I'm an AI Engineer and Bioinformatician passionate about developing intelligent systems that accelerate biological discovery and healthcare research.
My work combines Machine Learning, Large Language Models, Protein Language Models, and Bioinformatics to solve real-world problems in computational biology.
- 🤖 Agentic AI
- 🧠 Large Language Models
- 🧬 Protein Language Models
- ⚡ Apache Spark
- 📊 Distributed AI
- 🏥 Clinical AI
- 🔬 Multi-omics
Machine learning-powered reverse vaccinology platform for predicting vaccine candidates against ESKAPE pathogens.
Highlights
- Ensemble Machine Learning
- Protein Feature Engineering
- Reverse Vaccinology
- Django Web Platform
- Research Publication
A bioinformatics platform integrating traditional annotation pipelines with Protein Language Models for automated protein functional annotation.
Interactive comparative genomics platform featuring
- Functional Annotation (COG)
- Pangenome Analysis
- Phylogenetic Analysis
- Interactive Visualization
Full-stack Django application implementing
- Fuel Stop Optimization
- Driver Hours-of-Service
- Route Planning
- React + Django
- Leaflet Maps
- HuggingFace Transformers
- Scikit-Learn
- XGBoost
- LightGBM
- Pandas
- NumPy
- Biopython
- BLAST
- DIAMOND
- SignalP
- NetMHCpan
- NetMHCIIpan
- IEDB
- Comparative Genomics
- Reverse Vaccinology
- Vaccine Informatics
- Protein Annotation
- Protein Language Models
- Large Language Models
- Multi-omics
- Explainable AI
- Clinical AI
- Drug Discovery
- 🧬 Machine Learning-driven Vaccine Candidate Prediction against ESKAPE Pathogens
- 🧬 AI-assisted Protein Annotation using Protein Language Models
