👨‍💻 Sastha Kumar N.

Research Administrator | Interdisciplinary Biotechnologist | AI & Bioinformatics Enthusiast

Hi, I'm Sastha Kumar N.
I bring together Biology, Artificial Intelligence, and Cloud Computing to design scalable solutions for research, healthcare, and education. My focus is on developing AI-powered tools, knowledge platforms, and pipelines that make science more accessible and impactful.

India’s first large-scale national genomic repository, developed under the Sivasakthi Science Foundation. BGDB is a platform for biodiversity genomics, AMR surveillance, and comparative genomics, supporting both researchers and students.

• Built cloud-native pipelines on AWS & Debian servers.
• Integrated genome annotation tools (Prokka, Roary, antiSMASH, GECCO).
• Added visualization via JBrowse2 & Next.js dashboards.
• Expanding into One Day One Genome (ODOG) initiatives.

A translational research hub for AI-driven biology and healthcare applications. The lab focuses on AI models for genomics, diagnostics, and drug discovery.

• Internship projects:
  • NAFLD comorbidity prediction using clinical & genomic data.
  • Gut microbiome & autoimmunity prediction models.
  • AI-driven annotation pipelines for microbial genomes.
• Building multi-modal AI agents for research design, literature review, and predictive biology.
• Currently experimenting with vector databases (FAISS, Qdrant) for semantic knowledge graphs.

The translational arm of Sivasakthi Science Foundation, connecting lab discoveries to industry. Focus areas include:

• Technology transfer of genomics & AI tools to biotech startups.
• Pilot projects for molecular diagnostics & therapeutics.
• Collaborations with hospitals, universities, and biotech firms.
• Driving bioeconomy growth via real-world applications of genomics.

As a Teaching Assistant for the graduate course Comparative Genomics with AI and Cloud Computing, I design modules blending bioinformatics, cloud systems, and AI tools.

• Built Streamlit & React-based study hubs for embedding lecture videos, notes, and pipelines.
• Created structured two-month bioinformatics teaching plans on AWS cloud, Linux, and pipelines.
• Developed student portals to track progress, showcase projects, and foster collaboration.

Part of my PhD work and broader research vision is to develop a pluggable biomedical AI agent:

• Multi-modal system: integrates genomic sequences, biological protocols, experimental metadata, and images.
• Capabilities:
  • Literature review & hypothesis generation.
  • Experimental protocol optimization.
  • Predictive analytics for lab workflows.
• Inspired by projects like Biomni, but customized for Indian biomedical research ecosystems.

• Predicting Liver Damage with Machine Learning
• Building a Research Portal with Streamlit & Docker
• How to Use AI in Ayurvedic Research