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Ayansh Kr Yadav 

Full Stack Engineer

Overview

Social Links

About

  • B.Tech IT student at University of Kalyani, building at the intersection of Full Stack and Generative AI.
  • Co-authored a Springer-indexed research paper at AdComSys 2024 ("Enhancing Accommodation Discovery: A Hybrid Approach to Paying Guest Recommendation Systems").
  • Currently shipping production-grade AI systems — GraphRAG pipelines, autonomous agents with MCP servers, and semantic search applications.
  • Passionate about turning LLM research into real deployed products.
  • Targeting Full Stack + GenAI engineering roles at Indian product companies and startups.

GitHub Contributions

Testimonials

Stack

Blog

Experience

YBI Foundation

  • Engineered ML classification pipelines using Scikit-learn and Pandas, achieving 91% model accuracy through feature engineering and cross-validation.
  • Collaborated with cross-functional teams to automate EDA workflows using Python and Pandas, cutting manual analysis time by ~40% across 5+ real-world datasets.
  • Performed data analysis and visualization to deliver insights from structured data.
  • Applied supervised learning models for classification and regression tasks.
  • Python
  • Pandas
  • Matplotlib
  • Scikit-learn
  • Machine Learning
  • Data Analysis
  • EDA
  • Supervised Learning

Education

  • Currently studying at University of Kalyani, West Bengal.
  • CGPA: 8.0/10
  • Mess Prefect — Banyan Hall Hostel
  • Deepened knowledge in Data Structures, Algorithms, DBMS, and core Computer Science subjects.
  • Information Technology
  • Data Structures
  • Algorithms
  • Full Stack Development
  • Generative AI
  • Calcutta Technical School, WBSCTE
  • CGPA: 8.1/10
  • Built a strong foundation in computer science and software development.
  • Computer Science
  • Software Engineering
  • Web Development

Projects(4)

Production-grade GraphRAG pipeline combining vector search and knowledge graph retrieval for hybrid, context-aware document querying.

  • Vector store integration via Qdrant for semantic similarity search
  • Knowledge graph via Neo4j for entity-relationship traversal
  • LangFuse for full observability, tracing, and evaluation
  • Fully Dockerized with Nginx as reverse proxy
  • LangGraph for stateful multi-step agent orchestration
  • LangGraph
  • Qdrant
  • Neo4j
  • LangFuse
  • MinIO
  • Docker
  • Nginx

Honors & Awards(2)

Certifications(5)

Supervised Machine Learning: Regression and Classification

Issued by
DeepLearning.AI & Stanford Online
Issued on

Advanced Learning Algorithms

Issued by
DeepLearning.AI & Stanford Online
Issued on

Data Analytics Certificate Program cum Internship

Issued by
YBI Foundation
Issued on

Professional Diploma in Technical Project Management

Issued by
Udemy
Issued on

Viksit Bharat Young Leaders Dialogue (VBYLD) 2026

Issued by
MYBharat - Ministry of Youth Affairs & Sports
Issued on