I build across the full stack — from data pipelines and ML models to clean, deployable web interfaces. I care about code that's maintainable, systems that scale, and products that solve real problems.
- Currently focused on AI/ML Engineering, DevOps automation, and open-source contributions.
- Learning AWS fundamentals and core cloud services (EC2, S3, IAM)
- Solving daily LeetCode problems
| Project | Description | Tech Stack |
|---|---|---|
| tailgating-detection-deepstream | This project implements a real-time video analytics system using NVIDIA DeepStream and the pre-trained DashcamNet model to detect tailgating behavior by processing driving video, detecting vehicles, and identifying unsafe following distances through bounding box analysis. |        |
| titanic-survival-ml-pipeline | End-to-end machine learning pipeline for Titanic survival prediction involving preprocessing, feature engineering, model training, evaluation, and prediction workflow. |    |
Languages
AI / ML
Web & DevOps
Databases & Design
- 🎉 Merged PR #2 in Nidzz07/Gods-Plan-SIH-2026
- 💪 Opened PR #2 in Nidzz07/Gods-Plan-SIH-2026
- ❗ Opened issue #1 in Nidzz07/Mastercard-Innovation-Challenge-2026
- 🎉 Merged PR #1 in Nidzz07/Gods-Plan-SIH-2026
- 💪 Opened PR #1 in Nidzz07/Gods-Plan-SIH-2026
- 🎉 Merged PR #4 in Saumya-singh2101/Saarthi
- 💪 Opened PR #4 in Saumya-singh2101/Saarthi
- ℹ️ Assigned issue #3 in Saumya-singh2101/Saarthi
- ℹ️ Labeled issue #3 in Saumya-singh2101/Saarthi
- ❗ Opened issue #3 in Saumya-singh2101/Saarthi
- End-to-end thinking — from raw data to deployed product.
- Clean systems — readable code, documented repos, reproducible pipelines.
- Always learning — currently deepening expertise in DevOps, cloud, and LLMs.
Open to: internships · open-source collaboration · AI/ML projects