I'm a Computer Vision & Machine Learning Researcher with 8+ years of experience building scalable algorithms and systems to solve complex, real-world visual data challenges.
My work spans:
- 🖼 Computer Vision – Object detection, video analysis, dense tracking
- 🤖 Deep Learning – CNNs, neural architecture search, hyperparameter optimization
- 🛠 Data Pipelines – Automated annotation workflows and scalable dataset pipelines
- 🌉 Synthetic-to-Real Transfer – Domain adaptation & generative AI for bridging dataset gaps
I'm passionate about turning cutting-edge research into deployable solutions, especially in industries like robotics, scientific imaging, and industrial automation.
Here are the core tools and technologies I use day-to-day:
| Category | Technologies |
|---|---|
| Languages | Python, MATLAB, Bash/Shell |
| DL Frameworks | PyTorch, Keras |
| CV Libraries | OpenCV, scikit-image, scikit-learn |
| Data Handling | Pandas, NumPy, JSON, Parquet |
| Deployment and Version Control | Docker, Git, GitHub |
I’ve authored 5 first-author publications, several co-authored papers, and has been presented at 10+ conferences and symposiums, bridging theory and real-world applications.
I’m open to collaboration, mentoring, and new opportunities in computer vision, deep learning, and applied AI.
- 📝 Google Scholar
- 📧 Email: psardana@purdue.edu