python, SQL, Data Science & Machine Learning
• 🚀Built scalable machine learning pipeline using PySpark for real-world datasets
• 🧠 Exploring Deep Learning, Knowledge Graphs & Large Language Models (LLMs), Exploring AI,Retrieval-Augmented Generation (RAG)
• ⚡ Practicing Data Structures & Algorithms for interview preparation
• 🎯 Goal: Software Engineer role at Google, Microsoft, Accenture, Infosys

• Languages: Python, SQL
• Data: Pandas, NumPy
• ML/AI: Scikit-learn, RAG, NLP
• Tools: FAISS, LangChain, Neo4j

• Developed a scalable machine learning pipeline using PySpark
• Performed data preprocessing, feature engineering, and model building
• Implemented Logistic Regression & Random Forest models
• Focused on handling large-scale structured datasets efficiently

🔗 https://github.com/Anshu-code-202

• Built a Retrieval-Augmented Generation (RAG) pipeline using FAISS + LangChain + Neo4j
• Implemented text chunking, embedding generation, and semantic search
• Integrated LLM for contextual response generation
• Tech: Python, FAISS, LangChain, Neo4j, OpenAI

🔗 Repo: https://github.com/Anshu-code-202/ai-knowledge-graph-infosys-springboard-batch13-training

• 📌 Explore all my work here:
  🔗 https://github.com/Anshu-code-202

• 🧠 Deep Learning (Neural Networks, TensorFlow/PyTorch)
• 📊 Advanced Data Science & ML
• ⚡ Data Structures & Algorithms

• 💼 Crack top MNCs (Google, Microsoft, Accenture, Infosys)
• 🚀 Build production-level AI/ML systems
• 🌍 Contribute to Open Source

"First, solve the problem. Then, write the code."