Validates core understanding of Oracle data infrastructure, services, and platform fundamentals across the Oracle Data Platform 2025 program.
I'm Vibhav Yadav.Full-StackDeveloper
Crafting performant products with stunning interfaces and real-world impact — from CRDT-backed realtime sync to streaming platforms.
Problem Solving
Turning complex ideas into simple, usable, and efficient solutions.
Frontend Experience
Smooth, interactive, and visually engaging user interfaces.
Backend Systems
Scalable APIs and reliable server-side architectures.
Performance
Optimized for speed, scalability, and real-world usage.
Who I am.
I build systems,
not just features.
Computer Science Engineering student at Lovely Professional University. I specialize in robust backend architectures, interactive frontends, and writing optimized scale-ready code.
const rules = [ "Complexity is a cost.", "Ship. Refactor. Scale.", "Measure before optimizing." ]
You're not tired. You're undisciplined.
Doubt kills more dreams than failure ever will.
Training
Not just theory — applying learned concepts to real-world development and system design.
Full-Stack & DSA Training
@ W3Grads
- 01Intensive training program focused on modern web development paradigms.
- 02Built end-to-end applications demonstrating proficiency in core full-stack technologies.
- 03Mastered data structures and algorithms, achieving 5-star ratings on HackerRank in both Java and Python.
- 04Developed a strong foundation in computer science fundamentals, including operating systems, database management systems, and computer networks.
The Technical Arsenal.
My core stack and problem-solving tools mapped out in an optimized layout.
Current focus.
A living snapshot of what I'm spending mental energy on. Inspired by Derek Sivers' /now page.
## currently building
GitTool CLI
A powerful command-line interface for GitTool, bringing AI-powered GitHub workflows, repository analysis, and streamlined version control directly to your terminal. Check out the core platform at Vibhav-y/GitTool.
## currently learning
The AI stack end to end: embeddings, vector databases, chunking strategies, and how to measure retrieval quality properly. Doing daily DSA practice alongside it.
## current focus
Learning AI in depth and building RAG pipelines in real projects, from embeddings and vector stores to retrieval quality. After that, back to sharpening DSA and algorithmic problem solving.
Let's build something.
Currently seeking full-time roles in software engineering, backend systems, and full-stack development.
Jalandhar, Punjab, India
Share a little context and I'll take it from there.









