Machine Learning Engineer | Computer Vision Specialist | AWS AI-ML Scholar
B.Tech in Computer Science @ IIIT Jabalpur (2022-2026)
Top 10 @ MLH Hackbyte 3.0 | Kaggle Competitions Expert
π§ Core Competencies
Machine Learning
Computer Vision
Deep Learning
Natural Language Processing
π οΈ Technologies
- Achieved 96.5% accuracy using DenseNet-121 (12% improvement over baseline CNN)
- Real-time detection pipeline with OpenCV + Flask integration
- Tech Stack: Transfer Learning, ResNet-50, InceptionV3
- 93.5% accuracy using GRU architecture (30% better than traditional models)
- Optimized with Word2Vec + Optuna hyperparameter tuning
- mAP@50: 0.993 | Inference Time: 32.34ms/frame
- Integrated SAM for precise segmentation + BOT-sort tracking
- Custom basketball dataset training
π₯ MLH Hackbyte 3.0 Top 10 Finalist
- Built accessible education platform for visually impaired
- Integrated Hugging Face STT/TTS models
π AWS AI-ML Scholar - Selected among top candidates for ML excellence
π Kaggle Top 15% - Ranked in top 15% (7,152 participants) - Playground S4E6
ποΈ GSSOC'24 Contributor - Merged PRs in AI/ML projects: Model optimization + NLP features