My name is Yash Maini and I'm a Machine Learning Engineer, Deep Learning Researcher, and MLOps Enthusiast from India
π¬ Deep Learning Research at GGSIPU-USAR (Medical & Agricultural Imaging)
π Published 2 IEEE papers on image classification with 97%+ accuracy
π Building production-ready ML systems with AWS & MLOps
π Currently learning Advanced MLOps, Model Deployment & System Design
π― Goals: Innovate in AI/ML, Deploy Scalable Solutions, Research Impact
π Top 11% globally on LeetCode (550+ problems solved)
β
GATE 2025 Qualified (Data Science & AI) - Top 8% nationwide
π‘οΈ CopyGuard β AI Code Detection Platform
- Serverless AI-powered code detection using AWS Bedrock (Claude v2)
- <2s response time, ~99.9% availability
- Full IaC with Terraform, monitored via Grafana
- π Read the Blog
- π₯ Watch Demo
π ThreatMatrix β MLOps Network Security Platform
- End-to-end ML pipeline for network intrusion detection
- Containerized with Docker, CI/CD via GitHub Actions
- Deployed on AWS EC2 with <15ms latency
- π Read the Blog
- π₯ Watch Demo
π Tomato Disease Detection - 97.23% Accuracy
- Optimized Xception model with Bayesian optimization
- IEEE Published Research
- π Read the Blog
π©Ί Breast Cancer Detection - 98.46% Accuracy
- Fine-tuned CNNs with Population-Based Training
- IEEE Published Research
- π Read the Blog
- IEEE ICAIQSA 2024: Xception for Tomato Leaf Disease Detection
- IEEE AI-Driven Smart Healthcare 2025: Breast Tumor Classification with Deep Learning
Languages & Core:
ML/AI & Data Science:
Cloud & DevOps:
Databases & Web:
βοΈ From Yashmaini30


