I am an AI Engineer & Project Lead specializing in Agentic AI Systems, Medical Imaging, and Cloud-Native Architectures. Currently leading R&D projects at RadioMedData and consulting for MLPCare.
I bridge the gap between academic research and production-grade engineering, focusing on scalable AI solutions in healthcare.
- 🔭 I’m currently working on Multi-Agent LLM Orchestration and Domain-Specific STT Fine-tuning.
- 🔬 Research focus: Privacy-Preserving AI (Differential Privacy & Homomorphic Encryption).
- 🤝 Collaboration: I am open to Academic & Industrial collaborations, especially in Medical AI and Privacy Tech.
| Project | Description | Tech Stack |
|---|---|---|
| 🔒 EHR Privacy Framework | HIBIT 2025 Project. Comprehensive toolkit for EHR privacy, combining anonymization, Differential Privacy, and Homomorphic Encryption simulations. Validated on MIMIC-III. | Python DiffPriv Encryption |
| 🧬 STS Classification | Graduation Project. Deep learning models for Soft Tissue Sarcoma classification from histopathological images. | PyTorch Computer Vision WSI |
| 🔬 WSI Export Tool | Specialized utility to export and process Whole Slide Images (WSI) for pathology AI pipelines. | OpenSlide Python |
| 🐧 Dotfiles (.config) | My personal configuration files for Linux/Home Lab environment. Shows my system administration workflow. | Bash Linux Config |
- Registers as a Solution to Vision Transformers’ Artifact Dilemma
- Understanding Cloudflare’s DNS Query Analytics
- Deep Learning for AI
- Parquet vs. CSV: A Comparison of File Formats for Data Storage with Experiment
- Week 2 — Success of AI Writers
- HIBIT 2025 (Poster): Privacy-preserving strategies for EHRs (DP + HE simulations)
- Submitted Manuscript: Foramen Palatinum Majus segmentation & morphometrics (MedSAM)
- 2023 National Pathology Congress: Soft tissue sarcoma imaging research (TCGA-SARC)
