Passionate ML Engineer building intelligent systems that make a difference
I'm a Final year Computer Science student at VIT Bhopal with a 9.15 CGPA, deeply fascinated by the intersection of Machine Learning and Real-world Applications.
- π Currently working on Advanced Deep Learning projects
- π± Learning MLOps and Production ML Systems
- π― Looking to collaborate on AI/ML Research projects
- π I write about ML on Medium
Deep Learning β’ Hugging Face β’ PyTorch β’ Gradio
Built an end-to-end news summarization platform using fine-tuned T5 model on 40k articles. Features automated content pipeline with GitHub Actions, processing 120+ articles daily.
Key Achievements: Reduced training loss from 2.36 β 1.95 | Mobile-friendly interface | Real-time deployment
Machine Learning β’ Healthcare β’ XGBoost
Developed ML pipeline for early metabolic syndrome detection using clinical data from 2,400 patients. Benchmarked 20+ algorithms with rigorous validation.
Key Achievements: 89.3% accuracy | 0.88 ROC AUC | Production-ready ensemble model
Major Contributions:
- π¨ DL-Simplified: Enhanced 7+ deep learning models with attention mechanisms
- π₯ HealthLearning: Built complete ML pipeline for medical prediction
- π― Impact: Mentored 2000+ students through ML/DL workshops
- π Content: Authored "DeepLearning MegaThread" blog series (400+ interactions)
- ποΈ Implementation: Built MobileViT XXS from scratch, achieved 35% accuracy improvement
- πͺ Events: Co-hosted major tech events
AI Engineer Professional Certificate
π― 200+ LeetCode Problems | π 200+ Independent DSA Problems | π CGPA: 9.15/10
- π¬ Research: Working on advanced transformer architectures
- π MLOps: Building scalable ML deployment pipelines
- π Open Source: Contributing to major ML frameworks
- π Learning: Exploring Reinforcement Learning and LLMs

