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Ayansh Kr Yadav
Full Stack Engineer
Available for remote workOverview
Data Analytics Intern @YBI Foundation
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
Languages
Frontend
Backend
Databases
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)
Research Paper — Enhancing Accommodation Discovery: A Hybrid Approach to Paying Guest Recommendation Systems
- Issued by
- Springer (AdComSys 2024)
- Issued on
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