class Developer:
def __init__(self):
self.name = "Aayush Shrivastav"
self.role = "CSE Student | Aspiring AI Engineer"
self.language_spoken = ["hi_IN", "en_US"]
self.code = ["Python", "JavaScript", "TypeScript", "C++"]
self.tools = ["React", "Node.js", "PyTorch", "Docker"]
self.architecture = ["Microservices", "MVC", "Event-Driven"]
def current_focus(self):
return {
"learning": ["Computer Vision", "LLMs", "System Design"],
"building": ["AI Systems", "Full-Stack Apps"],
"goal": "Creating impactful tech solutions π―"
}π Computer Science Engineering student at G.L. Bajaj Institute of Technology
π‘ Passionate about building scalable AI systems and full-stack applications that solve real-world problems
π Currently working on Computer Vision projects with YOLO & DeepSORT, and building intelligent automation systems
π± Learning Advanced System Design, LLMs, and Distributed Systems
β‘ Fun fact: I believe in "code first, fix later" philosophy (with proper testing, of course! π)
Current Focus:
- π€ Building production-grade Computer Vision systems
- ποΈ Developing scalable TypeScript/Node.js backends
- π§ Strengthening DSA & System Design fundamentals
- π‘οΈ Exploring AI-powered security & threat detection
- π Contributing to impactful open-source projects
2026 Goals:
- Land an internship at a top tech company
- Build and deploy 3+ production-ready projects
- Master advanced AI/ML concepts and LLMs
- Contribute meaningfully to open-source community
Tech Stack: Python β’ Flask β’ Next.js 14 β’ TypeScript β’ Tailwind CSS
Automated programming analytics platform aggregating profiles from multiple coding platforms with AI-powered insights, intelligent duplicate detection, and real-time statistics dashboard with RESTful API design.
Tech Stack: Python β’ PyTorch β’ YOLO β’ DeepSORT β’ LSTM β’ OpenCV
Real-time intelligent video surveillance system with advanced threat detection, LSTM-based anomaly analysis, and multi-camera support capable of processing multiple video streams in real-time for production-grade security.
Tech Stack: MongoDB β’ Express.js β’ React β’ Node.js (MERN)
Intelligent scheduling system with automated conflict detection and resolution algorithms. Deployed for 25+ faculty members with role-based access control, reducing manual planning work by 80%+ and saving 15+ hours weekly.
π B.Tech in Computer Science Engineering
π G.L. Bajaj Institute of Technology and Management
| π« Achievement | π Description |
|---|---|
| π€ AI/ML Projects | Built production-grade computer vision and threat detection systems |
| ποΈ Full-Stack Development | Deployed scalable applications serving 25+ users with 80%+ efficiency gains |
| π― Problem Solving | Strong foundation in Data Structures & Algorithms |
| πΌ Real-World Impact | Projects saving 15+ hours weekly for end users |
mindmap
root((Aayush))
AI/ML
Computer Vision
Deep Learning
YOLO & DeepSORT
PyTorch
Full Stack
React & Next.js
Node.js & Express
MongoDB & PostgreSQL
DevOps
Docker
CI/CD
GitHub Actions
Core CS
DSA
System Design
Software Architecture
π‘ Open to opportunities β’ π€ Collaborations β’ π¬ Tech discussions


