Anurag Yadav

Software Developer · Backend, Generative AI & Agentic AI

Greater Noida, Uttar Pradesh, India

@anurag_yadav2

0 followers

🎓 Bachelor of Technology in Computer Science and Engineering (Data Science) at Dr. A.P.J. Abdul Kalam Technical University · Graduating 2027

Follow Message

About

Software developer focused on backend systems, generative AI, and agentic AI. Built RAG pipelines, LLM applications, and collaborative full-stack products using Python, FastAPI, LangGraph, Qdrant, and Docker.

Education

2027

Bachelor of Technology

Galgotias College of Engineering and Technology

Awarded by Dr. A.P.J. Abdul Kalam Technical University

Computer science and engineering -Data science · Sep 2023 – Jun 2027

Computer science and engineering -Data science · Sep 2023 – Jun 2027

Skills

<3 months

C SQL RAG Oop LLMs LoRA React Faiss Python FastAPI Node.js Pydantic LangChain LangGraph Express.js JavaScript TypeScript Tailwind CSS Advanced DBMS Computer Networks Operating Systems API Integration Understanding

Tools / apps / platforms

<3 months

Git MySQL Redis Docker GitHub QDrant MongoDB Postman ChromaDB PostgreSQL Google Colab Hugging Face

Projects

Qwen3-4B Mathematical Reasoning Fine-Tuning (QLoRA)

Google Colab, Hugging Face Transformers, PEFT, Datasets, BitsAndBytes, PyTorch

Fine-tuned Qwen3-4B for mathematical reasoning using QLoRA/PEFT and processed 2,000 OpenMathReasoning examples into chat-template format for supervised causal language-model training.
SketchWaves - Real-Time Collaborative Whiteboard

React.js, Node.js, MongoDB, Docker, WebSocket

Built a real-time collaborative whiteboard with low-latency canvas synchronization, multi-user sessions, live drawing, shapes, text, and undo/redo. Developed a full-stack app with persistent session and drawing storage.
RAG-Based E-Commerce Product Assistant

Python, FastAPI, Qdrant, OpenAI API, Cohere, LangSmith, React, Docker

Built a hybrid-search RAG chatbot over Amazon product data with dense retrieval, BM25 keyword search, reciprocal rank fusion, structured LLM outputs, and cited product references. Developed a ReAct/LangGraph shopping agent, traced the pipeline with LangSmith, and built a FastAPI + React app with PostgreSQL-backed cart operations.

🏆 Achievements & awards

Solved 1000+ DSA Problems

Solved problems across LeetCode, GFG, and Codeforces; LeetCode rating 1800+.
LeetCode Weekly Contest Rank

Ranked in Top 2000 in a LeetCode Weekly Contest.

Explore the Broxer community

💬 Q&A Ask about roles, salaries and interviews — and help others. 👥 Circles Join discussions on skills, companies and industries. 📰 Feed Follow updates and insights from the community.